data_analyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "104a15fa",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:13.802669Z",
     "end_time": "2023-04-21T16:36:14.157756Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                review  gpt-judge  gpt-label  \\\n",
      "0    回复 @NaHSO3 :很可惜画作内的情感也是靠人去诠释的，而不是画作本身就能散打情感，所以...          0          1   \n",
      "1                          回复 @她若星辰璀璨 :艺术无用，所以无所谓代不代替。          0          0   \n",
      "2                                 感觉就是 AI 辅助美术 达到更好的美术          1          1   \n",
      "3                                 在资本主义中，人和工具的对立永远不会结束          0          0   \n",
      "4                                                三连求分享          1          1   \n",
      "..                                                 ...        ...        ...   \n",
      "995                                               大使馆。          0          1   \n",
      "996                                              不愧是李白          0          1   \n",
      "997                                                发你咯          0          1   \n",
      "998                                             [doge]          0          1   \n",
      "999                       猴子们在火葬场购买机械键盘x\\r\\n跳车党在矿场购买显卡          0          1   \n",
      "\n",
      "     label_0-pred  label_1-pred  pred-label                 time  likes  \n",
      "0        1.261572      0.027117           0  2022-09-01 02:07:15      3  \n",
      "1        1.680081     -0.430437           0  2022-09-01 02:18:03      1  \n",
      "2       -0.660712      1.785736           1  2022-09-01 03:28:37    149  \n",
      "3        2.141771     -2.703347           0  2022-09-01 05:43:40     58  \n",
      "4        0.895908      0.205663           0  2022-09-01 07:13:40      2  \n",
      "..            ...           ...         ...                  ...    ...  \n",
      "995      1.260695      0.046621           0  2022-09-28 15:10:04      7  \n",
      "996     -1.467075      1.909472           1  2022-09-28 15:12:21      1  \n",
      "997      1.617473     -0.397620           0  2022-09-28 15:16:49      0  \n",
      "998      1.563185     -0.286544           0  2022-09-28 15:21:48      1  \n",
      "999      1.914392     -0.765216           0  2022-09-28 15:25:33      0  \n",
      "\n",
      "[1000 rows x 8 columns]\n",
      "                                                 review  gpt-judge  gpt-label  \\\n",
      "0                                            这人怎么老是喜欢评论          0          0   \n",
      "1                                总是这样，再好的事，总能有人给你玩出坏花样.          0          0   \n",
      "2                               把这在处罚力度用在惩罚网暴和地域黑倒是没有问题          0          1   \n",
      "3                                               [笑哭]我也是          0          2   \n",
      "4                                                   和事佬          0          1   \n",
      "...                                                 ...        ...        ...   \n",
      "1215                                              @央视新闻          0          2   \n",
      "1216                                               @新华社          0          2   \n",
      "1217  我这儿是呼市下属的旗县，今天最高气温零上十度，最低气温零下五度，一天当中也就差不多四个小时是...          0          0   \n",
      "1218                                            都是一堆小孩儿          0          0   \n",
      "1219                                               [呲牙]          0          1   \n",
      "\n",
      "      label_0-pred  label_1-pred  pred-label                 time  likes  \n",
      "0         3.290821      2.067318           0  2022-09-01 01:11:59     13  \n",
      "1         2.811030      2.397325           0  2022-09-01 01:21:48      9  \n",
      "2         1.880664      3.100283           1  2022-09-01 01:31:33     50  \n",
      "3         1.739829      0.025029           0  2022-09-01 01:34:39      0  \n",
      "4         1.032883     -0.016651           0  2022-09-01 03:09:18     14  \n",
      "...            ...           ...         ...                  ...    ...  \n",
      "1215      1.278596      1.726542           1  2022-11-04 13:23:51     21  \n",
      "1216      0.401040      1.989399           1  2022-11-04 13:24:00     19  \n",
      "1217      3.214828      2.488635           0  2022-11-04 14:03:00      8  \n",
      "1218      1.992673      1.122169           2  2022-11-04 14:21:40    227  \n",
      "1219     -0.037388     -0.488322           5  2022-11-04 15:15:22     11  \n",
      "\n",
      "[1220 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "# 读取数据\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "# 读取小批量数据\n",
    "ai_prediction_test = pd.read_csv(\"./data/ai_prediction.csv\")\n",
    "policy_prediction_test = pd.read_csv(\"./data/policy_prediction.csv\")\n",
    "n_ai = len(ai_prediction_test)\n",
    "n_policy = len(policy_prediction_test)\n",
    "print(ai_prediction_test)\n",
    "print(policy_prediction_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b1721762",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.160756Z",
     "end_time": "2023-04-21T16:36:14.204764Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ai的有效率为：0.387\n",
      "policy的有效率为：0.33934426229508197\n"
     ]
    }
   ],
   "source": [
    "# 计算有效率\n",
    "def gpt_judge_to_int(x):\n",
    "    if isinstance(x, int):\n",
    "        return x\n",
    "    else:\n",
    "        if x.count(\"0\") >= x.count(\"1\"):\n",
    "            return 0\n",
    "        else:\n",
    "            return 1\n",
    "\n",
    "def effective_rate(n, X):\n",
    "    return np.sum([gpt_judge_to_int(x) for x in X]) / n\n",
    "ai_effective_rate = effective_rate(n_ai, ai_prediction_test[\"gpt-judge\"])\n",
    "policy_effective_rate = effective_rate(n_policy, policy_prediction_test[\"gpt-judge\"])\n",
    "# print(ai_prediction_data[\"gpt-judge\"])\n",
    "# print(policy_prediction_data[\"gpt-judge\"])\n",
    "print(\"ai的有效率为：{}\".format(ai_effective_rate))\n",
    "print(\"policy的有效率为：{}\".format(policy_effective_rate))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "74e29268",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.175756Z",
     "end_time": "2023-04-21T16:36:14.209757Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 5603\n",
      "5 8352\n"
     ]
    }
   ],
   "source": [
    "print(max(ai_prediction_test[\"pred-label\"]), max(ai_prediction_test[\"likes\"]))\n",
    "print(max(policy_prediction_test[\"pred-label\"]), max(policy_prediction_test[\"likes\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "52f7bca8",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.191756Z",
     "end_time": "2023-04-21T16:36:14.255262Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                  review  gpt-judge  \\\n",
      "0      回复 @NaHSO3 :很可惜画作内的情感也是靠人去诠释的，而不是画作本身就能散打情感，所以...          0   \n",
      "1                            回复 @她若星辰璀璨 :艺术无用，所以无所谓代不代替。          0   \n",
      "2                                   感觉就是 AI 辅助美术 达到更好的美术          0   \n",
      "3                                   在资本主义中，人和工具的对立永远不会结束          0   \n",
      "4                                                  三连求分享          0   \n",
      "...                                                  ...        ...   \n",
      "10003                  还是谋杀定罪啊，正当防卫是有条件的，不然所有人都正当防卫了[吃瓜]          0   \n",
      "10004                                             就像百度治病          0   \n",
      "10005                                       我们没有智能，但是有人工          0   \n",
      "10006  我是微软员工 说实话一开始内部听说这东西的时候只感觉是噱头而已 刺激下市场涨涨股价完事 直到...          0   \n",
      "10007                                           三连求书，谢谢啦          0   \n",
      "\n",
      "       gpt-label  label_0-pred  label_1-pred  pred-label                 time  \\\n",
      "0              1      1.261572      0.027117           0  2022-09-01 02:07:15   \n",
      "1              0      1.680081     -0.430437           0  2022-09-01 02:18:03   \n",
      "2              1     -0.660712      1.785736           1  2022-09-01 03:28:37   \n",
      "3              0      2.141771     -2.703347           0  2022-09-01 05:43:40   \n",
      "4              1      0.895908      0.205663           0  2022-09-01 07:13:40   \n",
      "...          ...           ...           ...         ...                  ...   \n",
      "10003          0      1.933075     -0.585048           0  2023-02-28 21:57:59   \n",
      "10004          0      0.693181      0.776376           1  2023-02-28 22:18:15   \n",
      "10005          0      1.372840     -0.073639           0  2023-02-28 22:31:31   \n",
      "10006          0      1.282167      0.166324           0  2023-02-28 23:08:46   \n",
      "10007          0     -1.265990      1.802531           1  2023-02-28 23:56:39   \n",
      "\n",
      "       likes  \n",
      "0          3  \n",
      "1          1  \n",
      "2        149  \n",
      "3         58  \n",
      "4          2  \n",
      "...      ...  \n",
      "10003      0  \n",
      "10004      0  \n",
      "10005      0  \n",
      "10006     33  \n",
      "10007      1  \n",
      "\n",
      "[10008 rows x 8 columns]\n",
      "                                                  review gpt-judge  \\\n",
      "0                                             这人怎么老是喜欢评论         0   \n",
      "1                                 总是这样，再好的事，总能有人给你玩出坏花样.         0   \n",
      "2                                把这在处罚力度用在惩罚网暴和地域黑倒是没有问题         0   \n",
      "3                                                [笑哭]我也是         0   \n",
      "4                                                    和事佬         0   \n",
      "...                                                  ...       ...   \n",
      "10029                                      已经使用疫苗代替了[妙啊]         0   \n",
      "10030  省流：\\r\\n打了第四针疫苗到起效，\\r\\n等两个月过高峰期+公共区消毒，\\r\\n最后才改戴...         0   \n",
      "10031                                               [OK]         0   \n",
      "10032                                                  μ         0   \n",
      "10033                                           好活[doge]         0   \n",
      "\n",
      "                  gpt-label  label_0-pred  label_1-pred  pred-label  \\\n",
      "0                         0      3.290821      2.067318           0   \n",
      "1                         0      2.811030      2.397325           0   \n",
      "2                         1      1.880664      3.100283           1   \n",
      "3      根据要求，只能返回1或0，因此答案为1。      1.739829      0.025029           0   \n",
      "4                         1      1.032883     -0.016651           0   \n",
      "...                     ...           ...           ...         ...   \n",
      "10029                     0      2.994520      2.675948           0   \n",
      "10030                     0      1.014575      3.381280           1   \n",
      "10031                     0     -1.010110     -0.950456           5   \n",
      "10032                     0      0.931093      2.295386           1   \n",
      "10033                     0      0.632992      0.006048           4   \n",
      "\n",
      "                      time  likes  \n",
      "0      2022-09-01 01:11:59     13  \n",
      "1      2022-09-01 01:21:48      9  \n",
      "2      2022-09-01 01:31:33     50  \n",
      "3      2022-09-01 01:34:39      0  \n",
      "4      2022-09-01 03:09:18     14  \n",
      "...                    ...    ...  \n",
      "10029  2023-02-28 11:12:15      2  \n",
      "10030  2023-02-28 11:12:34     13  \n",
      "10031  2023-02-28 11:57:57      1  \n",
      "10032  2023-02-28 14:11:31      0  \n",
      "10033  2023-02-28 22:08:34      1  \n",
      "\n",
      "[10034 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "ai_prediction_data = pd.read_csv(\"./data/ai_prediction_all.csv\")\n",
    "policy_prediction_data = pd.read_csv(\"./data/policy_prediction_all.csv\")\n",
    "print(ai_prediction_data)\n",
    "print(policy_prediction_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "80855145",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.255262Z",
     "end_time": "2023-04-21T16:36:14.269261Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 13292\n",
      "5 37552\n"
     ]
    }
   ],
   "source": [
    "print(max(ai_prediction_data[\"pred-label\"]), max(ai_prediction_data[\"likes\"]))\n",
    "print(max(policy_prediction_data[\"pred-label\"]), max(policy_prediction_data[\"likes\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "308180bc",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.269261Z",
     "end_time": "2023-04-21T16:36:14.322260Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回复 @Kumori_Official :中医怎么了？还黑中医？日本人都快把中药当宝供上了我们为什么要轻视中医？ 2\n",
      "[東雪蓮_流汗][東雪蓮_流汗][東雪蓮_流汗][東雪蓮_流汗] 5\n",
      "海南大学今天发通告一个教师不做核酸被取消教师资格了 2\n",
      "我和我的家乡[辣眼睛][辣眼睛] 4\n",
      "学校三天三检完，市里连夜再加三天三检 2\n",
      "【《历史研究》刊发特稿《明清时期“闭关锁国”问题新探》 敬请关注！-哔哩哔哩】 https://b23.tv/ofeNkYI 3\n",
      "现在小朋友少见多怪 2\n",
      "小心被开除乡籍 2\n",
      "https://www.bilibili.com/video/BV1214y1W7ca?spm_id_from=333.337.search-card.all.click&vd_source=19cc5c02e8b2d5e3093d5f7d369b5f12 4\n",
      "300+地级市 这一年目标200 [2022] 32/200 2\n",
      "二伯：爸爸，你也不想你最心爱的孙子不能当公务员吧 2\n",
      "承德出人才啊 2\n",
      "来自督工的肯定 2\n",
      "有啊，不就是V博啊，每个人都有小作文的权利，还是直接上答到天庭。\r\n",
      "舆论的曝光比上访厉害的很，而且V博还喜欢这种增加自己准线上治国的感觉。 2\n",
      "【石家庄疫情形势严峻！没有这两个证尽量别出来，小心被抓-哔哩哔哩】 https://b23.tv/pPGQUnn 2\n",
      "我错在人生规划太简单，还没读研就上班 2\n",
      "这可是老家啊[热词系列_知识增加] 5\n",
      "这绝对是督工爱的话题 2\n",
      "93年的也秃了[doge][doge] 4\n",
      "深刻 4\n",
      "体温加10°，水分-10 4\n",
      "督工这期啊，让我想起在部队那时候，假期留校。每个宿舍必须要留一个人。大家就出钱，一轮200，依次出钱加码。直到哪个人说，我留下，那些钱就归他。留校的人拿钱，其他人回家。 2\n",
      "小朋友少见多怪是好事，这一方面说明了我们社会确实在一点点进步，另一方面也表明新一代人有向不公反抗的意识和力量。 2\n",
      "就差龙场悟道了[doge] 4\n",
      "[热词系列_爱了爱了] 5\n",
      "我们太需要督工这样的媒体人了。 2\n",
      "老谭立夫辣[滑稽] 4\n",
      "市和学校不通用？ 2\n",
      "我恒大翡翠华庭的志愿者，今天工作差点遭恒大翡翠华庭6栋住户打了，又是骂爹又是骂妈，骂完还要打我哦，真的，我才16岁。为这些人服务干啥 2\n",
      "自投罗网？已经几省联名通缉了[doge] 2\n",
      "老观众觉得马督工的思想，其实是有体系的，那就是权利和义务对等，以及摆桌上来谈钱，，，，我用时约1个月，把所有睡前消息基本都看了一遍 2\n",
      "最奇怪的是那么多各个国家国外留学生都表示现在就是大号流感，就是没人信。当人们为一件事付出太多太多后，这件事就再也没法被质疑和否定了。 2\n",
      "美国有防疫经费吗？ 2\n",
      "美国居然有防疫[呆] 2\n",
      "骗美国民众没有疫情不要花钱呐 2\n",
      "发生在其他地方的战争优先级居然这么高，老美真是。。。。[疑惑] 2\n",
      "[罗小黑战记_无语] 4\n",
      "美国防疫?[思考]居然还有防疫资金?[思考] 2\n",
      "马督工，如果有机会，希望你能到地方挂职一年，到区县一级去解决具体问题，挂职后，相信你的思想会有很大变化，对问题的认识更深刻，提出的观点更犀利、更实际、更可行。此外，建议尽量不要谈社会科学之外的问题。在社科领域，你的观点独到、成体系、有一定合理性。但其他领域就不好说了。 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "回复 @快点_花都谢了 :美国？美国部分人！ 2\n",
      "在美国，防疫是防疫，防疫的钱是防疫的钱，两者之间没任何关系，这是美国特色。。[doge] 2\n",
      "https://www.bilibili.com/video/BV1fx411s76k?spm_id_from=333.337.search-card.all.click&vd_source=d5dc0189ff54da49d617b20428d88e95 4\n",
      "承德就在天津西北方，这还是得好好学习 2\n",
      "回复 @A_bobobobo :只知道承德避暑山庄，没去过河北，又不是学什么地理的 3\n",
      "[嘉然_点赞] 5\n",
      "坐标广西，督工说的非常正确，我隔壁有两个村子，他们共同的特点就是，村里有一个小团体在县城当公务员，每次他们村家族有什么活动出手都特别阔绰。而且不是我吹，县城里面，小中产阶级，一般都是这群人。 2\n",
      "军人世家 4\n",
      "挂职？选刚从名校里出来的硕士博士不好吗，这些人挂个一年就同化的差不多了可以用了，安全又卫生。选马督工这种的？这么认真干嘛。 2\n",
      "2022年，你这作业做的舒服吗？ 2\n",
      "能借用一下作为素材吗up！ 4\n",
      "新加坡赤道那 怕冬天？\r\n",
      "哦⚆ǒ⚆不🙅🏻。是怕冬天欧美传入 2\n",
      "新加坡赤道那 怕冬天？\r\n",
      "哦⚆ǒ⚆不🙅🏻。是怕冬天欧美传入\r\n",
      "新加坡位于北纬1°18′ 2\n",
      "美国援助美国花，最多分点给老拜家！ 2\n",
      "[tv_皱眉] 4\n",
      "万万没想到美国还有防疫？ 2\n",
      "已经一键三连，用于完成学校信息作业，会标明来源处 2\n",
      "俄罗斯疫情死亡38万了，到底是谁共存？ 2\n",
      "对对对，我2022还没过完已经被封了快一百二十天了，学校封完回家封。去了老家差点又被封，但凡还能好好过日子我真不会有什么意见。 2\n",
      "冷知识:韩语在中国官方中的叫法是朝鲜语[doge] 2\n",
      "说得好[打call] 5\n",
      "[拥抱] 5\n",
      "回复 @徒手造1ll1lll11l1ll :睡王代表传统精英 大家族。董王不管这些只代表投他票的中产。在美国穷人一直没人管，看看社区就知道了妇人社区安全的一逼，那些不交钱的社区都乱的一逼 2\n",
      "这波叫忠孝两难全 2\n",
      "回复 @凌落作尘 :笑死我了，昨天和一日本大叔聊中国防疫他被吓傻了都 2\n",
      "再这样下去回不去学校我就要重修挂科了 2\n",
      "19年的时候，想着也就一两年，就能春暖花开，没想到大学从入学到毕业都没能结束，真的有些难过，在学校半年都回不了家qwq 2\n",
      "你好 3\n",
      "韩国有防弹少年团，中国有防疫少年团[呲牙][呲牙][呲牙][呲牙] 5\n",
      "素材，打错了，bhys 4\n",
      "多看观察者网 4\n",
      "可以免费用嘛？ 3\n",
      "⁣ 3\n",
      "不知道为啥感觉北方现在都好严重，我学校现在还没个开学的消息[喜极而泣] 2\n",
      "统一[热词系列_三连] 5\n",
      "任何？ 4\n",
      "但凡有点脑子的人不会相信在家不戴口罩会被处理 2\n",
      "但凡有点脑子的人不会相信在家不戴口罩会被处理 2\n",
      "所以进门消杀的新闻你是忘了么？ 2\n",
      "支持警察，这种人就该拘留 2\n",
      "想看完整版可以去推上看 4\n",
      "求关键词 5\n",
      "求关键词 5\n",
      "对违法犯罪分子就要震慑！ 2\n",
      "我顺便再补充几点\r\n",
      "第一，防疫人员没有必要必须佩戴执法记录仪\r\n",
      "第二，并不是所有的小区监控都是好的\r\n",
      "第三，辱骂和殴打这件事情并不需要发生十几分钟，也有可能就是踢几脚上骂上几句，这也算是辱骂，和殴打\r\n",
      "第四就是关于民警传唤《刑事诉讼法》第一百一十九条\r\n",
      "对不需要逮捕、拘留的犯罪嫌疑人，可以传唤到犯罪嫌疑人所在市、县内的指定地点或者到他的住处进行讯问，但是应当出示人民检察院或者公安机关的证明文件。对在现场发现的犯罪嫌疑人，经出示工作证件，可以口头传唤，但应当在讯问笔录中注明。\r\n",
      "传唤、拘传持续的时间不得超过十二小时\r\n",
      "以上全部内容来自百度搜索 2\n",
      "看不懂文章是不，要不要自己去翻翻原文，是该住户辱骂殴打防疫人员后，拒绝警方传唤才到家中强制执行的行吗，这已经是违法人员还得八抬大轿请回去是吗？ 2\n",
      "但凡幼儿园毕业了也不能相信在家不带口罩上门抓这种事，这么传播的不仅坏还特么的蠢 2\n",
      "2022年9月8日，观山湖分局长岭派出所接到市民报警人。称在美的林城时代美桐苑15栋楼下有业主不配合疫情防疫工作，派出所民警赶到现场核实情况后，发现居民秦某确有不戴口罩出门购物、辱骂威胁殴打防疫志愿者的情况存在。\r\n",
      "\r\n",
      "民警为此上门敲门并告知传唤事由，秦某及房内人员却拒绝开门，在告知和敲门被拒后，在社区和物业的工作人员见证下，民警强制进门开展强制传唤工作(视频内容所示)，并依照疫情防控相关法规将秦某强制传唤至派出所作进一步处理，整个执法过程有执法仪视频为证。 2\n",
      "加油香港 5\n",
      "拒绝传唤还要当哄宝宝一样是吧？ 2\n",
      "说再多有用嘛？评论里一堆人不“识字”的 2\n",
      "这么多人问殴打视频，难道防疫人员要带个记录仪吗？还有传谣犯法 2\n",
      "意思是要上电棍？也太善良了吧居然担心警察嗓子受伤[doge] 2\n",
      "微博上带头造谣的那个怎么处理？ 2\n",
      "有眼睛看看简介 4\n",
      "什么自我介绍 2\n",
      "[热词系列_妙啊] 5\n",
      "[热词系列_再来亿遍] 5\n",
      "首先第一点，是否殴打志愿者不能仅凭一面之词，而且志愿者身上肯定没有记录仪，请问他是怎么个殴打法和威胁法，警方是怎么认定殴打事实存在，这一点我目前存疑（当然警方手里可能有证据，但如果仅凭一面之词是不能传唤的）；第二点，现今口头传唤被广泛滥用，就算没有证据的情况下，只要对你说一句口头传唤，此时你只要拒绝就可以直接强制执行，哪怕没有证据只是怀疑都必须服从，这其实是有严重问题的。 2\n",
      "[笑哭][笑哭][笑哭] 4\n",
      "感谢UP主，帮助完成娃娃作业，已一三 2\n",
      "我已经在家五十天了[大哭] 2\n",
      "[支持][支持][支持][支持][支持] 5\n",
      "都不想挨骂，网络暴力太可怕了 2\n",
      "连花清瘟[滑稽] 4\n",
      "两年多了，大家还没习惯吗？戴口罩，捅嗓子眼，屯物资！\r\n",
      "众志成城，共渡难关！\r\n",
      "其实有几个邻居互相帮助，困难都可以过去！ 2\n",
      "老胡说得对，如果放开，我反而会尽可能减少出门，尤其是电影院商场等等人多的地方。理论上的东西说的再花哨，也敌不过西方放开国家血淋淋的现实 2\n",
      "不仅是网暴，你口罩没带对核酸不及时下楼散个步做小区里的大爷大妈都要骂死你。 2\n",
      "希望国家不要被一些不理性的言论影响。 2\n",
      "9月中旬，好多省因为疫情取消注册咨询考试，考生们辛辛苦苦用业余时间学半年，在本市没有疫情的情况下被取消考试了。\r\n",
      "这种情况千万不要再发生了，太伤心了！ 2\n",
      "吃不上饭没有收入是最大问题 2\n",
      "放开不是躺平[tv_难过] 4\n",
      "希望老胡能够看到！\r\n",
      "接下来10、11月执业资格考试更加密集，少说几十万人参加考试，我的考试也在其中。\r\n",
      "别再出现全省只有3个中风险区，新增1例的情况下全省停考这种悲剧！ 2\n",
      "你答卷子难题答对了能给全卷加多少分？答错了对做其他题目有影响吗？ 2\n",
      "这明显是社区自己瞎乱来[笑哭]至少我这边根本没这种事 2\n",
      "太离谱了！我们学校也一样，能够让学生去食堂吃饭，但是却不让学生去教学楼上课和自习[喜极而泣] 2\n",
      "回复 @水工之神 :真当做试卷呐，这是关系人命的事情 2\n",
      "我们需要的不是放开，不是共存，而是更为合理的防疫政策 2\n",
      "[给心心] 5\n",
      "这三针疫苗打完防住什么了？ 2\n",
      "回复 @白捕鸟艾琳 :我们这有。。因为是2省交界，四川疫情严重，云南封了，我们在四川这边上班的同事什么证到期了，找家里人带到云南去审，那边不同意。他在卡口那里把证给家里人，守卡口的人直接把证给没收了[辣眼睛] 2\n",
      "那是因为财政状况尚可，和国外交流不是特别密集，国内这样的城市不多 2\n",
      "回复 @偷偷过去 :对，至少学校不应该封闭管理，工作单位不能要求员工不准离开本市，不能不准大家出国旅游。其他防疫措施和治疗措施，比如rna检测之类的，都可以积极配合 2\n",
      "跨省出行的话可以申请但不是辅导员来批（跨省需要上报学校和清远市防控办，双方同意后方可出行，审批时间会非常长，而且通过率极低），如果离校后因涉及疫情无法返校需要隔离的话，后果是由自己承担的！！！[doge][doge][doge] 2\n",
      "唉，大学生已经被封在学校三年了，而且学校只封大学生 2\n",
      "？？ 4\n",
      "牛 5\n",
      "我是济南的，社会面多大部分不戴口罩，学生在学校也不戴口罩，但是要每周2次核酸，做核酸时也不保持距离，而且很多人不戴口罩，现场维持秩序的也不戴口罩，捅嗓子眼也是沾沾舌头走过场！请问这样的常态化核酸有必要吗？ 2\n",
      "...... 4\n",
      "[汉化日记3_啊对对对] 4\n",
      "这个是否有点 4\n",
      "回复 @清梦盈满船 :这种防控对国家的经济文化带来的摧残代价太大了，而且还要长时间持续，还有部分特殊人和特殊家庭变成的心理伤害。。。我的意思是说，你说的很对，我听你的。 2\n",
      "到底这种程度的防控能够减少的死亡人数多还是这种能促使死亡的人数多，值得我反思[思考] 2\n",
      "其实老师也难受得要命[笑哭] 2\n",
      "关键为啥出境要限制 2\n",
      "在青海上了一个月的网课，同意你的看法 2\n",
      "斯德哥尔摩综合症会经历以下四大历程：\r\n",
      "\r\n",
      "恐惧：因为突如其来的胁迫与威吓导致现况改变。\r\n",
      "害怕：笼罩在不安的环境中，身心皆受威胁。\r\n",
      "同情：和挟持者长期相处体谅到对方不得已行为，且并未受到‘直接’伤害。\r\n",
      "帮助：给予挟持者无形帮助如配合、不逃脱、安抚等；或有形帮助如协助逃脱、向法官说情、一起逃亡等。\r\n",
      "电影《酷寒杀手》中有斯德哥尔摩综合症的情节 2\n",
      "医院不会崩溃 2\n",
      "去年造价工程师取消了，今年在兰州，马上考试了，还在封着，根本不知道要不要复习，我都快抑郁了。 2\n",
      "伏地魔没鼻子用不着这玩意 4\n",
      "谢谢，已经唱出来了[doge] 5\n",
      "哪些？ 4\n",
      "老年病  儿科  呼吸科会崩溃 2\n",
      "北大是不是也搞了这种鼻罩。哈哈哈 2\n",
      "河南表示这边疫情反反复复 2\n",
      "回复 @我只觉得她们吵闹 :隔离14天，返🐑，呼和浩特办理两场婚宴造成扩散 2\n",
      "[呲牙] 5\n",
      "1.中国经济足够大。2.中国有一套至上而下的，全民动员体系。 2\n",
      "这是全体教育，也是全民动员，时间一长，难免有人对严格防疫不满。\r\n",
      "中国人民做一切光明正大的人类事业，注定是世界上最重要的正义力量！我坚信这点！ 2\n",
      "西方过度强调个体的独立性，没有家国概念，自由大于生命，只顾自己，不顾他人[doge] 2\n",
      "在家封了两个月，无收入，天天支出，还有房贷，我真不知道该怎么办了[热] 2\n",
      "至少我们家没一个生病的，也没一个生活遇到困难的，这就够了 2\n",
      "你们那边的人是不是脑子多多少少有点问题。 2\n",
      "室友前天觉得应该像外国一样共存当感冒，大不了就一死。昨天我们宿舍这层有确诊了，我们都是密接，他开始后悔没打第三针疫苗，害怕阳了有后遗症，都准备把股票割肉卖了转银行卡里密码告诉父母。有人不怕危险，是因为你现在离危险很远，想象中站在五十层高楼天台和你实际站在五十层高楼天台是完全两种概念。 还有一点感处是只有当自己利益受损时候人才露出真面目，我们学校有女生翻墙出去看男朋友，没出事的时候大家可能觉得这真是魔幻的世界，大学生该自由，她真可怜。但她这次阳了，现在大家都面临这百分之零点几的风险时候，都恨不得把她手撕了，都吵着把她开除了。 2\n",
      "因为14亿人，因为老龄化，因为只有400万本执业医师注册证。 2\n",
      "谢谢你，讲介使 4\n",
      "笑死我了又死不了，搞得跟要写遗嘱一样，你室友挺有意思的 2\n",
      "你说的非常的准确，国家对这类染上后无法靠自身力量解除的，管的非常的严。除了债，其他任何情况下只要你说我不想再接触了，都可以以自己的意志不再接触。即使现在做不到，也在尽力做，比如不断扩大医保范围 2\n",
      "IP属地:广东[doge] 5\n",
      "1 5\n",
      "回复 @有话日后再说 : 所以研究生就这水平了啊？ 2\n",
      "回复 @有话日后再说 :你这个研究生算是白读了 2\n",
      "她ip在广东 4\n",
      "中国的道家思想，尤其是杨朱学派更是这么认为的，西方那些都是弟弟。 2\n",
      "先百花齐放，百家争鸣\r\n",
      "然后引蛇出洞，一网打尽是吧\r\n",
      "[藏狐]咋们文艺界可是有先例的 4\n",
      "季度肤白 4\n",
      "是的 5\n",
      "ip：广东 4\n",
      "看哭了 4\n",
      "每一个还是算了，致敬每一个全心全意奉献自己的防疫人员 2\n",
      "实际数量比这个更低，三甲医院可不是靠一本研究生毕业证和一本执业医师资格证就能进的，换句话说稍微大一点的医院医生数量甚至少到需要这400万人去竞争的程度 2\n",
      "回复 @起名真发愁 :影像也挺好的，有个负责的影像大夫能起到查漏补缺的作用，前两天给老人做个CT，怕直肠癌转移就做了上半身和肝脏的，影像大夫一看原发病是直肠癌坚持让回去找那边主任确认一下没开错才肯给做，这种谨慎的影像大夫也很重要 2\n",
      "放开开，不知道命能不能保得住？我知道你的生活困难。 2\n",
      "钱[doge] 4\n",
      "[热词系列_知识增加] 5\n",
      "[藏狐] 5\n",
      "[doge] 5\n",
      "让我想起了苏老：“城市划区分治，居家隔离并送菜上门，蒸服消毒，药烟净化空气，安慰勉励受病者”[喜欢] 2\n",
      "大明劫是根据真实历史改编的电影，大部分剧情都可以在明史和野史中找到 4\n",
      "原来东汉就有辣椒了呀 2\n",
      "秦朝就有隔离的方舱医院了，当时叫疠所。 3\n",
      "不会怎样，传播不开，顶多死几个村子 2\n",
      "我记得古代瘟疫贼难防治 2\n",
      "我记得古代瘟疫贼难防治 2\n",
      "[吃瓜] 4\n",
      "你要清楚现在新冠的主要携疫者都聚集在中亚和北非地区，欧美并没有像国内自媒体宣传的那样疫病成灾无法生存，他们一样也有疫苗一样有居家隔离[捂脸]如果不信你可以问问在欧美的亲友或者看看留学生vlog 2\n",
      "不封老师主要是很多老师在学校里没住的地方啊，如果所有老师都和学生一样住学校的话，一样会被封的 2\n",
      "最有效的不是全村大火吗[OK] 2\n",
      "辣椒，东汉[哈欠] 4\n",
      "【不属于自制】范围的例子包括不仅限于以下五点：\r\n",
      "1、无加工的纯片段截取：加工指对原片包括不仅限于添加特效包装，文字点评，改图，音轨替换，添加配音,等二次加工行为\r\n",
      "2、字幕：未经版权方授权的翻译字幕不属于自制类型\r\n",
      "3、录屏：对投稿人没有参与制作、编辑加工的作品进行录播\r\n",
      "4、他人代投（包括授权搬运）：非原作者或其创作团队的账号在站内协助原作者进行投稿<br/>\r\n",
      "5、其他低创内容\r\n",
      "其他包括不仅限于例如：\r\n",
      "1、自行购碟压制上传、单纯倍速播放、倒放、镜像、调色、补帧等\r\n",
      "2、非官方人员或原作者参与的摄像、录制的正式LIVE现场录像视频 4\n",
      "《》 5\n",
      "回复 @痴禾南北玩 :好家伙，复仇者联盟这种强突出英雄主义的电影你都信？ 4\n",
      "是的[打call] 5\n",
      "回复 @番茄紅了台湾 : [打call] 5\n",
      "喷酒精真实[doge] 4\n",
      "今夕是何年？ 5\n",
      "1966 4\n",
      "1840 5\n",
      "正常的隔离值得提倡 那种拿链子锁人家门不是人干的事。还有参与防疫工作的人员都清楚。有些人真不理解 隔壁楼层出现了确诊的 这个楼层的大爷大妈领着孩子不带口罩就在楼下看热闹 你提醒他把 拦着他不要让他出来 他还翻着白眼看你  [辣眼睛] 2\n",
      "WC！b！ 4\n",
      "为什么把这些群众描写的这么自私呢 2\n",
      "具有良好的自我管理意识 4\n",
      "留给下一代的精神财富！ 2\n",
      "为生活努力着就是自私，6，毕业了没有啊小朋友？ 2\n",
      "@魔仙堡之占星魔仙 4\n",
      "比美国好莱坞特效好 4\n",
      "看ip就知道我的故事了 4\n",
      "这不得入围奥斯卡？ 4\n",
      "我武汉的，我只想说现在甚至比20年初管的还严，五天一检三天一检，隔一个月蹦出来几个阳的[热] 2\n",
      "大哥 咱不是活在光之国 人要吃饭的 不是奥特曼[大哭] 你看我地址 就知道我的故事了 4\n",
      "@voienerd @雀鳝天下gx 4\n",
      "我只感谢我自己，没被饿死我真顽强 2\n",
      "一个阳性，让整个商场都寄[妙啊] 2\n",
      "医务人员也是打工人 他们还有钱拿 还收获了名誉  普通人呢 没关起来之前也在为社会做贡献 好好活着  医务人员也就那样 2\n",
      "三年工作换了好多个工作  钱也没存到 2\n",
      "看ip就知道我的事情了[星星眼] 4\n",
      "哪个演员拍这个，一辈子不看他演过的戏[OK][OK][OK][OK][OK][OK][OK][OK][OK][OK][OK] 4\n",
      "夏洛特那班人马 4\n",
      "真好意思拍 4\n",
      "看ip，就知道了 4\n",
      "那《底陷》的演员怎么说[笑哭] 4\n",
      "最反感的bgm，没有之一[微笑] 5\n",
      "回复 @-康桑哈密达- :看我的，IP依我看我觉得有些阳性，可能真的是故意的 2\n",
      "看ip就知道我的故事了 4\n",
      "@梦泪猴子大王66 4\n",
      "这类电影真的够够的了！[捂脸] 4\n",
      "这是什么剧 4\n",
      "[笑哭] 4\n",
      "[猫雷Nyaru_汗] 5\n",
      "如果没有疫情，我想我的青春可能会是另一种样子。但愿疫情早日结束，再不结束感觉考研就要比高考卷了[大哭] 2\n",
      "[永雏塔菲_嘲笑] 4\n",
      "以前:喔噢喔\r\n",
      "现在:6 5\n",
      "是的 5\n",
      "河北滦南县？ 3\n",
      "我在你们没见过在门口钉一根铁棍的那种 2\n",
      "放心，我一定狠狠记住[呲牙] 4\n",
      "https://b23.tv/BV1kb4y1n7WH 4\n",
      "幼鹅园 3\n",
      "回复 @iPhone14promaxQ :希望你和你家人老人真的被感染的时候能说出来“无所谓” 2\n",
      "22年都快过去了还有人对隔离有这么大意见[疑惑] 2\n",
      "回复 @幺幺小丑 :上高中还是上大学 珍惜父母劳动成果吧 2\n",
      "直接送隔离点。 2\n",
      "伟大[奋斗] 4\n",
      "丑国才多少年的历史啊 3\n",
      "那些逆反心重的还需要把水给停了才行 2\n",
      "我妈也被骗过，一个五十 2\n",
      "你太美丽了。[打call][打call][打call] 5\n",
      "是锁老实人。 4\n",
      "22年了来看看 4\n",
      "外国还有人？ 4\n",
      "你查查新疆伊犁，看看他们怎么说的 2\n",
      "20年和现在是一个强度么，完全不应该，没有掀桌子的能力对俩老百姓下手算什么意思 2\n",
      "教室上线上课，6爆了 2\n",
      "俄罗斯没有老人小孩吗 2\n",
      "兄弟快出去吧，我本来办签证缺被封家里了，等签证下来马上走 2\n",
      "里面视频最后有个小短腿护士，腿太短导致防护服裤子好多褶子，有点可爱[呲牙] 2\n",
      "一个个嘴硬的只知道说现在很艰难，却故意忽略了放开了连艰难日子都不如[吃瓜]不会真有人觉得放开了就会很好过吧？14亿x0.01％都是14万了，这还没算其他病症呢，死亡率能降到这个数以下吗？顺便就算真的比这个还少有几个人愿意去赌那个人不是自己或者身边的人？这还没算后遗症呢[吃瓜] 2\n",
      "你确定3K？ 4\n",
      "心痛，当妈的看不得这个 2\n",
      "UP主很多言论都是“混账逻辑”。古人都知道：不吃东西就不会被噎死，不喝水就不会被呛死，那是不是都让民众不吃不渴？ 2\n",
      "千言万语，赶紧防疫 2\n",
      "千言万语，赶紧防疫 2\n",
      "人定胜天[打call] 4\n",
      "[崩坏3_路过][崩坏3_路过][崩坏3_路过] 4\n",
      "[脱单doge][脱单doge][脱单doge] 5\n",
      "感谢up[大哭] 5\n",
      "感谢🙏 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "[doge] 5\n",
      "[大哭] 5\n",
      "东北人？ 4\n",
      "一声“我的娃娃没了”...唉 2\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "[保佑] 5\n",
      "[KizunaAI _天才天才] 5\n",
      "(ー_ー)!! 4\n",
      "[奥比岛_喜欢][奥比岛_喜欢][奥比岛_喜欢] 4\n",
      "6 5\n",
      "[呲牙] 5\n",
      "劳动人民最伟大 4\n",
      "我见到拾荒者并不能给予什么实质上的帮助……这位志愿者做得好 2\n",
      "农民工，也就是他本来不是流浪汉 2\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "我在那里四年多，只见过喜乐安康，冬天会有醉鬼，乡下有人骑马唱歌，现在像这样了 3\n",
      "网易新闻，yyds 4\n",
      "6 5\n",
      "@新奥尔良烤鸡腿堡 @原始玉米 @fenixman 4\n",
      "[嘟嘟]网易你小子行 5\n",
      "人志愿者是作为个人去送的 2\n",
      "6，我在江门，这几天遇到了挺多流浪汉的，除了捡东西吃，能睡的地方都没有，昨天我就见到个在别人神台上睡着的 2\n",
      "难兄难弟[笑哭] 4\n",
      "因为这是新闻工作者的义务和责任，让社会看清真相 2\n",
      "自导自演 4\n",
      "追溯检测阳性患者。54号考生，你的语文该好好学学。 2\n",
      "都是一堆小孩儿 2\n",
      "[呲牙] 5\n",
      "6 5\n",
      "这才是农村打工人真实的情况， 2\n",
      "志愿者每天补助多少？我也想去做 2\n",
      "999 3\n",
      "这个好像反转了，爸爸叫救护车说妻子腿受伤，没说孩子。后来救护车打他电话也不接，去给孩子念经去了 2\n",
      "电子门磁，绑定包保干部和网格员的手机，出去就短信提示，然后电话回访劝其回家。主要是检查发现太多居家隔离的偷偷跑出去 2\n",
      "除为孩子感到痛心之外，这事拿国外去又是一波政治宣传洗脑，就是有人搞不明白，规定是死的人是活的，你再顾全大局也得懂得尊重生命 2\n",
      "扶弟魔的责任。乱生太多人口了 2\n",
      "救助那么多公职人员，但凡有个人有责任心，也不会成这样。希望政府严肃处理。 2\n",
      "勇敢的人 4\n",
      "多数人不会通过别人的疾苦，看到自己可能的灾难，只会通过别人的疾苦庆幸自己已有的幸福。终将有一天，会用痛苦的方式来领悟，但若大家都一样，又释然了。这便是多数人的一生。 2\n",
      "6 ，（） 4\n",
      "[笑哭] 4\n",
      "问问大学生就知道了，甭管当地有没有疫情，有些大学都一直封校且只封学生和外卖。然后食堂小卖部疯狂涨价，学校小吃街直接被封。这种学校不在少数 2\n",
      "已阅 3\n",
      "家长占主要责任 2\n",
      "[Cat2_Inbox!]这个小盒就是我永远的家 5\n",
      "精神分裂还是需要重视的 2\n",
      "漂亮话+激昂的音乐=答辩 2\n",
      "[呲牙] 5\n",
      "我想回新疆的家可以不？我兄弟中秋要结婚。 2\n",
      "那是学校管理不太行吧，我们学校不但没涨价，食堂还有优惠 2\n",
      "内蒙古和我 陕甘宁新藏 有什么关系呢？ 2\n",
      "回复 @宁静之夜哈 :每个学校的防控好像都不一样吧，最近这边有疫情了食堂也没涨价，从开始到现在一直也没涨，好像就有个小卖店可乐一瓶涨到3.5了，别的有的卖店还卖2.5呢，也没啥太大影响，但确实没发出去，校外外卖之前有，现在也没法定了[难过]总体而言还算可以接受吧，变化不大 2\n",
      "学校除了本科生 其他随便进出 2\n",
      "比如南航，学生没事，反而是四十个老师组团旅游成密接了[妙啊] 2\n",
      "6 5\n",
      "你是懂答辩的 2\n",
      "你是懂答辩的 2\n",
      "但凡新疆能听进去我也就不会3个月了还回不了家 2\n",
      "我这整个十月没上满一周班[大哭] 2\n",
      "答辩糊脸 2\n",
      "看不太清楚 4\n",
      "7 5\n",
      "e 5\n",
      "你确定这些居委会的工作人员进的了研究室么[喜极而泣] 2\n",
      "精神分裂？ 4\n",
      "谢谢up,孩子剪作业太需要了 2\n",
      "[呲牙] 5\n",
      "哦😲 3\n",
      "哦，6 5\n",
      "[呆][呆] 4\n",
      "看啥呀？[吃瓜] 4\n",
      "依托答辩 2\n",
      "回复 @晚枫沐雪 :ip 3\n",
      "[哦呼] 3\n",
      "haha 4\n",
      "看我 4\n",
      "你是懂答辩的 2\n",
      "这下知道物资医疗的钱去哪了[呲牙] 2\n",
      "小时候我爸就去城里打工，一年回次家，有时候还拿不回钱，每次回来爸爸就说再也不去打工了，过了年就又得走。可能是因为我爸也是农民工的原因，看到这样的视频心就疼，就想大哭 2\n",
      "？没人 4\n",
      "up不要传谣哦，我在当地已经有人已经因为“传谣”被拘留或通报了，当然这只是“谣言之一” 2\n",
      "我一个河南人对自己的老家真的挺失望的，这一年出多少次问题了，现在在外省上大学，要不是过年打死不想回老家 2\n",
      "有良好的自我管理意识 2\n",
      "多自豪啊[抠鼻] 5\n",
      "我来按时间排序啦🤣 4\n",
      "紧急避险应该是 2\n",
      "基层志愿者确实挺好的，都来自普通人 2\n",
      "鄂尔多斯多少人？有矛盾的地方又多少人？ 2\n",
      "买奶粉事件是个例子，后来办的还可以 2\n",
      "[调皮][调皮][调皮][调皮][调皮] 4\n",
      "[星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼][星星眼] 4\n",
      "我家对门就有 3\n",
      "我就想问下一个有可能是阳性人员说自己快死了要去医院。但是防疫人员却说要他穿大白然后等专车在带到医院去。但是那个人不同意要马上去然后就冲卡跑出去了。如果因为这件事导致其他人被感染了。这件事算谁的责任[doge] 2\n",
      "出新疆真的需要用出疆证？ 2\n",
      "这样算1次才500，我不是很了解那里的行情，但这也太便宜了吧[藏狐] 3\n",
      "出疆证？我还以为是暂住证呐[呲牙] 2\n",
      "大部分都找不到了 4\n",
      "回复 @xzmeria : 有个阳性人员说自己快死了要去医院，但是防疫人员却说要他穿大白然后等专车在带到医院去，那个人不同意要马上去然后就冲卡跑出去了，结果导致更多人被感染了，这个责任怎么算？ 2\n",
      "我也不好说毕竟我大学生现在在察县隔离点[吐]，隔离餐补助80一天是真的贪爽了 2\n",
      "懂了，冒充，就是说有能办的，只不过他是假的[思考] 2\n",
      "暂住证？梁鸣证！ 2\n",
      "我们隔离点也80，早饭就粉粉泡的豆浆，半根玉米，一个特别特别特别小还特别硬的小蛋糕，我特么吃点啥不能凑够这点钱，我吃你这个。 2\n",
      "明明新增没多少，为什么都隔离三个多月了。父母家里棉花至今没拾，喀什都这么恼火。 2\n",
      "冒充个屁呀！人家都说了，是他哥们能办，我们是聋子?问的是啥？你答的是什么？ 2\n",
      "那咋办，先都关起来集体隔离，再不允许任何人，物入境，各种活动大展不允许开[doge]大家都喝西北风吧哈哈[笑哭] 2\n",
      "老师：这道题我强调了无数次，讲了无数次了吧   学生：？ 2\n",
      "我爸就在新疆，新疆封三个月了，没办法回来，只能半出疆证明，但是这个至少得7-30天的审核，我爸到现在都没有办出来，没办法回家 2\n",
      "历史反复的演奏，压着不同的韵脚。 5\n",
      "哪个发达国家不行了？印度死的人不必任何一个发达国家少[doge] 2\n",
      "好家伙滦南林海酒店 3\n",
      "说的很好 4\n",
      "医院检查有急性问题，患者就没责任。生命权是第一。不因为客观条件变化而变化。赋予抗疫再多的意义都不会。没搞明白这一点，永远不会理解什么是法治 2\n",
      "[呲牙][呲牙]封校多久，头发多长 2\n",
      "这些人要以袭警，袭击公家公职人员威胁你 2\n",
      "说得很好，执行很难。很多区域的人流动性、串门的特别多，你无法阻止的速度串门。 2\n",
      "翻译： 4\n",
      "原来这就是申请不下来的原因😓 2\n",
      "前段时间和田地区一个服务了一个多月的志愿者赚了很多黑钱，后面也出来说人家是冒充的志愿者[doge] 2\n",
      "想起来电影里上山下乡的女青年返城的情况了，好像啊 2\n",
      ":-( 4\n",
      "天天考试，校长说班主任请假条可以出去，班主任说你考试不及格出什么出，明天考试再说，但已经几天不考试了，不开假条，去大门口保安说你没假条，不能出 2\n",
      "[doge] 5\n",
      "多地县是哪里？ 4\n",
      "回复 @我还是充钱那个少年qwq :开玩笑，三个月家门都不让出，憋疯了[难过] 2\n",
      "跟以前青年下乡要回城一个路数，嘿嘿嘿 2\n",
      "什么时候取消  地方街道 2\n",
      "我朋友人在乌鲁木齐想回石河子都回不来 2\n",
      "他说他兄弟是[doge] 4\n",
      "新疆适合旅游，但不适合生活 2\n",
      "还旅游，你要不要试试。一周假期给你变几个月假期。 2\n",
      "我只想知道到底有没有出疆证这个东西，男子是不是冒充的我其实并不关心[笑哭] 2\n",
      "挺好的，至少还有人能办 2\n",
      "有 5\n",
      "多少天无新增，前两天的病例肯定会造成高风险地区，随着流调的深入新增高风险地区也是有可能的 2\n",
      "我哭死，新疆的新闻热度终于要起来了吗？ 2\n",
      "一定有人可以办 这没啥惊讶的 2\n",
      "女青年下乡回城市 2\n",
      "回复 @小张同学zzZ- :为啥我在这没被关三个月，前面9月多我都去小区外面吃烤串了🤔 2\n",
      "《冒充》 4\n",
      "拘留还是刑事拘留[思考] 2\n",
      "为什么最近传染病专家，公共卫生专家很少出来发言？ 2\n",
      "想起某个时期上大学也是陪睡[辣眼睛][辣眼睛][辣眼睛]可见温老师说的真对啊 2\n",
      "[热词系列_燃起来了] 5\n",
      "回复 @已摆烂__ :听了，毫不奇怪，这一个月我是被上课了，现在还在酒店隔离呢。 2\n",
      "报案的我觉得要进工读学校了 2\n",
      "“绿卡” 2\n",
      "鄂尔多斯防疫工作真的是这样，你自己搜原视频，昨天我刚看过。评论区说当地领导还是伦敦政经法学专业毕业的。 2\n",
      "行政的，通报写了，希望下次看得到刑拘的 2\n",
      "出疆证? 2\n",
      "希望国家依法处置这些人 2\n",
      "[脱单doge][脱单doge][脱单doge] 5\n",
      "轻伤以下不入刑 2\n",
      "去新疆要绿卡嘛 2\n",
      "就算是学霸 让他不吃不喝连续考个三天三夜，他也撑不住了吧～ 2\n",
      "给你点个赞，做头发的拍的一部电影，是真的震撼 4\n",
      "去新疆要签证么？ 2\n",
      "@中国青年报 4\n",
      "因紧急避险造成他人敢感染也是要承担责任的。 2\n",
      "@Mars楽 5\n",
      "紧急避险的前提是不危害他人生命权，视频中说的情况应该不是无罪，可能会是从轻或减轻，看造成的后果。如果传染致人死亡，只能是减轻，陈翔有一期专门讲的紧急避险的原则，可以学习下，因为维护自己的生命而导致他人生命受威胁不算紧急避险的范畴 2\n",
      "致敬最可爱的人们[热词系列_知识增加] 5\n",
      "来龙去脉介绍一下呀 4\n",
      "等后续，不予评价 4\n",
      "现在大白志愿者不在少数，还有外包出去的，鱼龙混杂 2\n",
      "现在大白志愿者不在少数，还有外包出去的，鱼龙混杂 2\n",
      "志愿者不是公职人员啊大哥，你愿意去你也可以报名当志愿者。我觉得楼上说的挺对的，八成是觉得穿了个防护服有点权力就开始了 2\n",
      "志愿者不是公职人员啊大哥，你愿意去你也可以报名当志愿者。我觉得楼上说的挺对的，八成是觉得穿了个防护服有点权力就开始了 2\n",
      "穿防护服可不一定是医务人员 2\n",
      "美国民众和上层精英接受的教育就不同 2\n",
      "[doge] 5\n",
      "哈哈哈，没有高消费，你知道静默地区的白菜萝卜多少钱吗？ 3\n",
      "回复 @子攸星 :卖了八千多张，你说呢 5\n",
      "要 4\n",
      "高尚的是人，而不是职业。[OK] 4\n",
      "gai溜子 4\n",
      "千万要查明真相，我也见识过插队被防疫人员制止开始辱骂推防疫人员。[藏狐] 2\n",
      "千万要查明真相，我也见识过插队被防疫人员制止开始辱骂推防疫人员。[藏狐] 2\n",
      "那我想问他们会把精英们关进厕所，又或者因为他没有证明而拒绝医疗救助吗？[吃瓜] 2\n",
      "完了 我就是防疫人员  我感觉我这3年的努力都白费了    心凉了 2\n",
      "哪有那么多闲时间的医务人员，都是志愿者和临时药店拉过来的罢了。 2\n",
      "哪有那么多闲时间的医务人员，都是志愿者和临时药店拉过来的罢了。 2\n",
      "@JONDOE298 5\n",
      "大师我悟了[热词系列_知识增加] 5\n",
      "没那么多医务人员，医务人员也没那闲心，很多都是社区招募的 2\n",
      "其实穿防护服的不一定是医护人员，可能是保安 2\n",
      "美国也发居家隔离过，又没人听，民众自己选择不听，跟人家说没说有啥关系 2\n",
      "记得疫情初始，新西兰豪宅脱销。美国富人大买特买。 2\n",
      "刚从防疫人员围殴居民过来，什么样的人都有 2\n",
      "有一种东西叫志愿者，因为防疫工作太多，很多地方都会招志愿者，条件很宽松，几乎是愿意干过的就用，所以看到穿防护服的也不一定是医生。指不定就是普通防疫人员 2\n",
      "有一种东西叫志愿者，因为防疫工作太多，很多地方都会招志愿者，条件很宽松，几乎是愿意干过的就用，所以看到穿防护服的也不一定是医生。指不定就是普通防疫人员 2\n",
      "美国我不知道 反正德国诊所没阴性证明你进不去 2\n",
      "市区还是？ 3\n",
      "好诗好诗 5\n",
      "这种行为和黑社会有什么区别，必须依法严惩打人者。 2\n",
      "聪明 4\n",
      "谁家没有老人和小孩，后遗症非常严重，一定要严防严控[口罩] 2\n",
      "巧了 我也见过[微笑] 4\n",
      "巧了 我也见过[微笑] 4\n",
      "临沂这种情况，就我知道的就2起 2\n",
      "我记得他没有说自己是什么防疫人员，而且有没有种可能，他是真的能办，而且给人办过 2\n",
      "所以你们那只要有完整的前因后果就可以随便殴打他人？ 2\n",
      "那些人以为自己是高级素质型网友，实则是文盲，公安经过调查都发通报了，人都进去了，口供都录完了，要蹲15天了，他们看不懂对错，真的笑死。还在这不予评论，公安的通报需要你评论？公安只是告诉你结果 2\n",
      "2020.09.22[doge][doge]时光穿梭 4\n",
      "我们市里最大的工厂开除了20000人 全是小青年[笑哭] 2\n",
      "怎么说呢？我们这边总会有些不自觉的人，都说了外地返乡人员要主动报备，又不是让你去什么地方报备只是一个电话就能解决的事，就是有人偷偷摸摸的。 2\n",
      "精英教育，精英医疗 2\n",
      "[支持][支持][支持][支持][支持] 5\n",
      "什么选择权利？\r\n",
      "如果是，就是病了医不起、或者直接寄了、或者在白宫门口给你插旗和敲丧钟的权利的话，不好意思我可不需要这种权利 2\n",
      "只见过因为学校出现几例校长就被免职的，没见过蹭蹭伽马而受处罚的，所以他们很明白该怎么做。 2\n",
      "医护人员很少这样，基本上是社会招的 2\n",
      "80-160一天雇的，我们这儿的劳务派遣公司经常会发这种招聘信息。 2\n",
      "80-160一天雇的，我们这儿的劳务派遣公司经常会发这种招聘信息。 2\n",
      "不经同意的地方不能紧急避险？ 2\n",
      "这时候其他国家ip.[doge]就看不到了 4\n",
      "怎么美国权贵这么怕小感冒？ 他们没得过病？连个小小的“感冒”有必要这样？ 2\n",
      "山东临沂自己搜 3\n",
      "持械殴打他人仅仅行拘？ 2\n",
      "[热词系列_锤]BV11e411F7yL 5\n",
      "回复 @Wal-Zhh :你这话不多见了，之前看另一个国外IP大团建都是得了几次，小感冒，室友新冠好了自己发烧还没好的 2\n",
      "这种不是防疫人员，我这边有工作人员志愿者也穿这个衣服 2\n",
      "不要听他怎么说.jpg 4\n",
      "[吃瓜][吃瓜][吃瓜] 4\n",
      "回复 @别扶我啊 :真的有离疆证明和手续的，还有通行证 2\n",
      "河山硕：6 4\n",
      "别编了。。。 4\n",
      "不需要知道全貌，你这样聚众打人不管什么理由都说不过去 2\n",
      "不需要知道全貌，你这样聚众打人不管什么理由都说不过去 2\n",
      "学生才会希望清零吧，反正花父母的钱 2\n",
      "意思就是只有你被关而错过大事，是运气不好 2\n",
      "潍坊？歌尔？ 5\n",
      "就像上学的时候没用的老师对学生没办法，就把管理职位给那些二流子，让二流子管听话的学生，这就是收编了我们这里就没有不稳定因素了[脱单doge] 2\n",
      "这个还不够刑拘啊？ 2\n",
      "[doge] 5\n",
      "[支持] 5\n",
      "直接包饺砸 2\n",
      "我感觉非常正确，不要再给基层出难题了 2\n",
      "6 5\n",
      "我是工大的[微笑] 2\n",
      "👍 4\n",
      "如果到了美国就能生活很好。那么美国就没有穷人了，凭什么一个外国人过来就能比美国本地人过的更好。有技术吗？有技能吗？那美国赚钱美国花。 2\n",
      "你为什么总拣这些报到\r\n",
      "你用意何在，居心何在 2\n",
      "回复 @海顿A :我刚给你发的评论被吞了，我就简单点说，有些旅游的被关在酒店里面 2\n",
      "回复 @徐家有子曰凤年 :在网上搜判案例子?推荐一个小程序 元典智库 十条有九条不属于紧急避险 2\n",
      "回复 @海顿A :酒店隔离一天三百多 2\n",
      "确实不如，美国太自由了，生的自由，死的随机 2\n",
      "什么解构大师 4\n",
      "是的美国精英宣传性开放是对穷人，不要信快乐教育，精英教育比我们还要卷。 2\n",
      "我们这大白不一定都是医护人员，更多的是社区的和志愿者，参差不齐，态度极其恶劣。 2\n",
      "回复 @独秀峰橘子树 :日本：别瞎说，那是主人给脸我，才肯接受的贡品[吃瓜][吃瓜][吃瓜] 2\n",
      "这段视频被剪辑过。去掉的部分是问小女孩还回来吗 回来以后陪哥四次。 2\n",
      "回复 @爱吃萝卜头101 :信基督教好多州堕胎犯法怎么看都很保守 2\n",
      "实际上，还有一种叫做半强制志愿者。 2\n",
      "实际上，还有一种叫做半强制志愿者。 2\n",
      "我家邻居的孩子在英国读书，已经感染了三次了。。。。。每次跟她妈妈视频都叮嘱出去戴口罩 2\n",
      "已收藏 5\n",
      ".jpg 5\n",
      "搜狐[笑哭] 4\n",
      "不予评价你评价个得儿 4\n",
      "哦，看见图才知道是美国 4\n",
      "有补贴的，严的时候一天一千多 2\n",
      "有补贴的，严的时候一天一千多 2\n",
      "你还没毕业吧，说话真轻松 2\n",
      "真实 4\n",
      "上帝视角的差不多就得了，懂哥 4\n",
      "是防疫人员被拘了还是居民被拘了？ 2\n",
      "[大笑][大笑] 4\n",
      "这是概率学的问题，广州目前的病例，确实绝大多数是无症状和轻症。 2\n",
      "巾帼英雄[打call][打call][打call] 4\n",
      "我以前也碰见这么个大爷， 平时是收破烂的，疫情期间没有收入，我们每天给他匀一点盒饭给了点纸壳啥的，然后他每天帮我们收拾一下门口垃圾桶的卫生。 2\n",
      "临沂就没因为好事出名过 2\n",
      "[吃瓜] 4\n",
      "[吃瓜] 4\n",
      "好的 3\n",
      "[吃瓜] 4\n",
      "@河北工程大学 [doge][doge][doge] 2\n",
      "人家确实没放假 只是让你回家上网课而已啦 2\n",
      "请问成年人被打哭的概率高吗 2\n",
      "仔细看看，网课也不行 2\n",
      "回复 @端木尘 :对啊  但是俺朋友是实实在在的回家上网课了啊 2\n",
      "那些都是囚犯，那么说只是为了减刑 2\n",
      "转运两次一学期住过三种宿舍的我，[吃瓜]，不过还好一直在学校里面相对安全 2\n",
      "通知是通知，看怎么落实了 2\n",
      "那些老师赢嘛，随便打发一下网课，工资就到手。 2\n",
      "今天深圳部分小学 又 双 叒 停课啦。 2\n",
      "初二开始到现在快高三了我™️就没开过学 2\n",
      "大哥，我们上网课更累好吗，对着屏幕一个劲的讲，同学们不同意开摄像头所以什么也看不到，要更好地设计教案，上传各种论文材料，相比较我更愿意线下[吃瓜] 2\n",
      "上网课更累，真的[笑哭] 2\n",
      "高中内宿生禁止出校门外宿生和老师随意流动合理吗 2\n",
      "虽然我不是高中生了，但我读过5年高中，考过三次高考，我个人觉得在家真要听网课，重高的我不说了，普高的还不如去找那种专门上网课的老师。b站上那些一数，陶然，杨佳奇那些 2\n",
      "上网课的区别是，你可以不听，但老师必须讲。线下是可以不听，也可以不讲，但效率和效果都是更好的。 2\n",
      "@济宁学院 请睁大眼睛好好看看，md从今年寒假回来，除了暑假就基本没出过学校啊 2\n",
      "可我学校是走读寄宿混合制，只要疫情不稳定，没人敢冒险让我们回去上学，走读生接触的人没办法控制 2\n",
      "有很多是小区志愿者，还有报名去拿工资的，所以说不能光看职业分人好坏。 2\n",
      "@哈尔滨工程大学  @东北农业大学  @东北林业大学 @黑龙江大学，下学期开学记好了，别封咯 2\n",
      "落实很快，我知道的就有甘肃，北京，广东和浙江，密接的密接取消隔离，高风险区只划楼栋，学校不停课[doge] 2\n",
      "6 5\n",
      "✓不再判定次密接\r\n",
      "✓取消中风险区设置\r\n",
      "✓取消入境航班熔断\r\n",
      "✓一般不按行政区域开展全员核酸检测\r\n",
      "✓高风险区外溢人员不再集中隔离，调整为“7天居家隔离”\r\n",
      "✓入境人员调整为“5天集中隔离+3天居家隔离” 2\n",
      "不再判定次密接\r\n",
      "取消中风险区设置\r\n",
      "取消入境航班熔断\r\n",
      "一般不按行政区域开展全员核酸检测\r\n",
      "高风险区外溢人员不再集中隔离，调整为“7天居家隔离”\r\n",
      "✓入境人员调整为“5天集中隔离+3天居家隔离” 2\n",
      "回复 @哈比路亚来啦 :但是我们学校旁边一有疫情就封校每次都在周末[大哭] 2\n",
      "说实话我读高中的时候，那个时候就算没疫情住宿生除了放假也不能出校[doge] 2\n",
      "我们学校，不上课不放假。就封在学校里待着[doge] 2\n",
      "这不正常？我高中没疫情基本上也这样 2\n",
      "可能对于大学生和高三学生确实是个好事\r\n",
      "但对我们学校来说……学校被各种风险地区包围还要求线下？？？[热] 2\n",
      "回复 @SteriousDreamer :他的意思可能是疫情封校但不住宿的老师和学生能自由出校？ 2\n",
      "所以我们十一放假完了开始上网课，现在还没开学，以前这块没事，但是前几天刚出了两例，会开学吗 2\n",
      "我觉得你还没成年，好好学习吧小朋友，将来考个公务员 2\n",
      "作文水平越来越高了 2\n",
      "高中同学认全了吗[喜极而泣] 4\n",
      "6 5\n",
      "又是一篇小作文[微笑]真正做到了大家不就懂了，还搞个视频 2\n",
      "假期不让回家怎么说？[无语] 2\n",
      "哦 5\n",
      "我们关注的是入境隔离时间。 2\n",
      "好 3\n",
      "好！ 3\n",
      "[星瞳_敬礼][星瞳_敬礼][星瞳_敬礼] 5\n",
      "5天 3\n",
      "好！ 3\n",
      "别误解，这个是指阴性的隔离时间，阳性不是5+3 2\n",
      "我大学就没怎么上过[大哭][大哭][大哭] 2\n",
      "我家附近就是高中，10分钟步行距离就有小学初中[辣眼睛][辣眼睛][辣眼睛]学区房的痛 2\n",
      "我们这刚接到一名日本回来，在大连隔离5天，回到哈尔滨的人员[妙啊] 2\n",
      "如果能好好吃饭谁愿意翻垃圾桶呢 2\n",
      "支持！要严格遵守防疫规定[打call] 2\n",
      "譬如人染沉疴,当先用糜粥以饮之,和药以服之；待其腑脏调和,形体渐安,然后用肉食以补之,猛药以治之：则病根尽去,人得全生也.若不待气脉和缓,便投以猛药厚味,欲求安保,诚为难矣。 2\n",
      "严检都这样了，放松那真的。。。 2\n",
      "[支持] 5\n",
      "大家要注意，防疫政策没有更改个人呼吸防护和卫生要求。记得严格遵守。 2\n",
      "能不能正确落实到各地 2\n",
      "等大批小作文和无主手机，哦，还有日记 2\n",
      "[大哭][大哭][大哭] 5\n",
      "中国一项措施公布，全球都要抖一下 2\n",
      "有规定就拿文件出来，让我片看看哪个单位嘀[呲牙] 2\n",
      "你家没有老人小孩？ 2\n",
      "该严的地方要严 该松的地方要松。 2\n",
      "次密接是有感染可能的，只不过对执行能力和经济承受能力都有要求 2\n",
      "肯定有文件，所有公共场所基本都这样，都有划线 2\n",
      "我在的高中50天没放假了，学生被困在学校出不来，我受不住请假回家了，班主任说等通知返校。外面小区封了，学校学生疯了！救救孩子！[灵魂出窍] 2\n",
      "[拥抱][拥抱] 5\n",
      "[点赞] 5\n",
      "我爱你 5\n",
      "我不会写小作文，我有点怕怕的。 2\n",
      "没钱怎么吃饭 2\n",
      "主要还是入境，这个应该加强监管 2\n",
      "老实说，除了入境航班有问题外，其他措施都是优化，尤其是次密接解除判定，极大的解放了相当一部分资源。 2\n",
      "蜥蜴断尾，很常见了。[嘘声] 4\n",
      "[星星眼][星星眼][星星眼] 4\n",
      "你的政治思维有待提高 2\n",
      "回复 @柴柴同学有欧气 :教教我怎么毕的业[大哭] 2\n",
      "回复 @异教徙 :不按照规定就被关门，按照规定就挨骂，综合考虑下挨骂比关门更加能被接受，两全其害取其轻 2\n",
      "大一开学就没出过学校，明明走读生和老师都可以进出的[辣眼睛] 2\n",
      "哦 5\n",
      "就是防疫要求阿，有什么问题吗？ 2\n",
      "笑了，锦州这开学家长在外面挨浇，事后发了个短信道了个歉 2\n",
      "不全是这样，发生本土疫情的有要求限流，必须低于百分之75或者百分之50人流量那种，平时接待10个有疫情就只能接待5个以下的情况，超了就不可以进去，得等办完出来才能继续放人进去 2\n",
      "这题我会，出发点是好的。但是在实际行动中，由于部分工作人员的迫切心情导致出现了这种那种的问题，面对上述情况，我们应该赔礼道歉[星星眼] 2\n",
      "6 5\n",
      "哥们 要开学了给我说一声 我这边也是网课 开学好做个心理准备[辣眼睛] 2\n",
      "[打call] 5\n",
      "支持保安，万一感染谁负责，丢工作谁负责。 2\n",
      "回复 @九道安 :你政治不考90我不是很认可[doge] 2\n",
      "我家这里昨天增加了15个，听说还有两个孩子一个1岁，一个4岁[难过] 2\n",
      "来大学一年出门次数屈指可数[呲牙][呲牙] 2\n",
      "我大一到大三几乎没出过门 2\n",
      "[喜极而泣][喜极而泣] 5\n",
      "6 5\n",
      "6 5\n",
      "好 3\n",
      "谨遵神谕[三星堆] 3\n",
      "6 5\n",
      "欢迎来这边旅游 3\n",
      "6 5\n",
      "好 3\n",
      "6 5\n",
      "6 5\n",
      "石家庄有什么旅游景点 3\n",
      "正定古城 3\n",
      "6 5\n",
      "有链接没 3\n",
      "6 5\n",
      "6 5\n",
      "老人和小孩怎么办？ 2\n",
      "去学校？搞笑，我一个大学生12月就考末了，马上就12月了，难道你还让我去学校？ 2\n",
      "医疗资源紧张 2\n",
      "6 5\n",
      "回复 @棌棌棌矶 :西北人民一定去 3\n",
      "回复 @萧望之丶 :正定古城是最拉的 3\n",
      "[妙啊] 5\n",
      "规定这些规定的有问题 2\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "假支持：老幼警告\r\n",
      "真支持：我现在就去那旅游 2\n",
      "请你来河北旅游 3\n",
      "欢迎各位朋友来石家庄旅游[doge] 3\n",
      "已故的人？ 4\n",
      "好 3\n",
      "6 5\n",
      "所以扣的分加上了吗？ 2\n",
      "这样也应该被允许，这样出事事责任并不在防疫人员，防疫人员不负责专业鉴定。出现一例阻碍自救导致死亡的情况带来的社会影响力比这个要恶劣的多。就像法律并不能阻止你去犯罪，执意犯罪是约束不了的，不用考虑这些。 2\n",
      "6 5\n",
      "西柏坡[呲牙] 5\n",
      "6 5\n",
      "6 5\n",
      "你错了，我们学校也是混合制，现在让高三走读生临时住宿和住宿生一起封控在学校 2\n",
      "6 5\n",
      "[大笑] 4\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "7 5\n",
      "来一来[tv_doge] 4\n",
      "6 5\n",
      "6 5\n",
      "[呲牙] 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "想必待在学校宿舍里吃恶心的隔离餐上网课，没澡洗没水喝，还要闻二比室友的二手烟，我宁愿回家捏 2\n",
      "6 5\n",
      "我悟了，我原来生在罗马[doge] 4\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "6 5\n",
      "迷语人 5\n",
      "你也走好[OK] 5\n",
      "有资格选择拒绝非法监禁的国家 2\n",
      "0，这是居家隔离公民的收入数字[吃瓜] 2\n",
      "6 5\n",
      "高中连续上了3个星期课了，周末都不给放假 2\n",
      "我只知道医务人员，特别是临时工。工作量更大了。钱一分没多拿。 2\n",
      "什么时候改成3天或以下回国机票应该就会便宜点了 2\n",
      "[脱单doge]肺纤维化只是最轻的后遗症，脑脱髓鞘和脑容量减少这种哪怕是无症状也躲不开。 2\n",
      "河南拔智齿 2\n",
      "[拥抱][拥抱][拥抱] 5\n",
      "典 5\n",
      "什么破学校，水都没得喝？ 2\n",
      "看情况喽，潮汕疫情开始到前段时间国庆为止都没人戴口罩（因为可以说是没被疫情影响到）直到前段时间国庆一堆人知道潮汕没疫情来这玩就才有感染（或者是其他别的原因不太确定也没有石锤的意思只是推测没说任何人） 2\n",
      "jpg 4\n",
      "2022年11月20号，lut还在上网课，学校宿舍楼，就我那栋9个确诊，可是这跟我一个到现在都还没返校的有啥关系呢 2\n",
      "住大学城…瑟瑟发抖[冷] 2\n",
      "什么破学校啊，宿舍没烟雾报警器？ 2\n",
      "让我们来问一下复读班的同学……同学你好，请问你上一年高考顺利吗？ 2\n",
      "细节向日葵花语[doge][doge] 4\n",
      "和我们导员一样，厕所洗脸都要给处分[笑哭] 2\n",
      "这种管理确实奇葩了 2\n",
      "没人管还不是最狠的，关键还有很多人和这个人的观点一样，完全没有辩证看待问题的能力，像UP说的，有些人啥也没经历过，只靠一张嘴哔哔赖赖 2\n",
      "有毒等隔离 2\n",
      "-他们是谁？\r\n",
      "-是历史 4\n",
      "怎么考上公务员的，对这种问题怎么可能回答不上来？喝咖啡摘口罩当然有可能传染，但是你等待时戴口罩可以防止你在这段时间内感染病毒。现在我不妨碍你喝咖啡，你可以不带口罩，但是在等待过程中，你明明可以做好防护，利人利己的事你却不愿意，你是什么意思呢？ 2\n",
      "你拿到咖啡了 你喝可以不带口罩 没做完你的咖啡 你在这等为什么不带 先别说传不传染的事 你不带 如果你传染给别人 或者谁有阳性传染给你呢 2\n",
      "上卫生间也不能脱👖 2\n",
      "他们真这么要求的 2\n",
      "他为什么敢和你正面论证，因为他知道对面的人不是阳性。权利是非常恐怖的，懂不懂 2\n",
      "有这时间不如取消堂食，不行就规定别坐半个小时不然都是自欺欺人 2\n",
      "他可能不知道啥叫降低传染风险 2\n",
      "让带就带上呗。管理那么严格，可能是啥中风险地区，都理解一下不行嘛。 2\n",
      "你这个最多得个及格分，应该加上该顾客应该喝咖啡的时候摘下口罩，杯口离开嘴唇的一瞬间要立马带上口罩，时间间隔不得大于0.5秒，最大程度保护自己和别人。[墨镜] 2\n",
      "等这店真进来一个阳性或者无症状，一群人被拉去做隔离的时候，我看你们这些人还叨不叨，这人沟通是有问题，但是道理是没错的，咖啡店公共场所，尽量戴口罩，减少传播风险，这有什么错，你不戴口罩，然后你等咖啡这功夫进来一个也不戴口罩的阳性，然后你gg了，你就高兴了？？ 2\n",
      "在？为什么不直接取消堂食？ 2\n",
      "这男的已经被情绪带偏了，现在讲什么道理都不好使。先安抚情绪表示理解让他冷静下来，再陈述疫情防控规定，说明戴口罩的好处，利人利己，不戴口罩的坏处以及造成坏影响需要承担的责任。最后说自己是执行公务，希望他配合工作。 2\n",
      "喝咖啡确实可能会感染，在内蒙有朋友学校封了一栋宿舍，他们路过楼下隔了还几十米都有人被感染，而且漱口吐水槽都有很大传染的可能 2\n",
      "直接取消堂食得了 2\n",
      "。？ 5\n",
      "当爱坤真好，每天都有新歌听[吃瓜][吃瓜] 5\n",
      "独自在家也能高效学习的八个技巧\r\n",
      "00:17 \r\n",
      "以前在学校还能依靠环境因素强迫自己，但特殊防疫时期面对床，电脑，手机的诱惑，要如何戒掉拖延，高效学习？\r\n",
      "\r\n",
      "方... 2\n",
      "我记得你！ 5\n",
      "明天我们就要开学了 [笑哭] 2\n",
      "多少钱？ 3\n",
      "我想问下澳门 为啥控制的那么好 2\n",
      "同意 4\n",
      "我前几天刚遇到，不过没扒垃圾桶，自己背着袋子问我求助要买馒头，说是农民来大城市找不到工作，我就给了50块钱和一瓶水，希望不要是骗子。 2\n",
      "回复 @_佑树_ :我们学校不会这样，因为没有那么多宿舍 2\n",
      "一个V应该有100以上的收入吧(贫穷限制了我的想象) 2\n",
      "我一个学生已经疯了五六个月了，你看我不已经快死了吗？ 2\n",
      "地域歧视的起点就是这么开始的 2\n",
      "我们已经在家上了将近两个月的网课了[囧][囧][囧][囧] 2\n",
      "@宇宙暴龙战士王 4\n",
      "现眼了[笑哭][笑哭] 4\n",
      "1、蓝色马甲为执勤民警\r\n",
      "2、被隔离人员违反规定擅自离开隔离房间由消防通道下楼，从酒店后门冲出\r\n",
      "3、他自称患精神病，情绪激动且双手插入衣兜。为防随身携带危险物品，民警对其搜查控制后送回隔离\r\n",
      "4、当晚其就诊，诊断为精神障碍，无身体损伤，11月4日已解除隔离 2\n",
      "[笑哭] 4\n",
      "情发完整的视频 4\n",
      "[笑哭] 4\n",
      "我学校还没放假 2\n",
      "呃。。。。 4\n",
      "omg 5\n",
      "[呆][思考] 4\n",
      "干的漂亮[打call] 4\n",
      "省流：精神病患者为买药逃离隔离点被执勤民警控制，经宁安医院诊断为精神障碍。解除隔离后民警道歉获得当事人谅解！ 2\n",
      "回复 @不爱玩游戏的方 :具体那个县就不透露了 2\n",
      "？我竟然不知道[笑哭]\r\n",
      "这疫情到底什么时候结束啊，不要影响我考试啊呜呜呜[原神_哭哭][原神_哭哭][原神_哭哭] 2\n",
      "典 5\n",
      "我爸也是农民工，我小时候过年的时候，因为老板不发工资我爸和几个工友一起去找老板要，没要回来，所以就找邻居借了几百块才置办年货 2\n",
      "@中国社会科学院大学 5\n",
      "@塞尔维亚国家馆 3\n",
      "1 5\n",
      "讲得实在，很是佩服[微笑] 4\n",
      "精神病应该直接弄一个收容所，省的出来害人 2\n",
      "可怜重庆那个孕妇的小孩 2\n",
      "好人一生平安[打call] 5\n",
      "6 5\n",
      "不用上班，上上网课，不用操心家里，打打游戏，你跟他说明天开始就正常上课了，能不慌吗？ 2\n",
      "因为没有知识是很悲哀的 2\n",
      "回复 @爱尔特璐琪_ :拿着爹妈给的生活费，不愁吃不愁穿的，你要跟他说生活费减半你看他急不急[吃瓜][吃瓜] 2\n",
      "老人小孩需要谁养 2\n",
      "我已经错过了两年的考试了，还有结婚，女朋友已经跟人跑了 2\n",
      "[脱单doge]不大力推广接种康希诺的地方官全是五十万（有没指名道姓，不要对号入座） 2\n",
      "你去一下海珠区，我就看看你能不能飞 3\n",
      "回复 @叫朕同志 :你说的再好，不如得一次试试，后遗症再大，不如当下生活困难严重 2\n",
      "每次刷到这个我都要留言，\r\n",
      "大各位什么工作？没工作的话生活费怎么来的 2\n",
      "再加一个:得过病的自愈后去入职公司不能以阳过为理由拒绝面试入职[抠鼻] 2\n",
      "医保长了 2\n",
      "这不纯纯误导吗，别的国家放了这么久都没有群免，这群免就基本形成了？真当是神仙后裔了吗 2\n",
      "你要不要配个更激昂的音乐 5\n",
      "6 5\n",
      "公司 4\n",
      "https://b23.tv/BV1MW4y1x726 4\n",
      "《冒充》 4\n",
      "[呲牙] 5\n",
      "很难想象线割在家网课都被逼疯后的创作状态[热词系列_知识增加] 2\n",
      "宁安医院不就在灵武么？ 3\n",
      "我两个月在家。怎么弄？\r\n",
      "衣食住行怎么办 2\n",
      "虽然我支持中药，但这种形式也太过了吧 2\n",
      "去宜宾上学。大学也行，从自愿找工作推出自愿是不是本意。 2\n",
      "个人卫生支出你看看今年医保上涨了多少。十月份补缴医保补了多少。 2\n",
      "刚毕业，人就傻了 2\n",
      "[doge]这年头认为汤药便宜的也是没谁了。疫情之前我们这边中医院有补助医保都去开报百分之80。结果补百分之80一份汤药还花了500块。现在没这个活动了自己算一下多少钱[笑哭] 2\n",
      "回复 @是静电 :对啊，还是给幼儿园小孩子吃，没病吃药对身体损伤还大 2\n",
      "我对象非中医类学医学院里发过中药 2\n",
      "但是不少地区防疫都会发中药[无语] 2\n",
      "[吃瓜] 4\n",
      "回复 @0龙泽苑0 :耐寒，境外通过冷藏食品输入进来的一堆 2\n",
      "非典的时候我还在南充老家村小上学，当时也出过文件建议服用中药，那时候是学校熬的吃中午饭的时候自己去打来喝免费的，学校还经常消毒消毒水的气味贼难闻。 2\n",
      "6 5\n",
      "我爸也是，不过他是工作是按年结算的，就一年工作都白忙活了，也没办法要回工资[无语] 2\n",
      "这么巧，我们这个星期天开学[笑哭] 2\n",
      "占比最小，好话都给他说了，上网课也会通过网线得感冒是吧。收入少了不讲 2\n",
      "回复 @可爱的你登登登登 :可乐，上学期自动贩卖机还卖3块呢还，这学期变3.5了 2\n",
      "“有基础疾病的另当别论”，怕的就是这句话，\r\n",
      "我国目前\r\n",
      "心血管疾病患者3.3亿\r\n",
      "慢性肝病患者4.47亿\r\n",
      "糖尿病患者1.3亿\r\n",
      "终末期肾病（包括尿毒症）超290万（2017）\r\n",
      "在透析患者例数超63万（2019）\r\n",
      "癌症患者仅一年新发病例457万例（2020）\r\n",
      "脑卒中患者2800万\r\n",
      "艾滋病患105万\r\n",
      "就这还没计算呼吸道慢性病和急性病的数量。好一个另当别论。 2\n",
      "123123 3\n",
      "我哥的牙科店经常关门，现在关门的时候我哥都去干兼职了。 2\n",
      "请大家停止对基层防疫工作者的抱怨！\r\n",
      "你出不去的门，是防疫人员回不去的家;\r\n",
      "你不想睡的觉,   是他们熬不完的夜;  你不想见到大白,   是别人日思夜想的家人。\r\n",
      "支持配合，减少抱怨，早日恢复正常生活。 2\n",
      "M2每个月都比上个月多百分之十二 2\n",
      "鉴定为考研人 2\n",
      "实事求是的说，只有携带传染病毒的才需要隔离，现在动不动就要大部分人强制居家隔离是不是可取？中国14亿人，限制人的接触是不可能的，做到科学，精准控制才对 2\n",
      "回复 @95你个27 :怎么海珠区重症多少，有死人吗 2\n",
      "从没免费过。除了那种特殊的 3\n",
      "反正我同学在日本过的挺滋润的，确诊过也没有要死要活的 2\n",
      "我们这些小地方早就开始自费了…… 2\n",
      "国民教育任重道远 2\n",
      "https://b23.tv/kCjtHhE 4\n",
      "中医不是要对症下药吗？这一种药方能适用几十上百万人？[doge] 2\n",
      "以前云南有一个 2\n",
      "很遗憾我的老家以这种形式出现在大家视野里 2\n",
      "应服尽服， 3\n",
      "赛博朋克 5\n",
      "全世界新冠患者几亿人，极个别的后遗症没有代表性。说不定他什么病都不得，照样会有那种背痛头疼长皮疹，一系列精神肉体过敏反应。就像新冠的至死率也是很低的，单纯因为新冠致死的很少很少。都是伴随有基础病，老年体弱等外观因素。 2\n",
      "自愿原则：（自己不愿意服从，原则上不允许上学） 2\n",
      "不隔离 立省100% 受够了 2\n",
      "看不见看不见，老人小孩后遗症 2\n",
      "除了落地检，其他都是4元混检，没有免费的 2\n",
      "，。。。 5\n",
      "6 5\n",
      "[笑哭]我们这叫社区疫情隐患排查 2\n",
      "基于他的传染速度和人口的流动速度，我选择自我管理和配合防控，家里有老人，我希望她长寿，我无所谓，我死了也没事，但是我不能做坏事。 2\n",
      "公职人员买单，我们这都是事业单位降薪20%不亏空。 2\n",
      "6 5\n",
      "注意最后一句 确保校园安全，只要你不自愿不够卖服用 你就违反了这最后一句。 2\n",
      "心跳骤停[doge] 4\n",
      "头像卡哇伊[藏狐] 4\n",
      "先把不戴口罩惩治好 2\n",
      "板蓝根[doge] 5\n",
      "我这免费。 3\n",
      "老胡说的话像作文 2\n",
      "看评论，知年龄[给心心] 4\n",
      "任何出门终将绳之以法 2\n",
      "EDD mounted 4\n",
      "是的 5\n",
      "我大学本科毕设都比这个有含金量[辣眼睛] 2\n",
      "到时候别人不隔离给你感染了又要骂国家。。 2\n",
      "我老家县医院都没钱买药了[微笑] 2\n",
      "时间真的是个好东西，也许人家早就看到这一层了，祝大家托福雅思考试通过 2\n",
      "现在40岁往上的农民出来真的很难找工作工地都不要了，工厂更不要，扫大街和环卫更没戏，而且现在出来大城市很多地方要隔离，直接裂开 2\n",
      "[拥抱][拥抱][拥抱] 5\n",
      "人在西安，一天一检 2\n",
      "请问自费以后还有疫情吗？ 2\n",
      "女王 4\n",
      "6 5\n",
      "时间真的是个好东西，也许人家早就看到这一层了，祝大家托福雅思考试通过 2\n",
      "强烈支持加拿大的独品合法化 2\n",
      "真实 4\n",
      "近期几各地加招医学检验学的人，甚至部分地区开始招大专[笑哭] 2\n",
      "关键是你这个自愿是不是字面意思 2\n",
      "因为社保医保都涨价了 2\n",
      "好 3\n",
      "他知道要开学了直接飚向日葵的花语 2\n",
      "理解 4\n",
      "民意需要深度调查，更要谨慎评估，目前需要做的就是认真贯彻新二十条 2\n",
      "山东落实了 2\n",
      "武汉目前免费，想问问那些收费的地方还是每天都做吗？ 2\n",
      "已三连，借用部分素材[脱单doge] 4\n",
      "6 5\n",
      "[吃瓜][吃瓜] 4\n",
      "[吃瓜] 4\n",
      "很简单，不买单，照顾好自己家人 2\n",
      "去年我这缴医保还是250，今年380 2\n",
      "我动脑子有用吗 2\n",
      "你想表达什么呢？ 5\n",
      "now? 5\n",
      "要是上班公司不要求48，那撤不撤无所谓，反正逢年过节每个地方总会冒出几个 2\n",
      "现在更重要的是担心疫情造成的医疗挤兑，造成其他基础病没办法及时救治 2\n",
      "医保一年比一年贵，md 2\n",
      "回到2002年吧[吃瓜] 4\n",
      "[偷笑] 4\n",
      "你是中医吗？这话从哪里来的 2\n",
      "依托答辩 2\n",
      "[笑哭][笑哭][笑哭] 4\n",
      "https://b23.tv/BV1eG4y157Be 4\n",
      "power的诱惑 4\n",
      "同大学生，遇到这事情怎么自保 2\n",
      "大家好，所有目光向我看齐：这是我的家乡  山西平遥 3\n",
      "前几个月去福州，也被拉去隔离。也是住宾馆，包一日三餐一分没花，还有专车接送。 2\n",
      "医保350，顶我多少次? 2\n",
      "考一建的时候有个监考老师核算异常，我给社区报备后把我安排到酒店隔离8天，这八天是真舒服啊，定时投喂，除了定时做核算想睡就睡，想干嘛就干嘛，还不用自己花钱[吃瓜] 2\n",
      "我家也是，连个暖气都没有，第一天就给我冻感冒了[辣眼睛] 2\n",
      "好！ 3\n",
      "网易打码的那些字写的是 隔离费 微信转账，这个大学生要文件和收据，都没有 2\n",
      "欧耶，中药 5\n",
      "南昌去年320 今年350  问题不大 村里报销 2\n",
      "好打脸的剧情[吃瓜] 4\n",
      "看你的ip就知道你说的是真的，我在江苏盐城隔离过。安排在酒店隔离，住宿和伙食都是免费提供。 提供的盒饭是外面25块钱标准的。还有酸奶水果 2\n",
      "我有山西的同学，他们学校人都要走完了，但是我们这边不让他回来，挺无奈的 2\n",
      "阳泉人路过 3\n",
      "我就平遥的，过两天返乡[热词系列_知识增加] 3\n",
      "江苏能挣钱的地方有很多，没必要靠为难人发财 2\n",
      "所有的大学生，就平遥需要自费 2\n",
      "后面是平遥丽泽苑酒店 3\n",
      "吕梁我五一隔离来   一天50住宿费   餐费一顿10块  还能接受 2\n",
      "幸亏高考考出山西了 2\n",
      "汝南二高高三上到寒假合理吗 2\n",
      "这里是世界级文化遗产，平遥古城，也是我的家乡，我很爱她，可她却一点也不爱我。 3\n",
      "平遥县陶源丰附近 3\n",
      "是的，太眼熟了，以前上学天天路过那里 3\n",
      "我就是平遥的，更关键的是票都买好了刚才通知我们暂缓离校了[热词系列_知识增加] 2\n",
      "丽泽苑酒店⁣ 3\n",
      "[支持] 5\n",
      "6 5\n",
      "请继续努力，这就是你们所谓关心年轻人的方法，等没有年轻人了，可千万别后悔 2\n",
      "知道为啥山西大学生基本不回乡了吧？ 2\n",
      "第一：核实上门人员身份证明，并拍照留存\r\n",
      "第二：核实核酸检测结果\r\n",
      "第三：核实初筛阳性检测报告\r\n",
      "第四：核实官方隔离通知书（要有名字，有公章）\r\n",
      "第五：核实自己是否符合方舱集中隔离的条件 2\n",
      "这是防火防盗防隔离呀[笑哭] 2\n",
      "谢谢普及知识，只是这个应该是要求“他们”主动出示，毕竟老百姓很多人不懂！ 2\n",
      "一日三餐疗法 2\n",
      "不是哇，我同学回榆次隔离没花钱啊 2\n",
      "我说 ：我是学生没有收入\r\n",
      "工作人员：找你父母要  今年这形势大人也没收入\r\n",
      "我…….. 2\n",
      "一样的，三天爱心酒店自费 3\n",
      "隔离是免费的吗？？？？我一直都是自费隔离，一天两百 2\n",
      "6 5\n",
      "可是我在家的话。。。我家人咋办呢 2\n",
      "我从你隔壁省考去山西了[大哭]，现在想回家了[大哭] 2\n",
      "我现在在北京隔离，也开始收费了，一天260 2\n",
      "不拿文件他怎么证明他是工作人员，不拿文件一律都按诈骗犯处理。 2\n",
      "首页来的 3\n",
      "[吃瓜] 4\n",
      "怎么 你们家里没有老人和小孩吗[吃瓜] 2\n",
      "婴儿？软肋！ 2\n",
      "不是抽血站吗？ 2\n",
      "首页来的+1 3\n",
      "学生回家隔离有地方是有减免的 2\n",
      "谁家没有26天的宝宝 2\n",
      "我他妈去了河北 2\n",
      "一条200 3\n",
      "一条300 3\n",
      "好 3\n",
      "一条400 3\n",
      "只有确定是阳性的才会去方舱吧，如果是密接那就可以居家隔离。 2\n",
      "有的老人孕妇要去方仓的话，要有亲属陪同最好呀 2\n",
      "说得好，先带你去体验半个月，一天四百就够了，算你体验价[doge] 3\n",
      "一日三餐俩中药液疗法 2\n",
      "键盘侠，视频版 4\n",
      "6 5\n",
      "[拥抱][拥抱]，我现在家里也因为疫情防控遇到了一些困难，但是我觉得没什么比得上健健康康地活着。 2\n",
      "二战期间的🇩🇪 4\n",
      "多给老人小孩做点，一天做个三五次，好好保护他们 2\n",
      "方舱医院是在你确诊为阳性才会让你去的[笑哭] 2\n",
      "回复 @网事不堪回守 :你是天通苑社区工作的?扣帽子有一手 2\n",
      "[辣眼睛] 4\n",
      "[呲牙]也不多说，希望孩子以后托福雅思满分 2\n",
      "你都在家🐑了，你家人属于密接了，肯定也要隔离的 2\n",
      "好开，我喜欢[doge]，现在就去考雅思 2\n",
      "@幼儿园园长干嘛 2\n",
      "回复 @17139152014_bili :很正常，西方民众闹革命几百年了权利意识很强，法国大革命近代社会先驱不是吹得 2\n",
      "防疫人员不等于医护人员，哪一家医院的医生护士能硬气成这样啊[无语] 2\n",
      "一条200 3\n",
      "白象疗法 2\n",
      "就不交钱，他要不不让你隔离不正好嘛，要不就是他也拿你没办法继续让你隔离住着呗 2\n",
      "就这点儿攻击力?你的书是怎么读的？ 2\n",
      "请继续努力，这就是你们所谓关心年轻人的方法，等没有年轻人了，可千万别后悔 2\n",
      "欧洲人版本快两百年 4\n",
      "谁家没有一百岁的老人 4\n",
      "[doge][doge] 5\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "入户……接触……船舶……[大哭]…… 4\n",
      "一隔离就几大千，什么家庭，普通人顶得住吗？ 2\n",
      "https://b23.tv/BV1s14y1E7UQ 4\n",
      "全都是外包的临时工，培训了一两天的那种，两三百块一天 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "大学生愿意回来，本身就是地方值得骄傲的事。能让大学生留下为家乡出力，更是十分不易。 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "回复 @深海湛蓝影 :他们是在外地上学，疫情学校放假回家 2\n",
      "这些人自己包得严严实实，有考虑过衣服手套上的细菌甚至。。影响到小婴儿吗？ 2\n",
      "回复 @深海湛蓝影 :有没有一种可能，只是回家过假期，还没毕业 2\n",
      "回复 @深海湛蓝影 :有没有一种可能，只是回家过假期，还没毕业 2\n",
      "回复 @深海湛蓝影 :有没有一种可能，只是回家过假期，还没毕业 2\n",
      "回复 @深海湛蓝影 :有没有一种可能，只是回家过假期，还没毕业 2\n",
      "我常年留光头，我悬赏找个会带节奏的人推销给我一把梳子。 2\n",
      "这学生行，大学没白念 2\n",
      "必须要有文件，没文件就不合规懂吗？比方说，上班的给隔离起来，公司不给发工资我找谁要？有文件就不一样，公司必须发，回头产生纠纷也有依据 2\n",
      "回复 @血红之旗 :有些外出就读的大学生毕业之后是真的会回家乡致力建设的，你这样搞钱啥印象都没了，还想有人才回来？ 2\n",
      "回复 @血红之旗 :有些外出就读的大学生毕业之后是真的会回家乡致力建设的，你这样搞钱啥印象都没了，还想有人才回来？ 2\n",
      "趁孩子还小，一切都来得及，孩子父母攒钱，孩子重视英语，做好这两点 2\n",
      "回复 @亚洲nigga :妈妈吃个口罩进去给宝宝带好，注意防护[doge] 2\n",
      "医院吧，社区都是免费，但是当时异地工作还只能去医院做开证明::>_<:: 2\n",
      "这手套接触过多少人就敢摸婴儿的脸 2\n",
      "孩子好好学英语 才能活下去 2\n",
      "那个手套还要摸孩子的脸，太可怕了 2\n",
      "回复 @NewPu-W :我小侄儿这么小我都不敢亲他，还上手 2\n",
      "主要是没收入 在家关起 心里慌 2\n",
      "这么脏的手套去碰小婴儿[辣眼睛]真是人才 2\n",
      "回复 @橡树上的猫vv :经典宣传三要素，老人孩子医疗饱和 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "公司案件代理人\r\n",
      "今早持24小时前往法院立案\r\n",
      "门口的保安说要三天三检才让进\r\n",
      "一周就工作五天[打call] 2\n",
      "大灾以后必有大盗 2\n",
      "我家小朋友出生第二天在医院就要求做核酸，2022年11月2日，坐标上海市金山区复旦大学附属金山医院 2\n",
      "考出去 2\n",
      "那我只能祝这个孩子雅思满分了 2\n",
      "everything 5\n",
      "好燃的bgm啊[给心心] 5\n",
      "没被录下来的这种事情又有多少呢 2\n",
      "是的 5\n",
      "还有考点？ 2\n",
      "了 5\n",
      "学 2\n",
      "回复 @破碎的小太阳 : 是学生家长吗？怎么知道年龄的 2\n",
      "Protect！ 5\n",
      "学校真会做生意 2\n",
      "你忘了去年网上有多少人喷普及疫苗？ 2\n",
      "回吕梁这边要坐动车到介休，隔离也是自费 2\n",
      "为什么我们运城这里有人说 有人故意炒作疫情赚钱[疑惑] 2\n",
      "回复 @大肉杆 :多邻国也可以，线上考 2\n",
      "6 5\n",
      "抄，狠狠地抄作业 2\n",
      "[呲牙][支持] 5\n",
      "[妙啊] 5\n",
      "最可爱的人👍 4\n",
      "当然是我，难道是叶问啊 4\n",
      "我爸以前出远门住村里，一个月50 2\n",
      "封了3个月终于建设无疫小区（当地三个月一例没报啊），现在能出门了，但又开始建设高品质无疫小区了。 2\n",
      "你这个激增人数第一时间压垮医疗机构的信念是基于什么得出的？ 2\n",
      "兰文理 4\n",
      "小肋宝宝以后好好学英语 2\n",
      "再看三遍战狼[生气][生气][生气] 4\n",
      "回复 @逆羽轻舞霞 :那么邻寝呢？整个学校呢？让你们几个养的一直待在学校其他学生呢？ 2\n",
      "花木兰！ 4\n",
      "回复 @居里先生丶 :千万拦着别出去，他们大门不出 二门不迈，保护他们最好的方法有且只有保护好自己。别说感染怎么样，拉方舱都够老人家受的 2\n",
      "不停课，上网课而已啦 2\n",
      "回复 @橡树上的猫vv :没有证据说孩子的死亡率高吧？是对患基础病的人有严重威胁 2\n",
      "鄵坭馬 5\n",
      "希望孩子雅思满分 2\n",
      "还有广东潮州，呆着很舒服 3\n",
      "[doge] 5\n",
      "应该上死刑 2\n",
      "回复 @栅栏里的花 :[无语]咱们国家医学生那么多。。。可是能进医院的就那么几个，我所有学医的都在二战三站考研 2\n",
      "我被集中隔离送小区对面酒店  室友说 妈妈上班还可以跟妈妈打个招呼[疑惑] 2\n",
      "我上学期回家我爸不让我进车，先拿酒精把我喷了一遍换了个口罩才让我进车[跪了] 2\n",
      "浙江省的文件 2\n",
      "我们这高中网课从短袖上到大棉袄子[无语][doge][doge] 2\n",
      "柳州是个工业城市，外来人员较少 2\n",
      "志愿者这一块基本都是招的社会闲散人员，医生护士也得穿防护服，那些社会人的言行也没少给医护人员形象摸黑 2\n",
      "我发烧我知道自己挺挺就过去了，你家孩子发烧你也让他挺挺过去？更何况现在社会上多少人是三高，糖尿病心血管病之类的，去医院做个体检都排老长队做不了。 2\n",
      "入户，你再消毒也只是消毒手上的吧，全身消毒了吗，这么小的孩子一点防护都没有，还进人家里上手做，这个大白才是病毒传染媒介吧。 2\n",
      "法国大革命还是领先几个版本 4\n",
      "说没必要的，自己去看看人家放开地区一次没感染过的人出门后怎么消毒的吧，如果家里有慢性病老年人活着婴幼儿，注意点有啥问题 2\n",
      "老人孩子怎么办？ 2\n",
      "不矛盾。。 4\n",
      "看看太原大同这样的边陲小城 3\n",
      "我们县城这儿也只有县医院和中医院做核酸 2\n",
      "[笑哭][笑哭][笑哭] 4\n",
      "让我想起我大一寒假回家，我家里人说我带病毒回来了，这种滋味并不好受。虽然防疫意识很好，但是从我角度我觉得很难受 2\n",
      "[doge] 5\n",
      "[支持] 5\n",
      "祝以后雅思满分 2\n",
      "主要是身为家长，这样做家长也得跟着一起静默居家隔离，那谁给你送吃的送喝的？ 2\n",
      "说大可不必的，这是别人家，万一他们家有老人病人或免疫力低的人。现在全凭自愿[doge] 2\n",
      "老孩小人 2\n",
      "我觉得还好吧，好好做好防疫，万一哪个学生真把病毒带回去了，那肯定是扬名全市[笑哭]而且看视频好多家里都是有老人和小孩的，免疫力低，而且就视频里的这一小段，你怎么知道平时家人对他好不好？[doge] 2\n",
      "你要是万一把家里人感染了心里会难受吗？隔离的大都是有风险地区回来的，你命重要，家里人的命也重要 2\n",
      "6 5\n",
      "小城市没有大规模人员流动。而且现在还在全市高校自封控 2\n",
      "daban 4\n",
      "观赏垢結，而且是大树！你怎么盼？ 3\n",
      "真的觉得农村防疫是做的做好，起码每个人都当成事，很认真的在对待。在城市里，一群大爷大妈真的说不通，一个楼里都阳了，还想嚷嚷出去，就不知道出去要干嘛，非得出去打水喝。差一天都不行。 2\n",
      "坏了[doge]我现在很想住他们住的这些个小农院，小木屋[doge] 2\n",
      "看当事人是以什么心情发的！显然这些孩子是当搞笑视频发的呀！ 2\n",
      "柳州都觉得自己是小城市了 好多地方人口比柳州少经济比柳州差都有很多病例 像黑龙江的边陲 兄弟可以看看 2\n",
      "@也怯情浓c 卑微隔离版本 4\n",
      "我妈和我妹不想和我一起隔离，我在我们家对门隔离（我舅舅刚买的房子，现在还是毛坯房）我妈在地上给我铺了个床，让我自己蹭自家的网上网课[笑哭] 2\n",
      "服了，我们这里酒店不收返乡大学生！一般就是家里人去住酒店，大学生在家隔离[笑哭] 2\n",
      "这么看，我妈还是爱我的，只是把我关屋里头自我隔离，别出去嚯嚯她[doge] 2\n",
      "按你这个标准，全广西都应该是外来人员少了，今年柳州基本全是外来疫情的好吧 2\n",
      "说没必要的我们村就有两户阳了因为返乡大学生，非得得上了才有必要嘛？ 2\n",
      "回复 @也怯情浓c :你说你隔离 奶奶会不会也这么搞[doge] 2\n",
      "但是这次疫情好像农村比城市严重，我们一个村60个左右 2\n",
      "回复 @好大一颗大珍珠 :不是所有农村人都能自给自足的呀，没有田地的农村人也很多，而且我们这边农村也是楼栋[笑哭] 2\n",
      "我姐刚回家上网课，她学校就成阳性隔离点了，更巧的是，我们妈妈刚好要去她的那个学校工作[doge] 2\n",
      "1 5\n",
      "有不少网友以为很多发达国家的居民看医生就跟国内一样，有不舒服去到医院挂个号看病拿药回家。然而并不是这样的：\r\n",
      "即便是没有疫情时你在荷兰当地想看医生首先得约社区家庭医生GP，经GP问询之后才会视情况给你推荐医院。然而等待时间嘛，安排不到方便时间是常有的。那你能不能直接去大医院呢？答案是全靠演技：\r\n",
      "“只要你还能竖着进医院门，他们就会叫你约GP。”\r\n",
      "所以很多留学生被迫练就了一身戏精演技，得病了要约GP时把症状往见不到今晚月亮上报，受伤了就挑非工作时间找人把自己抬进急诊科里(或找个轮椅推进去)，毕竟生病了还能扛着等自愈，受伤了就真是活受罪。\r\n",
      "所以与其说他们面对疫情不想抓紧，更不如说他们本来就拉胯(〜￣△￣)〜 2\n",
      "gp看完直接就买药回家吃了，clinic基础的检查包扎也能做。为什么要等gp推荐医院再去医院排队？ 2\n",
      "之前老爸从深圳接我回家隔离，他真的把我关在房间里整整三天，饭都是放门口地上让我拿[笑哭] 2\n",
      "德国绝大多数生病都是去诊所的样子，或者直接药店买一些非处方药。一般去医院都是紧急的问题 2\n",
      "回复 @三十九块六 :问题就在这，入学带我的学长说的是“等你预约上日程了还不如去K店买盒扑热息痛”。而受伤指的是那种怀疑伤到骨头的，要拍X光的。 2\n",
      "Up可以的[打call] 5\n",
      "不是b站? 4\n",
      "BV1d24y1C7nM\r\n",
      "对照参考一下 4\n",
      "说的挺好的[支持] 4\n",
      "@火之高兴fop 4\n",
      "@火之高兴fop 4\n",
      "满口胡言，我也阳过，症状悉尼地方多不负责任那些我不说就没有？ 2\n",
      "@https://b23.tv/BV1t54y1b76m https://b23.tv/BV1rY4y137BS 4\n",
      "N\r\n",
      "G\r\n",
      "O 5\n",
      "昨天看见有人说我们柳州防疫好，然后昨天确诊29例[笑哭][笑哭] 2\n",
      "还有，以后发视频的时候，请先说清楚你是个移民机构。 2\n",
      "我放假回家，我妈见我第一句是，你别过来，离我远点儿[笑哭]，最后把车钥匙给我，让我自己带着行李回家隔离，中途没有一点儿肢体接触[再见] 2\n",
      "对咯，很奇怪，我女儿天天和我一起，我有问题她能跑得掉吗？才一岁多一点，也要我女儿做核酸，小孩子看心情做核酸，现在排队小孩一不愿意，医护人员不耐烦，后面又一长排的队，我都尴尬到不行.真的不理解这些人 2\n",
      "有必要的 我们小县城多了三例就是大学生回来的 2\n",
      "[笑哭]我回家的时候是坐小叔的车走的，我刚出校门，我小叔就拿好酒精了，上车前怒喷我一顿 2\n",
      "我那个市也就50万左右的常驻人口   今年封了110天[吃瓜] 2\n",
      "仅仅同意你的标题和结论，然而视频里的9成内容不是胡说就是春秋笔法。 2\n",
      "说一半编一半不是搞笑么，我德国留学的同学自己说的他的饮食花销起码多了一半以上，能是没影响？[吃瓜] 2\n",
      "诶，不懂欧洲其他国家，不过英国政府确实是每家每户包括留学生租房的电费支票补贴直接从电费里扣，我已经三个月没花一分钱在电费上了现在账单上还有白送的96磅 2\n",
      "你看看西班牙电费你就不会这么说了 2\n",
      "财经类的不都是？ 2\n",
      "那南宁封的是真狠，我之前听说一个个地方封了，以为南宁疫情很严重。\r\n",
      "还有就是我那些南宁的同学，封校比我在深圳狠多了，虽然深圳疫情一年来小规模反复。 2\n",
      "《北约没有参战》《用了不到一成功力》 4\n",
      "支持死刑 2\n",
      "我在老家隔离期间完成了我的大学毕业论文，因为除了写毕业论文，没有其他可以做的事情了[笑哭] 2\n",
      "姐，报道一下我云南德宏州梁河县，三年来真的一例阳性都没有，瑞丽陇川盈江县都多少反复，就它一例都没有[笑哭][笑哭] 2\n",
      "可以在羽绒服外面套一个大的单衣啊[喜极而泣]校服呢，快拿出来呀 2\n",
      "当一个中介突然开始做科普的时候，应该就要意识到什么了 2\n",
      "我隔离的时候直接让我妈送进新房里，还没通地暖的那种，我去的时候甚至连床垫都是那几个毯子凑合铺的[呆] 2\n",
      "这个up是美国置业的房产中介，观看前提醒 4\n",
      "是啊，我之前回家，都很自觉，我那边当时没有疫情，也全程一直酒精消毒洗手戴眼镜，口罩全程不敢摘，验核酸。回家前还自己拿着酒精喷瓶全身来来回回喷个好几次才敢进门。 2\n",
      "您真是世界上最美丽，最聪慧的人。您觉得我说得好吗？ 4\n",
      "[doge] 5\n",
      "我爸妈非要我在过道喷消毒水喷三遍[微笑]还要分开洗我的衣服[笑哭] 2\n",
      "我们这边都是大学生带病毒回来，而且还是回来就各种跑。[笑哭] 2\n",
      "这里有莫桑比克（） 4\n",
      "谁家没有老人小孩啊？[口罩] 2\n",
      "真的不知道回家要不要隔离 2\n",
      "考试取消了😭 2\n",
      "@I培根先生I 4\n",
      "咱们永远温顺，殊不知社会就是靠冲突矛盾进步的。 2\n",
      "我唯一可以确定的是，这场疫情造成的影响和后果将是持久深远的[吃瓜] 2\n",
      "[热词系列_知识增加] 5\n",
      "我在德国医院上班 我们98%都感染了 啥事儿都没有 没人重症 2\n",
      "小个小时消毒一次，你这是痔疮发作了吧 2\n",
      "时过境迁 十分感慨[无语][无语] 4\n",
      "返校季也很多学生的[笑哭]之前我疫情都过去两周了，都还让我缓缓再返校，学校也是真的怕哈哈哈哈 2\n",
      "祝这位大学生的孩子未来雅思过关 2\n",
      "我外甥也是，刚出生做了一次，一个月的时候口水疹要去医院又做了一次 2\n",
      "哈哈，没到自己身上，他都拎不清。搞得一辈子没去过医院一样。平常时间三甲医院看病是啥情况不知道吗。 2\n",
      "从我所在的潍坊来看，全是输入型病例，本地没有。 2\n",
      "柳州本地人来啦！柳州检测依托医院为主，我们目前基本都是无症状，但是阳性已经很久没听说了，至于流动嘛。。。柳江不好看？柳州火车站不是枢纽？最多航空少，但是铁路都是嘎嘎跑。 2\n",
      "你这算啥，我宝贝早产一个月，在医院保温箱天天都给做。 2\n",
      "是不是恐慌看看最开始的意大利，你的城市有多少医院 又有多少人 重症几率就算千分之一你城市里有多少人 2\n",
      "阅 3\n",
      "阅 3\n",
      "我们学校直接三个月封校不放假[doge]今天才回家 2\n",
      "说得特么好像柳州出去的人不用遵循防疫要求一样 2\n",
      "现在无话可说了，我后悔以前骂她。这个地方真的惨，封我100天我也受不了。 2\n",
      "你大同的？ 5\n",
      "太感谢了！！！ 3\n",
      "太感谢了！！！ 3\n",
      "@我家小朋友脾气不好 2\n",
      "德国不是说不戴口罩吗？你95是预防寒冷的吧 2\n",
      "学习到了，为了家人为了将来做准备。 2\n",
      "牛啊[doge] 4\n",
      "在学校被封了三星期现在又要正常上课了… 2\n",
      "德国不愧是导师的家乡 2\n",
      "才一个星期，我们这都快上三个月网课了 2\n",
      "来了就直接被拉走隔离，每天基本就是医护把饭搁我门口，敲门，后退然后我拿饭，跟养宠物一样，但是很安详[doge] 2\n",
      "谢谢支持呀🙏有机会我再拍个步骤哦[星星眼] 4\n",
      "我的天哪，突然意识到我们家完全对我没有什么隔离措施，我从学校回家之后，得全家跟着我一起居家隔离十天，我回去之后因为要线上考上学期的期末考试，直接在客厅把行李箱打开了，然后我换了衣服就开始坐在客厅边看电视边吃肉[热词系列_知识增加]突然觉得我们家好不负责[保卫萝卜_哭哭] 2\n",
      "家里有医生，在家里专门搞了一个小隔间做缓冲区，外衣全脱外面，晚上开紫外线灯照一宿 2\n",
      "令人感叹。 4\n",
      "像若治 4\n",
      "谢谢你啦[星星眼][星星眼][星星眼][星星眼] 4\n",
      "[笑哭][笑哭][笑哭] 4\n",
      "我朋友的爸爸是武汉第一批新冠患者，那时医院床位稀缺只能在家隔离，最后去世了。。但是我朋友和她弟弟妈妈都没有阳。 2\n",
      "很棒，现在要放开我已经准备在门口弄一套自动喷酒精喷雾的设备了，毕竟家里有没打疫苗的老人，要做好防护 2\n",
      "是滴是滴[星星眼][星星眼][星星眼] 4\n",
      "哎第一波新冠患者真的很惨，当时也没经验，恐慌加上病痛，折磨着多少家庭。 2\n",
      "答辩 2\n",
      "谢谢，感动[惊喜][惊喜][惊喜] 4\n",
      "【自限性疾病并不代表不需要治疗】 https://b23.tv/UdQAbH4 2\n",
      "比较全了 3\n",
      "初，读的 4\n",
      "6 5\n",
      "学校四周都有疫情，老师也有被隔离的，等了快2周才停课[辣眼睛] 2\n",
      "劳您大驾[大哭] 4\n",
      "给愚人众来些璃月震撼！ 4\n",
      "这东西可不是妖魔化，up是她那里的医疗崩溃，没办法的办法，这个版本的传染力毋庸置疑的！ 2\n",
      "6 5\n",
      "6 5\n",
      "j 5\n",
      "md只要让我在家网课苟到放寒假就行 2\n",
      "拿羊肉当主食的县？这是哪里的风土人情？ 3\n",
      "这个东西就是看阳性的自觉能力  他不自觉 你们全得 2\n",
      "另外尽快开放第四针疫苗接种，最好引入不同的疫苗，原来打灭活的打MRNA 2\n",
      "执行同一个20条，出现不同的地方政策，这差异化的基础是什么？各地方自己家的事儿自己管，出事儿自己平 2\n",
      "看似有点东西，其实句子都读不通[doge]你应该是写检讨的好手吧 2\n",
      "保定这明年开学我还敢回去吗？[辣眼睛] 2\n",
      "我觉得没啥问题。大家少去年轻人多的地方就行。 2\n",
      "完全赞同。另外，补充一下，疫苗确实是有效的。我们这里的大学，有个学生在校外被感染了，但回到学校后，除了同寝室的人以外，和她一起上过课的同学和老师都没被传染，这说明疫苗是可以防御一般程度的接触的。没打疫苗的，抓紧去吧。 2\n",
      "比如说工作日的写字间，早晚高峰的公共交通工具，学校的教室，等。[笑哭] 2\n",
      "我和老婆都能保护好自己，最怕两个孩子在的学校大面积感染。。。。 2\n",
      "广东数据显示 小孩是影响最小的 2\n",
      "学校，课外班。。。。想想都刺激 2\n",
      "学校无法避免啊 2\n",
      "明年在黄埔考完职业证在不在广州找工作我都要考虑了 2\n",
      "还有老人，老人在家闲不住，喜欢出去聚集，非常容易被感染，然后带回家，感染大人小孩，再由小孩带去学校。孩子还能管，老人比叛逆期的孩子还难管，根本不听你的。 2\n",
      "回复 @cretin :我们上课都戴口罩，虽然没有要求，但是大部分都戴了。 2\n",
      "回复 @望着海峡盼统一 :对，有的老人文化水平可能不高，又比较执拗，很难办 2\n",
      "回去上课，要不我告诉你家长 2\n",
      "我儿子上的幼儿园一个班40+人，昨天才有5个上课的 2\n",
      "其实就算是在国外，也有三年从未感染过的案例，人数还不少，他们共同特点是多次疫苗，做好个人防护，居住地人口密度低，当然还有天生免疫者。 2\n",
      "有些重症患者真需要医院，挺不过去[笑哭] 2\n",
      "可是我有广州网友，医疗系统医生护士都有，看见过不少最近感染发烧的孩子。[笑哭] 2\n",
      "唉。。。[笑哭] 4\n",
      "回复 @无名网左 :是说小孩子病程短，程度轻 2\n",
      "回复 @cretin :只有你们大学不戴口罩吧 2\n",
      "回复 @摸鱼是养生的终极奥义 :哦，但是这些广州孩子是真发烧啊。[笑哭] 2\n",
      "回复 @Jeff123123 :重庆有人口密度低的地方吗[doge] 2\n",
      "每个学生都是自己学习成绩的责任人，学习不好不能怪原生家庭，不能怪社会环境，不能怪老师学校水平低，不能怪同学霸凌[吃瓜][吃瓜][吃瓜] 2\n",
      "[笑哭]老年人 怎么抗 家中悄无声息升天都不知道的太多 2\n",
      "大学集体宿舍不可能不得 2\n",
      "家人 4\n",
      "考研党要疯了 2\n",
      "湖南长沙还在严防死守。听说一个小区两栋出现阳性，整个小区都给封了。我们工业园员工都关在园区快一周了。 2\n",
      "难 4\n",
      "我是kn95[歪嘴] 5\n",
      "有的小地方医院都没开门啊[捂脸] 2\n",
      "https://b23.tv/BV1Re4y1g7A4  希望去那边旅游吧 3\n",
      "【新疆父母辗转37小时，带2岁女儿来重庆求医。爸爸：我发视频，是想大家重视新冠，注意防护，保护好家人！-哔哩哔哩】 https://b23.tv/AC0GyoZ 2\n",
      "家里身体不好的老人怎么办啊 2\n",
      "老妈身体不好，这些年都是用药养着，现在放开了，又是过年的节骨眼上，农村也不安全了，担心啊！愁死我了。 2\n",
      "吃饭和门口摆放消毒用具这个非常有参考价值了！谢谢[奥比岛_点赞] 2\n",
      "现在真不知道咋办了[大哭] 2\n",
      "工厂所有人一起吃饭怎么避免，避免不了的， 2\n",
      "医院员工肯定会更加照顾。安心。 2\n",
      "大学怎么开学，一寝室不可能不感染，就硬抗？ 2\n",
      "我们考研机构刚有个🐑的 我才麻了[捂脸] 2\n",
      "重庆取消混检了.16一次我又不是富二代.[吃瓜] 2\n",
      "大一封到大二，教职工校外人员随便出入，除了学生[doge] 2\n",
      "明年中考上了一个月网课感觉废了[藏狐] 2\n",
      "相信你们的坚持一定是对的。全部放开，我个人不赞同 2\n",
      "回复 @归属权刮水器 :哪个机构？ 2\n",
      "拾一样的答辩 2\n",
      "老师好？ 2\n",
      "一看不超过18岁 4\n",
      "人口密度低[笑哭] 4\n",
      "家里有基础病多的老人的，都是同感，真不想因放开而变得危险。这几年幸亏防疫得力，被保护的不错，以后要靠自己了，难受。 2\n",
      "说真的，我自己怎么样，我已经无所谓了，我女儿5岁，儿子2岁，真的不敢想象如果他们感染了，发烧，疼痛，我会心疼成什么样子。 2\n",
      "【疫情高峰期的医疗挤兑？日本一新冠患者被医院拒绝100次以上，在家中死亡【外国网友评疫情第19期】-哔哩哔哩】 https://b23.tv/OH28TSy 2\n",
      "答辩 2\n",
      "居家怎么隔离？一家大小都住一起 2\n",
      "《群坤》[tv_doge] 4\n",
      "谢谢国家，前期的努力。能理解，也要为自己负责。 2\n",
      "跟up另外一起的人是三岁小孩和六十岁老人，up这个措施很能说明问题了 2\n",
      "yygq还得看大虎子[doge] 4\n",
      "哪儿[doge] 4\n",
      "答辩 2\n",
      "看看UP波士顿圆脸最近几期关于防疫的一些视频，做好个人防护 2\n",
      "我也是，准备明年过年不回去了。让家里人尽量照顾好自己。过了明年春天应该会好转吧。 2\n",
      "高中一个宿舍十个人甚至十二个人 2\n",
      "构思 4\n",
      "除养老院、福利院、医疗机构、托幼机构、中小学等特殊场所外，不要求提供核酸检测阴性证明，不查验健康码。 2\n",
      "我外婆89，90了，不敢出门，她已经打了两次疫苗，出门戴口罩，没有事情不出门，我外婆家是乡村这边自己家有种菜养养鸡鸭鹅可以供自己吃， 就怕血糖高血压高，我外公有痛风要长时间吃药。老人最怕就是这个病毒 2\n",
      "回复 @玛丽苏中的路人甲- :高三正是拼体力的时候，多过分啊，而且学校吃饭时候，跑操时都得摘口罩…怎么防啊 2\n",
      "很符合我对大白的想象 4\n",
      "答辩 2\n",
      "6 5\n",
      "我比你还纠结，我在昆明上学，我家在保定…… 2\n",
      "同保定人，现在外地上学 4\n",
      "eats tall girls 5\n",
      "防护措施做好了以及自身免疫力强都是很大的因素，我有同学在美国留学，她舍友🐑了，她都没事，且和她舍友一起出去玩的人也全部没事（她舍友就是出去玩了一趟🐑的）。我同学基本从来不熬夜，每天十一点前睡觉，体质好，且她知道舍友出去玩，所以她舍友回来后两个人基本不碰面。 2\n",
      "封控的时候你也需要担心这种问题吧，很多地方高血压药都买不到，突发性疾病因为隔离都没法去医院，这时候也需要担心家里的老人啊[大哭] 2\n",
      "一点都不难过[星星眼][星星眼][星星眼] 4\n",
      "我不知道你们都是什么情况，我现在返乡的去方舱隔离7到8天，没空调没桌子，我从9月就再因为这个就再也没上过街了，我心态都要炸了 2\n",
      "民族舞 5\n",
      "我无所谓，我只希望爸爸妈妈健健康康 2\n",
      "看到保定一个妈妈的微博，眼泪都要下来了。她也是俩娃，跟你家孩子差不多大。老公病得下不了床把自己关了起来，俩娃一个吃了就吐，一个高烧不停哭。该宝妈已经出现发冷喉咙痛的症状，她在担心自己病了怎么办。现在只能希望她倒下的时候，老公已经恢复了可以接班。揪心啊！ 2\n",
      "答辩，是一种教育术语。一般是几位相关专业的老师根据学生的设计实体和论文提出一些问题，同时听取学生个人阐述，以了解学生毕业设计的真实性和对设计的熟悉性；考察学生的应变能力和知识面的宽窄；听取学生对课题发展前景的认识 2\n",
      "更像双向情感障碍 2\n",
      "不像带焦虑的抑郁症，因为我靠吃喝玩乐硬生生把抑郁症重度变中度[doge]买药还有副作用[妙啊] 2\n",
      "孩子总要学会自己走路，不能永远在大人的搀扶牵引中蹒跚而行 2\n",
      "孩子学走路可不会有死亡率，也不会留下后遗症 2\n",
      "自己居家吧，然后以后还可能医疗费用自付。 2\n",
      "午托答辩跳舞 2\n",
      "g 5\n",
      "18  19  20   届大学生是真的惨    不知不觉大学生活压根没什么体验就要结束了 2\n",
      "级 5\n",
      "什么叫全剧终？喜剧？闹剧？ 4\n",
      "我80、90多岁的爷爷奶奶已经做好牺牲的准备了，我在想，我老了，我要体面的离开，我大概在90岁之前去做个安乐死，活太久就是受罪，每天面对镜子里不断老去的自己，还不如老年时光用来总结自己的人生，然后完成自己能够完成的心意，最后找个合适的日子离开。 2\n",
      "芜湖 开摆！ 3\n",
      "在家上网课的中学生可以不bb吗? 2\n",
      "午托答辩跳舞 2\n",
      "拿快递还记得戴防毒面具，还要接上百分之七十五酒精的吸气瓶[doge] 2\n",
      "17级的表示太爽了体验了大学生活也体验了不用去学校[大笑] 2\n",
      "总有大聪明会说，你工资才缴了多少啊，我只是直接无语😑 2\n",
      "答辩跳舞 2\n",
      "但是我也没见过昨天还在一步步扶着学走路，今天就给钱让娃去自己买饭去 2\n",
      "回复 @不导了不导了 :找工作呢？ 2\n",
      "[吃瓜]珍惜学校的呵护吧，现在这种情况加上父母这个年纪今后会很容易失业，毕业进社会可没人如此爱护你。 2\n",
      "这年头，估计没人当作是真的心理疾病 2\n",
      "战争剧[大笑] 4\n",
      "反正大多数人也就看到的眼前开放了，不用隔离了，做事都方便了。过个半年身边的人包括自己得这个病，被弄的死去活来，或者家里老人去世了。他们又要在网上开喷了 2\n",
      "我们中老年人看答辩并不是想要图什么【中老年2.0_知足常乐】也不是完全为了消磨时光【中老年2.0_给你点赞】我们是在追随时代的脚步【中老年人_称赞】展示真实的自我【中老年2.0_你真棒】记录美好的生活留下美好的回忆【中老年2.0_玫瑰】我们虽然已经不再年轻【中老年人_一生平安】但是我们有一颗永远年轻的心【中老年2.0_早上好】与君共勉【中老年2.0_相识是缘】亲人们【中老年人_干杯】【中老年人_认识你真好】【中老年人_珍惜朋友】【中老年人_珍惜缘分】 2\n",
      "网络是这样滴 4\n",
      "苦难剧 4\n",
      "从我自力更生出来打工就碰到大疫，三年了风里来雨里去终于结束了，希望今后可以开始新的生活希望可以和爸妈见个面。 2\n",
      "抑郁情绪不等同于抑郁症 2\n",
      "回复 @身体健康身体好 :大学生这个年纪，几乎不存在重症的可能\r\n",
      "很多学校都是教职工随意进出，只把学生封在学校里\r\n",
      "学校也是社会的组成部分，教师和学校领导也并不会因为职业比别人更加高尚\r\n",
      "学生在学校里一直是地位最低的群体\r\n",
      "还好我毕业了 2\n",
      "各位是没有经历过20-21年吗？？ 4\n",
      "依托答辩[OK] 2\n",
      "看哭了 4\n",
      "n.晚餐，正餐 4\n",
      "n.晚餐，正餐 4\n",
      "我靠，我说怎么天天刷到，原来全是你转发的呀，答辩搬运工？ 2\n",
      "唱跳rap 5\n",
      "多大了朋友 4\n",
      "就像我的一个同事，之前到处转无所畏惧，现在中招，几十人一个房间睡折叠床排队等方舱，哭都来不及，这还是年轻人，谁家没老人小孩，你觉得好过？ 2\n",
      "可以的，真爱[打call] 5\n",
      "不愧是导师的家乡 2\n",
      "得給他們一點小小的大白震撼 4\n",
      "晚餐 3\n",
      "在宿舍怎么防疫呀？人家们不当回事，人家们说你有权利防疫，我有权利自由。可是坚持防御和随意得病本来就不公平啊，在一起住，她们不防有什么用啊。 2\n",
      "嗨还是别这样吧，毕竟你没经历过，这些精神类疾病不是很容易得的，也并不是在装。很多人都不理解抑郁症，躁郁症，双向，焦虑症，精神分裂这些的，只是觉得可笑带有歧视。我们这些人真的很绝望，生病十几年，每时每刻都很痛苦，靠药物改善心情，但药物其实没太大用处。如果你们不理解也没关系，至少不要这样了，真的很伤人 2\n",
      "回复 @老伴不哭 :大概率是误诊吧，毕竟重度抑郁可不是那么云淡风轻 2\n",
      "【国家卫健委：抗原检测阳性人员需报备。没有症状或症状轻微时，居家隔离治疗。-哔哩哔哩】 https://b23.tv/6OrBH2K 2\n",
      "说实话，快考研了，但是已经不想要校园生活了。。舍友都是自由的不怕死的灵魂[尴尬] 2\n",
      "可爱答辩 2\n",
      "就是不好理解，仔细看一下就知道了 4\n",
      "屎壳郎up 4\n",
      "双向情感障碍，如果判断患者是抑郁症并按照抑郁症开药的话那这个医生太不称职了，如果女孩没有去过医院诊断的话快去医院接受专业治疗，这个和抑郁症区别很大， 2\n",
      "抑郁症有些药物，服用不当，会增加狂躁，然后就变成双相情感障碍。然后就放弃治疗了。友情提示，怡诺思类药物不能多吃，不能长期服用 2\n",
      "抑郁症有些药物，服用不当，会增加狂躁，然后就变成双相情感障碍。然后就放弃治疗了。友情提示，怡诺思类药物不能多吃，不能长期服用 2\n",
      "答辩搬运工是吧 2\n",
      "什么传统服饰 3\n",
      "双向障碍，祝你早日康复，一切都会好的。[爱心] 2\n",
      "这像是精神分裂症的阳性症状呀 2\n",
      "这up就是一答辩 2\n",
      "依托答辩 2\n",
      "考古 3\n",
      "回复 @ArcueidBelldandy :什么？小孩不是已经学会开骂了吗，买饭怎么了 2\n",
      "日本IP是吧 4\n",
      "可爱的捏[星星眼] 4\n",
      "怎么老是搬运一坨答辩 2\n",
      "这会所价格怎么样？ 3\n",
      "我20多岁的也做好心理准备了，就是希望走前能尽量多完成一些自己想做的事情 2\n",
      "可爱捏[星星眼] 4\n",
      "答辩依托 2\n",
      "有没有可能up一家是无症状感染者。 2\n",
      "[脱单doge][脱单doge][脱单doge] 5\n",
      "[支持] 5\n",
      "会好的！如果可能的话可以找一点专业的心理学视频看看，我对象也是抑郁双相（目前算康复了），通过自学不仅接受了自己也上岸心理学研究生了！加油宝子！ 2\n",
      "防控放开应该是逐步的，而不是突然的。并且是有底线，居家隔离不能外出是内防反弹底线，落地检是外防输入底线。健康码，依然需要。真正应该做的事，减小封控范围，让居家隔离这个方法更可行。 2\n",
      "[doge] 5\n",
      "中国震撼[脱单doge]https://b23.tv/BV1U24y1k7RK https://b23.tv/BV1xv4y1R7qW 4\n",
      "依托构思 4\n",
      "攻击这种可以，请别攻击医护人员，医护人员还是很幸苦的 2\n",
      "相信我，坐在她旁边不说话都要比大发慈悲的强，以前重度的时候我甚至会觉得为什么是别人来安慰我，而不是我安慰别人。而且吧，心理成因的抑郁症的病人一般都是钻了很深很深的牛角尖，人越往角落走都是越孤单的，一句话不对胃口，病人可能就发作了。 2\n",
      "老妈怎么办 2\n",
      "一句话:你想赌一把去养活一家子还是十几年都蜗居在家，这两个选项你只能选一个 2\n",
      "小朋友戴好口罩 2\n",
      "野史区up 4\n",
      "很多人陷入一种误区，自己必须是聪明的、健康的、完美的、正能量,这样会不断压抑自己的天性导致抑郁。接受自己的不完美，不要对自己要求太高，会活得舒坦点。现在的我，已接受自己不够聪明、悲观、冷漠，能够勇敢坚强的面对生活。 2\n",
      "我们这疫情挺严重的，学校非但不停课，还逮着星期六使劲补课[微笑]星期日差不多也要没了[星星眼] 2\n",
      "https://b23.tv/BV1Ub4y1H7db 4\n",
      "https://b23.tv/BV1iu411k7WF 4\n",
      "是真的，我连恋爱都不想谈，一点需求都没有，那买房也更不用急着考虑了，更不会有孩子，也喜欢独处 2\n",
      "11月17日\r\n",
      "https://b23.tv/BV1nK411d72Q \r\n",
      "12月7日\r\n",
      "https://b23.tv/BV1x44y1S7R3 \r\n",
      "同一up在短短20天的变化 5\n",
      "控制得住的人才容易得抑郁症，我基本每天晚上睡觉都会怪叫怪笑梦游，上学时会吓坏室友被迫搬走，但是我也绝不能在公共场合失控吓到别人 2\n",
      "兄弟想知道你们那边严重不 2\n",
      "安心了。未及他人苦的太多了，双相怎么样只有患者自己跟他周边的人知道。评论里那些是永远无法理解的 2\n",
      "传染是无形的啊 你无意被传染了 你愿意买单吗 公共卫生管理本科路过 2\n",
      "在学校根本没办法防啊[大哭] 2\n",
      "回复 @玛丽苏中的路人甲- :现在不知道，以前我高一的时候，一个宿舍40人[抠鼻] 2\n",
      "高三党也要疯了[大哭][大哭] 2\n",
      "[doge] 5\n",
      "[doge]看时间顺序 4\n",
      "[doge]看时间顺序 4\n",
      "[doge]看时间顺序[脱单doge] 4\n",
      "[doge]看时间顺序[脱单doge] 4\n",
      "[doge]看时间顺序[滑稽] 4\n",
      "[doge]看时间顺序 4\n",
      "[doge]看时间顺序[嗑瓜子] 4\n",
      "[doge]看时间顺序[调皮] 4\n",
      "我们班已经阳了一半了 2\n",
      "家在林溪谷，老家在长桥 3\n",
      "大环境这样真的没办法，特别是学校里想不感染也太难了[热] 2\n",
      "群体免疫？我记得我高中写作文还嘲讽过[笑哭] 2\n",
      "现在学校都提前放假了 2\n",
      "好幽默 4\n",
      "[doge]我还看了下时间，以为穿越了 4\n",
      "up是我的嘴替了[喜极而泣] 5\n",
      "回复 @好喝的牛奶棒 :我们学校今天复学 2\n",
      "的确是穿越了。21年的视频 4\n",
      "十分细致殷勤的个人防护，可是小朋友家庭可咋整啊，不上学也不是 2\n",
      "我一大家子住在一起，焦虑的不行。 大儿子9岁，小女儿刚满月。。。爹妈都是70＋了，或多或少都有问题。 2\n",
      "家人完全不听啊…… 2\n",
      "我室友他妈的天天出校门 2\n",
      "不是数字啊，那是生命，背后是家庭 2\n",
      "平均38.6  保定 一座有温度的城市 3\n",
      "学校早着了，阴的都赶回家了[吃瓜]，感谢学校天天催，我拖了好久没走，直到宿舍楼上下层都有阳性 2\n",
      "高中生估计要开学了，祝好 2\n",
      "学校是真的没办法，我们学校戴口罩的三成，就这宿舍环境等着冠爷一遍遍的犁吧，更别说小学中学了。 2\n",
      "我也是，甚至焦虑到失眠。 2\n",
      "即使是为了看小作文找乐子，大家也要好好防护，祝大家都比唐飞撑得久[吃瓜] 2\n",
      "不管别人怎么说，我都感谢国家的保护，像我这种从小身子骨弱的，基本两三年就要住一次院的，真的没有别人能抗，唉，以后只能靠自己了，希望在24号之前能保持阴性吧[捂脸] 2\n",
      "就算别人觉得离谱也要带的，可以的话，就我一个在我工位附近消毒，别人会说起来随便说两句，那又怎样呢，身体是自己的，亲人是自己的 2\n",
      "我没有沉默，在公司和认为是感冒的同事怼了起来，可惜很多人都认为这是感冒，只有我几个有孩子的同事体验过半夜跑儿科门诊的痛苦愿意为了孩子跟我一起防疫，我打算半个月内把工作结束，请两个月假避开感染高峰期 2\n",
      "就是怕自己身上带着什么传染给了老人，孩子。小孩太小还没能打疫苗，老人又有基础病…… 2\n",
      "跟家人住一起表示没啥用，家里人根本不听 2\n",
      "看我ip 走个6[doge] 4\n",
      "我初中肺炎烧了两个星期，平均温度39，靠，我就说我脑子怎么。。。 2\n",
      "Up主的话，对于那些心怀善意的人来说是有用的，不管他们支持开放还是严格封控。但是对于那些极度自私冷漠阴暗的人来说，毫无作用，还会遭到嘲笑，不管他们持何种立场。请善良的朋友们面对攻击时，保持心理平静，情绪不受波动，内心毫无波澜地继续去做你认为正确的事情。 2\n",
      "我身边除了同龄人 真的我爸妈 我外公外婆 都不戴口罩了 很无奈 2\n",
      "单身像up这样搞，拖家带口就恼火了。。 2\n",
      "一样 4\n",
      "正常人最大的错误就是无法用理智打败无知，让一群疯子获得了它们从来没有过的权力——用它们的愚蠢决定他人命运的权力。 2\n",
      "我比较担心老人及小孩！特别是农村及乡镇的！支持up！ 2\n",
      "https://www.bilibili.com/video/BV1wA411q7De 4\n",
      "热血保定[脱单doge] 4\n",
      "6[doge]9 4\n",
      "我也是慢性咽炎➕胃炎伴胆汁反流，而且我还有过五六次的急性焦虑发作，我很担心如果🐑了，会有后遗症之一的植物神经紊乱。因为植物神经紊乱和急性焦虑发作的一部分症状相似，体会过的朋友肯定懂这种来自内心深处的恐惧 2\n",
      "BV1RR4y1k7FS\r\n",
      "BV1314y1p7Sx\r\n",
      "BV1fK41197a7\r\n",
      "BV1UM41167rB 5\n",
      "保定人：6 3\n",
      "今年最好别回老家过年 2\n",
      "[阴险]委婉 4\n",
      "现在连网课都上不了了，老师都得病了[无语] 2\n",
      "同河北，已经准备12号开学了[doge] 2\n",
      "回复 @72196844010_bili :唉民村大部分老人小孩比较多 2\n",
      "回复 @浣熊实习生 :你只是周围的人素质良好，一般也注意防疫 2\n",
      "回复 @你变秃了吗 : 邯郸，好像只有高三开学，封校一个月，直接上到寒假 2\n",
      "主要咱们人口密度大人口流动性强[口罩] 2\n",
      "邢台，真是一个令人温暖的城市[微笑]虽然暖气不热，但是人均体温高啊[无语] 2\n",
      "主要国内人口密度太大了 2\n",
      "好客山东，热情河北[热] 3\n",
      "对不起，我不是保定人，给保定防疫添麻烦了[大哭] 2\n",
      "38. 4\n",
      "6 5\n",
      "保定：热爱38.6度的你…… 3\n",
      "总有人自私自利还喜欢往自己脸上贴金[摩羯座_生气] 4\n",
      "总有人自私自利还喜欢往自己脸上贴金[摩羯座_生气] 4\n",
      "唉，爸妈是老师，现在要全面线下，每天在学校接触那么多各方的人，太担心了 2\n",
      "确实幽默[doge] 4\n",
      "临近考研，身边人都阳了，我现在都有点绝望了，我自己一个人在屋里不出去了，吃饭都是家里人戴口罩给我送门口 2\n",
      "回复 @好大一颗甜菜呀 :去网上买75度医用酒精消毒水送喷壶 2\n",
      "但是学生是真的难受啊，学校还没有住宿条件，不能全封闭，坐标广州一放开周围邻居都感染了，学生真的很怕生病，这个时候快期末考了，一旦阳了就算只用发个烧两三天就好了，学校也不让发烧的上学啊，在家里待一周耽误进度，更别说之后的抵抗力下降这些的，在学校这么多人吃饭这些真的很容易流窜过几天又复阳[大哭]像我妈妈本身有心脏问题免疫力也不太好的我都不敢让她出门了现在，出门快递买菜这些我能去就去，从自私上面讲我是一点都不想放开，虽然出门查码三天两检很麻烦，但是突然一下子就放开的真的很猝不及防 2\n",
      "班主任一家子都阳了，还说要开学了（石家庄白学了，我们也快开了），要回来给我们上课哈哈哈哈哈哈，我们这边有一所高中都成隔离点了，还开p的学哈哈哈哈哈哈 2\n",
      "我小时候脑子很灵活，大了就反应慢了很多，我妈就说我小时候经常发烧烧傻了[笑哭][笑哭][笑哭] 2\n",
      "这几天马上都考研了，研究生也一样难 2\n",
      "今年保定得省多少暖气费啊[doge] 2\n",
      "我天天上网课，家门都没出过，依旧中招[微笑] 2\n",
      "6 5\n",
      "好客邢台，怕冷你就来[喜欢] 3\n",
      "回复 @无聊的87 :辛苦了[笑哭]保定这一闹多少网课人无辜躺枪 2\n",
      "保定暖气就没热过 2\n",
      "杨过、杨康、王重阳 4\n",
      "热爱105度的你。 4\n",
      "我们村还真叫阳村 2\n",
      "很可能[喜极而泣][喜极而泣][喜极而泣] 4\n",
      "没事，你来别的市逛逛，邻居都在，只不过都是阳性[脱单doge]，我们家想做个核酸看转没转阴，社区说你们自己出去做，这是真不怕传啊 2\n",
      "可能阳了，目前等试剂盒自测。家里我和我妈中招了，我有心做好防护，可惜两位家长不当回事。我很生气，这真的是对自己对别人都不负责。我不知道该怎么办，我因为特殊原因暂时没上班，手里的钱交给我妈了。前不久做了手术，存的钱都用上了。现在没钱，家长不当回事，连消毒液都不买。就一瓶酒精喷壶，我就觉得生气和无力。知道我爸说什么吗？我问他是不是还要上班，他说是。我说那你还和我妈待一屋还不戴口罩。他说都睡了一晚上了，要阳早阳了。（早上他测是阴）我说他不做防护，迟早中招，他说他现在阴的就要去上班。那等他真阳了，他同事不就是大冤种吗。真的极度不负责，对他同事，对我们邻居。啊啊啊，越想越生气。看看还是得经济独立才行，等手术恢复好了我马上去上班，没钱就没有话语权。 2\n",
      "我妈嫌弃我太紧张，症状不严重也要做好防护吧？？！传染给别人，重复感染怎么办？他们真的天天听那些轻松化的言论，我都无力吐槽。 2\n",
      "回复 @关键很关键 :就我日常生活交集的圈子，一直阴的，三岁小孩都会数 2\n",
      "38.6[嘟嘟] 5\n",
      "回复 @玄武778899 :如果能考上的话，我尽量[大哭]我们学校旁边房租很贵 2\n",
      "6 5\n",
      "回复 @jojo上大学 :不是专业人士，你是说那种戴头上的面罩吗？我都是用完里里外外消毒，如果去很高危的地方建议一次一个。 2\n",
      "身在保定，如果你身边没有阳性的朋友，请考虑是不是你的社交能力出问题了[脱单doge] 2\n",
      "6 5\n",
      "考古 3\n",
      "[支持][支持] 5\n",
      "回复 @瑶瑶不次小孩 :早日康复哦[爱心] 2\n",
      "[打call] 5\n",
      "[拥抱] 5\n",
      "6 5\n",
      "回复 @怀川夕 :那年我高考那两天发烧[妙啊] 2\n",
      "回复 @不努力就得搞化学 :对，除非亲近人遭殃，然后求爷爷告奶奶 2\n",
      "[无悔华夏_点赞] 5\n",
      "答辩少年团 4\n",
      "我爷爷行动不便长期居家都阳了，照顾他的护工以及跟他一起住的亲戚现在全都在发烧，关键是他们除了买菜这段时间基本不出门，这玩意传染性是真的强[无语] 2\n",
      "刚开始的音乐叫什么名字啊 5\n",
      "您是谁 5\n",
      "对象还可以这样，但是爸妈真的没办法[大哭][大哭] 2\n",
      "回复 @前面的别不好意思 :我就希望考完再🐏 2\n",
      "up很认真，有那种非常优秀的理工系男生的特质，细心又严谨，人类之光啊，一定一定要活到最后 2\n",
      "[哦呼] 3\n",
      "[打call] 5\n",
      "盐水被平反了吗[无语] 2\n",
      "直接用生理盐水方便 2\n",
      "你们真的认识张伯礼院士吗[doge] 4\n",
      "不仅仅是小孩老人，还有医务工作者，他们真的是反反复复感染，带病上班 2\n",
      "这就有效了？院士如此之严谨！ 2\n",
      "非典那年我中考，我可以十分确定告诉你，非典那年囤的是板蓝根[妙啊] 2\n",
      "6 5\n",
      "我想哭，，，我的十一岁小妹阳了，，就在刚刚，，我现在发着抖发这个，家里人因为做小生意住在店里，对这个没概念。我说要把我妹带回家单独一个房间隔离，他们说没有时间照顾她，我也要去上学，现在学校提前离校了，我要去照顾我妹，，我现在真的好难受，，我的妹啊，， 2\n",
      "那总得给点寄托吧，毕竟中招只是时间问题 2\n",
      "6 5\n",
      "6 5\n",
      "遥想2年前懂王一句 喝消毒水 2\n",
      "回复 @乡下的青年 :真的好想找一些也是这样防疫严格的小伙伴一起住[笑哭]家里人都开始躺平了 2\n",
      "我女生，两年前就剃了光头，因为每次回家给头发消毒洗头真的太烦了[热]现在戴假发出门，回家摘下来喷一喷消毒水，再往消毒水盆里一扔，超方便 2\n",
      "印象中，这个方法非典时期好像也出现过，然后不是说是造谣吗？？ 2\n",
      "[打call] 5\n",
      "而且现在又快过年了，到时候好多人返乡，到处走亲戚家串门，怎么防啊，我倒是想拦着不让进门，可我爸妈肯定是不会同意的[辣眼睛] 2\n",
      "6 5\n",
      "6 5\n",
      "初中时前后左右所有同学都感冒了就我没，我得意到现在呢[呲牙] 2\n",
      "回复 @千玥er :不要回家[笑哭]我已经在商量明年开春在回去好了 我们那小地方 很多人都在北京工作 我真是不敢想[微笑] 2\n",
      "你这么多视频是把疫情热点玩明白了 2\n",
      "别说上了年纪得了，我们大学生一堆肺结节、乳腺增生、肠胃炎，有的只是自己不知道而已 2\n",
      "回复 @legendcitizen :看看我地址变化[笑哭] 3\n",
      "万方或知网搜《鼻腔盐水冲洗预防新型冠状病毒感染专家共识》 2\n",
      "戴的不够紧[doge]这就是为啥医护脸上都有印子了 2\n",
      "我鼻子太塌，下巴还还前伸，根本戴不严，还不如两层普通口罩严实[大哭] 2\n",
      "头发本身也会沾染病毒 2\n",
      "家里如果只有我一个人，我能做到，但是住三四个.....我真的很心累.....说不动 2\n",
      "省流，带好口罩，一周康复 2\n",
      "年轻人，做好个人防护，备好常用感冒发烧药，问题不大，别慌张。 2\n",
      "谢谢你，省流侠[doge] 4\n",
      "省流：自我防御不松懈，感染以后不用慌 2\n",
      "家人不听你的真的是最头疼的事 2\n",
      "回复 @为何修改昵称 :我认识的十几个阳性和我自己都有嗅味觉失灵或缺失问题 2\n",
      "回复 @-duck :[拥抱]祝你们家都能安稳度过，还是要找些措施让自己尽量不感染 2\n",
      "回复 @爱猫无猫 :有的疫苗三针是普通的，第四针加强针 2\n",
      "真的感谢国家这三年的守护，不然前面全面感染的话不知道要死多少人。 2\n",
      "6 5\n",
      "回复 @小鹿明_ : 不怕的建议去治脑子，但是也不用太怕了，现在不少“后遗症”都是心理问题 2\n",
      "我现在孕晚期，群里几个月份差不多的准妈妈不能说慌的一匹，但也都明显有些焦虑，一旦中了招自己倒还好说，就是怕肚里宝宝跟着遭殃。前两天网上和一个鼓吹口罩都不要戴的二百五怼了几句还被人骂，我寻思着我自己不想得病不想家人得病不想宝宝得病我到底碍着谁了[委屈] 2\n",
      "我内心还是对可能感染有种难以名状的恐惧，不是怕自己难受，是家里的父亲有严重的肺炎历史，肺部纤维化严重，我觉得要是因为我感染了，害他病了，真的是罪大恶极，那种心理上的负担很重 2\n",
      "感觉放开最苦的就是学生，以前没戴口罩可以在教室刷题，现在上课戴口罩下课必须去透气，不然一堆乱七八糟的污浊气体在教室里面下一节课状态都会不好[笑哭] 2\n",
      "6 5\n",
      "你不学不用也没人管你，天天瞪着眼耳朵竖起来就为了找个地方插嘴也是难为你了 2\n",
      "……这tm不是初高中常识吗 2\n",
      "6 5\n",
      "会没事的，照着成功的up做，冷静一点，妹妹还需要你照顾呢，自己不能先慌 2\n",
      "回复 @Valentin_Mashvik :我们这些没有基础病的人，都难受的要死。你有基础病的情况下，我简直难以想象[无语]，甚至可以直接去医院了 2\n",
      "疫情在香港三年最近回家了，暂时没感染过，疫情最严重的时候在学校宿舍还是整层楼一起用的公共厨卫浴空间，洗衣房是一整栋宿舍楼(13层)共用的，楼上楼下有过确诊的，当然后来宿舍学生跑了不少所以安全了些，年初打完三针，三年来一直在外都是戴着口罩，而且无论疫前疫后，如果空间小，我从外面回住所后衣物一定会马上更换消毒的，居住空间大可以分开活动区域，厕所用完就盖好，在香港的时候我比较少堂食，一般都买回家微波炉再加热后吃。(只是我的个人习惯) \r\n",
      "\r\n",
      "如果在外面大家都戴口罩的应该会好些，医学口罩确实不能完全防病毒，hk年初疫情的时候，有个朋友去给一家人都阳了的朋友送物资，就站在门口，但那一家人在吃饭，都没戴口罩就开门了，朋友回宿舍后就感染了。 2\n",
      "别说是初中高中，你就随便科普点一般常识，都能引出一万个杠精，从各种奇葩角度硬要证明你是错的[滑稽] 2\n",
      "每天喝50度左右的酒可以预防新冠吗？我看长辈的微信群里有这样说的[tv_思考] 2\n",
      "要是IP是云南的就好理解了[呲牙] 5\n",
      "你小子完了，我已经向圣诞老人许愿要你手脚，我一直是好孩子，圣诞老人一定会实现我愿望的😀 2\n",
      "人均普普 3\n",
      "这周五中招的路过。可能因为是小孩？我只是感觉身上发冷，还发烧[笑哭]\r\n",
      "现在好多了，但嗓子又开始发干发涩（喝水不管用）。以前没觉得多恐怖，但现在是真的体会到这股难受劲，简直是难受到“骨”子里了（不是玩梗，是真的）[微笑]\r\n",
      "所以尽量别得[口罩][口罩][口罩] 2\n",
      "橘子水滴在试剂盒上 才两道杠 2\n",
      "我上有老下有小。你。你。你一放开我怎么带着小孩在家啃老呢？[滑稽] 2\n",
      "已经有文献证明用盐水洗鼻子有效果了，这么多人跑这来笑话院士？ 2\n",
      "在三十八度六 4\n",
      "普通人的想法是，能不生病就别生病，健健康康平平安。一定要保护好自己。任何病。 2\n",
      "我妈被领导洗脑了，相信了早阳早好。幸好又被我洗脑回来了，还是少感染晚感染好的 2\n",
      "宝有潜伏期的，至少你不会在考场上感染就立马有症状的，所以不用担心啦 2\n",
      "所以我现在独居，跟爸妈分开住了！ 2\n",
      "希望不要再有人吃6个馒头吃饱，说前五个白吃了 2\n",
      "不理解现在网络上为什么这么多二极管，不用害怕这个病，因为现在确实重症率很低了，但是做好防护，尽量晚得少得，有这么难理解吗[微笑]现在好多人都好极端 2\n",
      "门缝，吃饭交接，垃圾，排泄物均可能传染其他人 2\n",
      "唉，从有些谣言的流传性来看，确实是有不少人九年义务教育未完成或只是走了个过程[笑哭]，还有更多人不了解高中基本知识[笑哭][笑哭][笑哭]。感谢up主 2\n",
      "回复 @千玥er :人都是不疼一下不会长记性的，劝没用我父母跟你一样，反正听天由命身体差的轻减智商重吃好喝好， 2\n",
      "自从上高中之后没早睡过，而且晚上夜里学习效率特别好[笑哭]格外喜欢夜里活动 2\n",
      "回复 @我是小妖怪 :我家人也中了，多做好防护吧，不是也有不少在美国的3年到现在都没感染的，就是平时多注意。 2\n",
      "好早之前看到有学法的姐妹感染前记忆力超好 感染后就记忆力下降总是记不住东西...所以嚷嚷着小感冒的人是什么心理... 2\n",
      "别去看老人就是了，我俩现在都发烧了，上个月底把孩子送她姥姥家去了，就在也没去过，上午给孩子送衣服，都是在大街上消毒，不进门的，力所能及 2\n",
      "和老人同住的更要注意 2\n",
      "我也是，我家一个老人糖尿病什么的各种基础病，一个是癌症病人，虽然开膛破肚的做过肿瘤手术但是从此身体不是一般的差随时复发可能性很高而且因为身体太差没打过疫苗，还得过肺病肝也不好，最怕他们中招了…[大哭] 2\n",
      "我家里也是两位老人，而且我妈是医护人员，我是学生，我们学校没有食堂，都聚集在教室里吃[辣眼睛]每几天都要去外公外婆家送一次菜，真的不知道怎么办好[大哭]我每天都担心家里人会得新冠 2\n",
      "6 5\n",
      "尽量延缓中招的时间，戴好口罩可以防止二次中招，英国（除威尔士）前期口罩令，二次感染一直在百分之零点五以下，不强制口罩后直接飙到百分之五以上。 2\n",
      "有人提到了头发上粘病毒的事，我头上有皮炎，不能每天洗头，但工作岗位又是在人很多的室内，除了经常开窗通风和喷洒消毒液，头发要怎么防，难道戴帽子吗？但是工作岗位又不能带。 2\n",
      "之前有几个案例是性感染者吐了口痰，有人不戴口罩经过中招的 2\n",
      "我主要是害怕家里的老年人[灵魂出窍] 2\n",
      "回复 @王铁丸丸 :还有人不长脑子说“钟南山为什么不早说”，我真的很好奇他们把初中学的生物学尝试就着什么吃了？ 2\n",
      "回复 @小绒栗栗 :你可以搜搜日本的超额死亡率 而且日本ICU人均拥有量是我们的两倍 他们出现过医疗崩溃的情况 所以自己能小心就尽量小心 2\n",
      "回复 @总是管不住嘴嘴 :浓盐水会破坏黏膜的[辣眼睛] 2\n",
      "公司一把手通过各方面消息汇总后，通过秘书办发文称：预防是关键，方法大体如下\r\n",
      "喝姜+带毛的葱熬水！\r\n",
      "喝茶水！\r\n",
      "用热的（饱和）食盐水漱口！！\r\n",
      "     我了解了一下，常温下一公斤水能溶解360克左右食盐，不知道热的饱和度是多少\r\n",
      "另外，科学吗[吃瓜][吃瓜][吃瓜][吃瓜][吃瓜] 2\n",
      "经过这几年我对人性真是有了更深层的认识，人云亦云、情绪驱动、不可理喻。 2\n",
      "《废话文学》 4\n",
      "最可气的是家人不重视，周围人不重视，一个人重视有什么用，真的很无力[无语] 2\n",
      "我还是异地考的，再过几天就要回去了，我怕我在途中就中招了[大哭][大哭] 2\n",
      "回复 @果物的壳 :注意安全啊，我是医生，每天被这个搞得很焦虑。月底还要考试真的不知道怎么办 2\n",
      "……我实在想不到办法，如果你要是考研的话建议看看有没有玩的好的朋友宿舍有床位去他们寝室借住一下，要是只能在宿舍待着那就多喷点酒精消毒液吧[辣眼睛] 2\n",
      "[辣眼睛] 4\n",
      "我感觉国外的同学普遍在说症状不重，我要提醒一下国内的各位，想想你自己距离上一针疫苗接种已经过去多久了？据我了解，我那些国外同学距离最后一针最多也就三五个月就感染了。就抗体水平而言，如果你的症状比他们重，那太正常了。而且德国的同学说他们只要距离上一次接种超过三个月就可以自愿加强一针。身体弱的一定要保护好自己，我本人第三针已经打了快一年了，现在感染的话不出意外是嗓子巨痛加高烧，我现在非常希望有第四针 2\n",
      "演的可以 4\n",
      "万方或知网搜《鼻腔盐水冲洗预防新型冠状病毒感染专家共识》（这是其他楼的一条评论，可以看看） 2\n",
      "我记得up当时坚持了一年没被感染，是因为认认真真做防护，上课坚持戴口罩，被别人嘲笑也不摘！\r\n",
      "不幸中招是，因为回家路上好心买了一个老公因新冠去世了独自带着女儿卖气球的单身妈妈卖的气球！\r\n",
      "我印象还挺深的！ 2\n",
      "回复 @AntrunOo :保定真的只有20%的人没有得了，我加了保定一个医院的病友群真的天天都在讨论发烧了怎么退烧，幸好我平时比较宅又是在农村，成了那20% 2\n",
      "回復 @朝念韶岁 :对于没有患过病的患者来说我会建议尽管按照自己想象最差的情况去防护，这样到时候不感染最好，真感染上了你也不会觉得后悔“当初我为什么没有做好一点”。\r\n",
      "\r\n",
      "但感染的时候也别慌，保持乐观是最重要的，别整天听嘴上不积德的人整天叭叭“完了完了你要死了”…阳性一次不会死，两次也不会。很多人活的好好的照样完成学业照样绩点过3.7。多喝水累了多睡觉，缺的课和老师汇报等康复了再补上。 2\n",
      "回复 @muydespejado :有网友分析那个气球可能是那位单亲妈妈拿嘴吹的，外面消毒了也没用啊！[笑哭] 2\n",
      "我跟孩子去文具店，旁边相熟的书店老板要我们快跑，她发烧了。回来果然得了。现在一家人躺床上……我就不明白你不舒服还开店是要作甚！ 2\n",
      "微博上说大记者都可以直接去医院，药品管够\r\n",
      "不用在家熬着\r\n",
      "是真的吗？ 2\n",
      "我不确定你受没受过教育，如果没有的话比较难说。如果受过的话，应该知道有一种情况叫做可能有一点效果，也可能没效果，因人而异，因情况而异。这种情况下医生不说就是耽误治疗，但是同时你也应该明白，这不意味着你必须去做。 2\n",
      "是的，日本都第八波了，而且死亡人数只增没减，结果有些博主发数据，一堆人却说他制造恐慌[辣眼睛] 2\n",
      "确实，太担心家里老人了 2\n",
      "考古 3\n",
      "我踏马辞职在家，一般不出门，放开之前，三天一检，这才放开几天，我感觉我好像中招了，不严重，就是感觉有点烧，嗓子干，没力气，想睡觉，不痛不咳嗽[辣眼睛] 2\n",
      "都结束了，我的大学生活也终于正式开启了[星星眼] 2\n",
      "因为考研躺床只能让父母帮我读专业课背诵内容，今天在京东预约新冠抗原检测，看到时间后预约了，但是明明是12点开抢，我定成了12：08的闹铃，我严重怀疑我的大脑变傻了 2\n",
      "回复 @植发救不了她 :我也容易被人传染[辣眼睛]高中我们班的水痘我就是第一批[捂脸]咱们这样的多注意防护，维生素茶水什么的积极预防，少熬夜保证抵抗力，看国家下一步有没有第四针疫苗的计划 2\n",
      "我家也是，外婆头痛咳嗽，外公发烧了，我妈说流感不用测，测了是阳了也没用，我说可以用防护措施在家隔离，她觉得这样伤感情[微笑] 2\n",
      "都结束了，我的大学生活也结束了[星星眼]，要考研了[星星眼] 2\n",
      "考研人封闭一年了 基本不活动  我感觉我身体已经步入老年了 很担心到时候去考场有阳的[热] 2\n",
      "回家先带着口罩喷酒精然后再摘掉? 2\n",
      "回复 @西白啦噜 :虽然我个人认为迟早都得阳这句话是有道理的，但是阳了以后，用“迟早都得阳”这句话当作借口，不采取隔离措施，不顾他人生命健康安全，这样做是绝对不可取的[拥抱][拥抱][拥抱] 2\n",
      "[笑哭]我都不知道我考研该咋办了……也不知道有什么政策，但那么多人聚在一起我心里就慌。而且我考场离得远，还得在考场附近订酒店。我现在基本上默认，去考研我必然要中招了 2\n",
      "Bgm ：明明是青鸟飞鱼的《此生不换》 5\n",
      "我辛辛苦苦苟了三年 真的不想被传染啊 2\n",
      "一放开马上学校沦陷了，我放开前一天跑的，想着家里农村应该没啥事，结果今天也沦陷了[热] 2\n",
      "回复 @湖里狐狸 :对，口罩都是双向保护，大家自觉都带口罩勤消毒，买不到N95，带医用外科也行的。 2\n",
      "感谢UP！！！！！已投币 3\n",
      "🇺🇸:你直接报我身份证算了 2\n",
      "有的不是演的[笑哭] 4\n",
      "http://dx.doi.org/10.14166/j.issn.1671-2420.2022.04.001\r\n",
      "抖机灵不如查文献 4\n",
      "http://dx.doi.org/10.14166/j.issn.1671-2420.2022.04.001\r\n",
      "跟一个链接 4\n",
      "看IP，我选择不信你[吃瓜][嗑瓜子] 4\n",
      "回复 @三刺猿人 :请问保定真的很严重吗，我十天后要去市里考试，还要住酒店，会不会感染啊[跪了] 2\n",
      "长沙还是有很多人不戴口罩[怪我咯]特别年纪越大越不戴，还带着小孩搁哪玩，小孩也不戴[怪我咯] 2\n",
      "[doge] 5\n",
      "[妙啊] 5\n",
      "若干年后再看吧…… 4\n",
      "看到大家都警惕就放心了，要是像霉国那样都觉得只是小感冒的话才危险 2\n",
      "9 4\n",
      "9 4\n",
      "bgm 偏爱哈哈给哈哈哈 5\n",
      "我记得有刑事的，那可不一般 2\n",
      "[吃瓜][吃瓜][吃瓜] 4\n",
      "亲生的 多少带点血缘关系 4\n",
      "我相信国家的判断，认可国家三年的保护，但我认为更应该完善相应的政策。 2\n",
      "自己的家人怎么可能会这样，要是感染隔离，正常的都是关心和天天做好吃的。 2\n",
      "自己的家人怎么可能会这样，要是感染隔离，正常的都是关心和天天做好吃的。 2\n",
      "关于饮食，我感觉准备一次性碗筷，吃完就扔，消毒太麻烦了 2\n",
      "村子里这样也能理解了…我女朋友之前回去过年因为是小地方没啥感染者因为是从国外回来被各种针对[笑哭][笑哭] 2\n",
      "两年前就有被针对的，武汉湖北居多 2\n",
      "遭罪[笑哭] 4\n",
      "看这么多我只想哭真的是笑着哭[笑哭]从19年上前线抗议受人尊敬不敢跟家里说到后面防疫被人处处刁难，到6号全面放开8号我就确诊阳性[辣眼睛][大哭]这三年了过的都不容易啊[大哭][大哭] 2\n",
      "我的大学已经没了[大哭][大哭][大哭][大哭]四年大学就这样没了[大哭][大哭][大哭][大哭]有谁比我们19届大学生惨[大哭][大哭][大哭][大哭] 2\n",
      "我刚收到通知因为疫情全体学生必须戴口罩上课，你们就搁这解放了?[辣眼睛] 2\n",
      "有谁比我们15届武汉的大学生幸运啊[妙啊] 2\n",
      "不许出门？我公司老板娘喊我们要坚守岗位，今天请了一天假，明天一堆阳性去上班，直接成了羊窝了[笑哭] 2\n",
      "就这样放开了。当时做志愿者的苦和累。现在总是感觉怪怪的[辣眼睛] 2\n",
      "舍友妈妈阳了跑了两条街去买药打算寄回去，好朋友也在准备，买不到药的情况下都优先给家里送去，另一个好友的爸爸阳了，本来在学校做实验，直接回去照顾家人，当然也避免不了阳。\r\n",
      "我们都不怕阳，只是不愿意家人阳。 2\n",
      "【张伯礼院士作客天津大学空中讲堂-哔哩哔哩】 https://b23.tv/BXX1GYB 3\n",
      "回复 @龙猫家的龙 :各种老人家都让人头疼…要么就是怕的要死，怕到神神叨叨，小区里有个密接就要心脏病了。要么完全不怕，天天跟附近的老头老太聊天打麻将，口罩都不带。 2\n",
      "说的好 4\n",
      "有的，可以查原文 5\n",
      "笑着笑着就停下了，疫情大学两年多时光，几乎没出过校门，明年要去工地实习了...唉，只希望疫情可以早点结束吧[口罩] 2\n",
      "一样 4\n",
      "一样 4\n",
      "应该是读大学放假了回去  然后按照之前没放开的政策可能需要居家隔离之类的吧 2\n",
      "回复 @我叫韩尚尚 :16届的刚好过完大学生活，毕设和论文答辩都是在家里弄的[doge] 2\n",
      "认识 4\n",
      "我室友从小到大没得过什么病，她看得真的很开，虽然清楚危害，但也不耽误准备考完研去玩。我是得过肺炎鼻炎，每次感冒都是咽喉开始的，喝了三年中医才把身体调理好，本来还纠结考完研啥时候走，听她这么一说我立刻决定第二天最早航班回家[囧] 2\n",
      "6 5\n",
      "[tv_doge] 4\n",
      "我听我妈说，非典那年，像酱油、醋这些玩意都炒得飞起[笑哭] 2\n",
      "身为一个初三牲 我并不担心阳了之后的身体问题 而是潜意识里会蹦出来后遗症大脑萎缩本来脑子就不好以后怎么读书[微笑][微笑][微笑][微笑]相信大家也很多是这样[妙啊][妙啊][妙啊] 2\n",
      "唉，就因为放开了，已经阳了，现在人从学校回来了，[捂脸] 2\n",
      "依托答辩 2\n",
      "6 5\n",
      "一次性浴帽？ 2\n",
      "没读过书的人[脱单doge] 4\n",
      "辛苦了，这三年医护和基层是最忙的 2\n",
      "[拥抱][拥抱] 5\n",
      "找到你了[拥抱][拥抱] 5\n",
      "我奶奶也是，基础病，直接就没了，好在没有任何痛苦 2\n",
      "你这算好了，家里父母有医生的，根本躲不掉 2\n",
      "回复 @七星之棒 :买个洗鼻壶再来两盒洗鼻盐呗，他这个办法一般人学不来 2\n",
      "为什么冬天开放呢，冬天不正式那玩意活跃的时候吗[笑哭] 3\n",
      "好！ 3\n",
      "热知识:c19是乙类传染病 2\n",
      "不能再同意了[藏狐] 4\n",
      "关键这比例不好掌握呀，一杯水放多少盐呢？500毫升的水放多少勺盐呢？百分之几百分之几的，很多普通人是不能够直观 2\n",
      "关键这比例不好掌握呀，一杯水放多少盐呢？500毫升的水放多少勺盐呢？百分之几百分之几的，很多普通人是不能够直观 2\n",
      "一样 4\n",
      "就算是中介也无所谓，只要稍微查一下就知道现在不是工作签基本出不去，移民难度更是高的不行 2\n",
      "没啥怪的，反正我是非常感谢志愿者，医护人员这些人，护了三年。但一直这样下去不是个事儿。 2\n",
      "乙类甲管2020年就确定了 2\n",
      "[doge]ing 5\n",
      "[doge][脱单doge] 5\n",
      "[脸红] 4\n",
      "@北冥屿秋- ≥﹏≤ 3\n",
      "好 3\n",
      "回复 @顾北嗯嗯 :[捂脸]我也是19年冬天快期末的时候得了重感冒，具体来说是流感，因为之前没有任何症状，浑身乏力接着就是发烧，反复好几天，伴随嗓子疼各种难受，考完试回家又吃药5天症状才减轻。最近的一次生病发烧就是得水痘反复发烧三天，生病才知道一定要增强免疫力，病毒无孔不入。 2\n",
      "唉，我外婆现在还在医院呢 2\n",
      "你扛得住不代表你的孩子，父母扛的住[呆]还是要注意防护，要不然你感染了家人也遭殃 2\n",
      "我现在就阳了，虽然不太严重，还是在家隔离。什么都要年迈的父母来照顾。也不能去上班，也没收入，好郁闷啊！ 2\n",
      "可是我考研就10天了啊 2\n",
      "6 5\n",
      "以前在教室上网课[笑哭] 2\n",
      "姐姐，b站有人搬运你的视频：小芳威尼斯生活。 4\n",
      "好多懂哥[星星眼] 4\n",
      "意大利医院需要戴口罩是因为默认是病人，不戴口罩就是健康的人[doge] 2\n",
      "注意主语🤡 4\n",
      "依据我国相关法律的规定，故意传播传染病或者性病的，会构成妨害传染病防治罪或者 传播性病罪，要追究其刑事责任。 2\n",
      "一闪而过的《文爱》 5\n",
      "人口密度不一样哎 我现在烧到39度难受死了 2\n",
      "回复 @bili_20031209141 :我婆婆就是这样，我和公公劝她注意防护，最近周边的人很多都阳了，我婆婆就说谁谁谁都阳了，就小感冒一样，第二天就好了，还说什么所有人都会阳，早点阳了好，有抗体，我们劝她还是能不得就不得，该防护的还是要做好防护，我儿子才八个月大，没打疫苗，就算是小感冒小发烧，得了也很难受的，大人也要跟着遭罪，整晚整晚哭闹，很难带的，我婆婆就在那笑，说我们不要过分恐慌[捂脸] 2\n",
      "人口密度不同，唉 2\n",
      "回复 @bili_441447226 :那就要去医院查查是不是精神方面有什么问题 2\n",
      "其实就是尽力呆在家里，大部分感染的人都是因为上班，挤地铁[大哭][大哭][大哭] 2\n",
      "40欧的暖气费确实难绷 2\n",
      "回复 @不想走花路 :我去药店都买不到了生理盐水[辣眼睛]家里人刚🐑 2\n",
      "小心，我在知乎上面看到很多小号，自称是高月龄孕妇，到处说自己得过，没事的。点开主页都是不正常的记录，只有提问没有回答。 2\n",
      "我家也是，关键我爸还七老八十了 2\n",
      "还有KN95，2626开头的那个呢？ 5\n",
      "家里孩子阳了。孩子是20年2月出生的，记得这三年和他说过最多的一句话就是，等外面安全了，一定带你好好出去玩。这一年，就几乎没敢让他出过小区，连离家200米的商场游乐场都没敢让他去过，可是最后还是被传上了，他还没到三岁，连疫苗都没打过，就被传上了…… 2\n",
      "在留学，有一阵子隔壁班不少阳了，去上课的时候升级成了带N95，有几天就把口罩带绑在马尾辫上了，那几天感觉口罩贼严实，大家还是要带好口罩，这东西传播速度真的太快了 2\n",
      "2年后再看评论区[热] 4\n",
      "不是卢布？[tv_doge] 4\n",
      "6 5\n",
      "两个都可以，不过19083的特定条件下更好一点 4\n",
      "拾辩二像性 4\n",
      "所以他觉得上网可以挺好的，可是后面发现好多人都得了阳性，直到最后我家直接全家桶 2\n",
      "有啥好笑的 朝鲜的防疫非常科学 2\n",
      "这种答辩这么早就有了 2\n",
      "现在急诊大概每天有多少人啊[口罩] 2\n",
      "https://b23.tv/O9vtkMT 4\n",
      "《空气传播》 5\n",
      "我一般直接让他们在政务中心实名提意见，不要无能狂怒[笑哭]然后群里就安静了 2\n",
      "[doge] 5\n",
      "插眼 4\n",
      "孙老师瘦了 2\n",
      "你们急诊都穿防护服了吗 我们这里急诊都不给穿的 \r\n",
      "阳性区就穿个隔离衣 医院是在等着我们医生全阳啊 \r\n",
      "我们医院已经阳了好多医生了 我觉得我们没有装备\r\n",
      "阳是迟早的事 觉得好绝望啊 2\n",
      "不要忘了，有的人可能还会留下后遗症，严重的丧失味觉的好吧 2\n",
      "有些人素质极差 得了就不带口罩了 甚至故意在别人旁边擤鼻涕 吓死人的 2\n",
      "我也想问问[笑哭] 4\n",
      "知名专家？是姓：知？名：名？ 4\n",
      "[doge]   同款 4\n",
      "你遭了，身边大部分是这个症状 2\n",
      "https://b23.tv/BV1bG4y137Vf 4\n",
      "我们医院胃镜室医护已经全体中招关了 2\n",
      "我们医院胃镜室医护已经全体中招关了 2\n",
      "我们的环卫工人连药都买不起[微笑] 2\n",
      "坐标湖北十堰，大街行人非常少，全员口罩！ 3\n",
      "有，就不错了[doge] 4\n",
      "我一面严阵以待，家里人却是云淡风轻，好象就我一个人小题大作，一个一个，看我的眼神好像看到小女孩怕虫子那种轻蔑。 2\n",
      "通风30分钟。 3\n",
      "我们学校也是，直到所有老师全羊，还得继续上班 2\n",
      "回复 @鞋湿了我的天 :两岁孩子抵抗力强？这是已经烧糊涂了？ 2\n",
      "2626-2006的kp100呢？ 5\n",
      "39孕周的我核酸阳性 2\n",
      "39孕周的我核酸阳性 2\n",
      "39孕周的我核酸阳性 2\n",
      "39孕周的我核酸阳性 2\n",
      "只要去上班肯定会感染，回家肯定会传染给老人孩子，怎么防？除非一辈子住酒店，现实吗？ 2\n",
      "我孩子刚满月，孩子打疫苗需要48小时核酸，但它72小时出结果，疫苗打不上，孩子更不敢抱着出门，除了新冠，孩子面临的疾病太多了，任何一个病都是挑战，家里老人心功能减退，高血压，唉，真的是头大 2\n",
      "很熟啊 4\n",
      "洗手，洗脸，清洗鼻腔，外衣，紫外线灯一小时各房间轮流，加湿器。 在家吃好睡好多休息。 2\n",
      "我记得20年就科普过口罩不能带两层[笑哭] 2\n",
      "[拥抱]节哀。。。 5\n",
      "【喉咙疼、头疼、周身疼等症状，中医推荐按压穴位缓解，“对小朋友效果显著”。-哔哩哔哩】 https://b23.tv/D6KAV9H 2\n",
      "我外婆84了，我不怕，她要是得了咋办？ 2\n",
      "最最懂你心的UP课代表来啦！???\r\n",
      "\r\n",
      "正确的佩戴N95口罩，才能更有效的防护自己，健康最重要！ #口罩防护 #全民防疫\r\n",
      "\r\n",
      "目录✨✨✨\r\n",
      "?普通口罩和... 2\n",
      "现在这情况你还去电影院看阿凡达？[笑哭] 4\n",
      "得多孤家寡人才会说别人是老孩侠？ 2\n",
      "我和老婆一起阳了，在家4天了，孩子还要吃饭上网课，硬撑着照顾孩子，还好孩子懂事，还好孩子应该是无症状[捂脸] 2\n",
      "说的太好了[大哭] 4\n",
      "咱俩情况一样，今天直接请假。我姥姥88有基础病，我能咋办。哎 2\n",
      "最新消息:\r\n",
      "       西安市12月17日零时起所有医疗机构门急诊取消核验48小时核酸（风险较大的科室防控政策由各医疗机构自行确定）【消息来源: 西安疾病控制(公众号)】 2\n",
      "我这三年加起来起码做了差不多一年的志愿者了，我感觉真的有点心酸 2\n",
      "回复 @大的药来了_ :有的，还有那个不是叫唐城墙遗址公园嘛 3\n",
      "回复 @暂寄梅林清绝处 :卧槽[热词系列_知识增加] 3\n",
      "社区问一下，老人孕妇社区还是要重视的 2\n",
      "回复 @烟雨寥落天星 :我这里不隔离了，医护如果症状不重就直接去阳性病区工作[微笑] 2\n",
      "我希望你心口一致，积极去出去工作消费，别缩着 2\n",
      "年轻人，你们应该是史上最没有校园生活的一届大学生！ 2\n",
      "我不怕阳，可是，家里上有老下有小，老人还有各种基础病，小孩小的才两岁多，我能怎么办？ 2\n",
      "这几年医务工作者真是不容易的。 2\n",
      "那是斗气[doge] 4\n",
      "学校根本不管你阳不阳，我们这儿一个年级阳了十几个都不给放，一共才三百多人。现在我在家头抽着疼了两天，啥药都不顶用 2\n",
      "头疼可以试试中医疗法？我记得有个视频教过 2\n",
      "大包，牛哇[滑稽] 4\n",
      "https://mp.weixin.qq.com/s/_Y3JOtvEeek_i72KY9VdLQ[口罩][吃瓜] 3\n",
      "回复 @烟雨寥落天星 :轻症继续上班，目前有的一线科室阳性率80% 2\n",
      "小区群里问一下有没有人有多余的药，善良的还是大部分的。 2\n",
      "今天一个孩子和我说：老师现在41.℃，看不清字了。。。作业后面补上行不行。唉。。。听着太心疼了，身体比什么都重要，已经生病的孩子们学习先放放，一定要保重身体呀。 2\n",
      "希望帮得到你[星星眼] 4\n",
      "给我佛烧点高香就可以让佛祖保你。 3\n",
      "回复 @DJ阿妮亚 :但是很多老人有基础病啊，尤其心脑血管疾病 2\n",
      "不是全面放开[doge] 2\n",
      "我阳了，今天打电话爷爷也有症状了（79），他和奶奶（77）两个人住，我爸送了一板布洛芬过去（我家一共只有一盒，两年半前买的，快过期了）真的很担心他们[委屈][委屈][委屈] 2\n",
      "回复 @卡球好木 :还好高温只持续了一上午，当时孩子烧迷糊了，现在烧退了家长说感官恢复正常，我教的都是中学的大孩子。。。小学、婴幼儿应该更遭罪。。 2\n",
      "6 5\n",
      "你还能代表知名？ 5\n",
      "身子骨硬朗 4\n",
      "我都带的单位发的劳保口罩，工业防尘口罩 2\n",
      "我今年大一，高三的时候21年12月的体检拖到了今年的3月8号，今年不知道会怎么样[口罩] 2\n",
      "没放开之前天天上班，攒了不少钱， 放开后立马辞职  天天不出门[doge] 2\n",
      "回复 @hpavl :[喜极而泣][喜极而泣]谢谢你，不过我担心他们是因为他们岁数大，又都有基础疾病，药我已经自己吃过了应该是有用的[笑哭]谢谢你[给心心][给心心] 2\n",
      "原来你家长在防疫的时候是可以上班的 2\n",
      "夏天再中暑了 2\n",
      "FFP2行吗，EN149:2001 5\n",
      "甚至建议就地过年（认真） 2\n",
      "因为欧美做事情有个原则，坏事做绝，好处占尽，可以参考的事情就太多了 2\n",
      "我在学校没羊，在返乡途中没羊，在家躲了俩星期羊了，现在第四天了[笑哭] 2\n",
      "求问一下，外衣怎么消毒呀 2\n",
      "我要不是在美国就被骗了😂 2\n",
      "胡扯。别造谣了。只是又开始提供免费的抗原快筛而已。 2\n",
      "哈哈哈，我和你一样，夏天还去甘南重庆玩了三个月，现在放开了，我却不敢出去了。 2\n",
      "[刺客信条15周年_失去同步] 4\n",
      "回复 @周预兆 :谢谢，也祝你身体健康，不过我也感染过了，我们学校在放假前就已经大规模感染，希望没有后遗症吧[拥抱] 2\n",
      "✓史 4\n",
      "西安找不到几个正常人了[笑哭]\r\n",
      "在学校被同学传染，回家又带给自己的父母\r\n",
      "所有学校（应该是）网课。\r\n",
      "要💊没💊，要抗原抢不到，做核酸七八十米的队。[大哭]只能在家等着把肺咳出来 2\n",
      "美国这是要点致死率了？ 2\n",
      "你没去过美国不懂美国医疗程序就不要胡说八道 2\n",
      "up家先阳 5\n",
      "阳了，就算康复以后工作咋办？还会有公司厂要吗？[大哭] 2\n",
      "[打call] 5\n",
      "细思极恐 4\n",
      "是的，成分复杂 5\n",
      "南山？ 3\n",
      "[打call] 5\n",
      "一拖答辩 2\n",
      "@清华大学 怎么说？ 2\n",
      "USA：早就写好了的老剧本总于可以用上了 4\n",
      "叫做几乎完美 4\n",
      "大悲咒每天7遍，很重要的 4\n",
      "我没羊也不出去呀 2\n",
      "[doge] 5\n",
      "6 5\n",
      "回复 @取个名字真难aaaa :你这不还连大学都没上吗 2\n",
      "免费吗，不免费我就不去了 3\n",
      "没听说有什么防疫通知啊。。。那个自测盒有保险一直免费来着，签证相关不了解不做评价 2\n",
      "无菌蛋原本就贵 2\n",
      "那IP就算真是在美国，难道住美国机场和大使馆？ 2\n",
      "这是要投波士顿大学新品种了吗 2\n",
      "https://b23.tv/BV1Dv4y1R7dw 4\n",
      "https://b23.tv/BV1Dv4y1R7dw 4\n",
      "https://b23.tv/BV1Dv4y1R7dw 4\n",
      "回复 @Nemo289 :看“看动态知成分”知成分 2\n",
      "起码免费有提供知道是阳了还是感冒 2\n",
      "你是不是对教师装有什么曲解？ 2\n",
      "[支持][支持] 5\n",
      "依托答辩 2\n",
      "钟 5\n",
      "6 5\n",
      "@纸鸢W 刘慈欣：6 4\n",
      "[小鲨鱼_震惊] 4\n",
      "瘟疫公司[doge] 4\n",
      "9天之后我来报告一下。我老婆女儿(不到两个月)在月子中心被月嫂传染了。月嫂离开我过去照顾。有症状开始第二天，老婆和女儿都高烧。女儿因为不到两个月新生儿，只能去医院。医生配了应急的退烧药，让回月子中心。 我第三天出现症状，这会儿高烧39度5左右暂时退不下来。 2\n",
      "阳了的高一牲，议论文本来就不会写，然后写一段脑子开始晕，睡一觉好了接着写，从中午写到晚上10点[tv_流泪]然后今天上午考生竞，30个多选错九个[tv_流泪]寄 2\n",
      "那年我双手插兜，不知什么叫做队友[tv_doge] 4\n",
      "会不会有这种可能，他们要投波士顿大学的新毒株了。 2\n",
      "咦，美国有一美元炸鸡，为什么还有流浪汉没吃的 2\n",
      "我考完研要从贵阳坐飞机回湖北，已经买了P100等级的防毒面具、护目镜、手机袋、一次性橡胶手套，希望能躲过一劫[捂脸][捂脸] 2\n",
      "只是发发居家抗原试剂盒而已，三年中已经发了好几次了，自己登记免费寄给你，这有啥大不了的 2\n",
      "纠正一点，半年免疫期，需要有防护，不接触其他亚型的前提。 2\n",
      "单位请病假用，懂？ 2\n",
      "祝你健康。请问保险贵吗？在美国医疗贵的话买保险是不是能大幅减少医疗支出啊？如果在美国生活想要活的不拮据的话大概每个月支出多少啊？美国大专毕业好找工作不？ 2\n",
      "回复 @鵬さん_ :教师装？[tv_尴尬] 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "回复 @缘来缘去缘是客 :那边管理严格，安全的很 2\n",
      "哦牛批，这么早就有这种答辩了 2\n",
      "回复 @干将莫邪h :你被家长批判的时候，一定经常顶嘴说别的孩子也一样吧[星星眼][星星眼][星星眼] 2\n",
      "6 5\n",
      "那美国暂停签证是假的？ 2\n",
      "回复 @含梦前行 :口腔是消化道 2\n",
      "美国、日本、澳大利亚、奥地利、加拿大、克罗地亚、捷克、爱沙尼亚、芬兰、希腊、匈牙利、意大利、拉脱维亚、波兰、葡萄牙、斯洛文尼亚、冰岛、挪威、瑞典、瑞士、比利时、丹麦、马耳他、斯洛伐克等国的签证中心均暂时关闭！ [滑稽] 2\n",
      "不学数理化，生活处处是魔法 2\n",
      "妈的，两个月了，还在上网课，天天泡面 2\n",
      "心得值得学习，无论是防疫还是生活。 2\n",
      "true dude 5\n",
      "牛 5\n",
      "你搞反了吧，[笑哭] 4\n",
      "6 5\n",
      "万恶之源美利坚 4\n",
      "回复 @钟离是我的老公 :看来今年又不能过个好年了 搞不懂为啥偏偏这个时段放开…走亲戚的人多了，家里老幼怎么办啊 自己得了扛扛就算了 ➕得了是真的难受啊  吃点米线狂流泪 喉咙太ta'm疼了[大哭] 2\n",
      "确实能上班 现在反而一堆阳在家的公司直接放假了 2\n",
      "说实在的听着UP主的描述真的难以相信没杨过，有的人呆在家里几个月结果出门一次就中招，UP主的生活很难不被中招。 2\n",
      "回复 @圣伊丽莎白通主任 :戳啦，还有初中的OIer[脱单doge] 2\n",
      "我还有两周高考呢，她让我阳，在高考考场上发高烧浑身痛的又不是她，笑死 2\n",
      "你是没体验过大学生一年封校8个月的痛 2\n",
      "现在美国首先 关闭移民，接着开始点致命[嗑瓜子] 2\n",
      "开窗户也能中招，不会是你邻居故意给你吐的吐沫在窗户上吧 2\n",
      "传播性强致死率一定低？天花and马力克氏病:“请，好好的看着我”[笑哭] 2\n",
      "我也努力防控耐不住学校摆烂养蛊，中招了全班剩四个抗羊达人[笑哭] 2\n",
      "左：复学后疯狂交叉感染而再次回家的同学\r\n",
      "右：不回学校在家自学的我 2\n",
      "有钱谁不想去郊外住独立院，租不起 2\n",
      "可我的父母在封控期间失去了工作，阳了之后也只能被迫去工作啊... 2\n",
      "相反我好奇国内为什么会有人觉得躲不过去呢？日本放开了3年，我在日本3年，一次也没阳过。做好防护，周围人也做好防护，怎么躲不过去？ 2\n",
      "老奶奶剪报纸原来这么快乐[脱单doge] 2\n",
      "up 用心了，谢谢！ 5\n",
      "有个考研的坐在我们门口咳嗽 真是服了 2\n",
      "家里消毒通道都搞好了，到现在没感染 2\n",
      "你的担心是正确的，我一个同事今年去考公，身体挺好的一个大小伙子，结果回来没两天就阳了[热] 2\n",
      "true 5\n",
      "我也原地过年，三年没回家过年了。父母年纪大，都没打疫苗[大哭]我怕回去了给他们带来不好的东西 2\n",
      "就你有大学上，真的好厉害[给心心] 5\n",
      "你真大学生？放开前，教学、实习、实验全部都能运行，出门偶尔报备经常审批又不是出不去。放开后学校直接赶人回家，图书馆、实验室大家都不愿去，课程全变线上，考试也线上，实习直接延期，考研局势不明朗。你怕不是上个大学只玩不学习 2\n",
      "回复 @叶恭宏 :是啊，回家是去探亲，不是去添堵。我老家在北方，回去路上被感染是必然的，到家了再把家人都感染了，我爸还有糖尿病，一家人都整整齐齐的病倒了那这个年还过不过了[大哭][大哭][大哭] 2\n",
      "我也是[大哭] 4\n",
      "[笑哭] 4\n",
      "迅哥儿[doge] 5\n",
      "ip好评 4\n",
      "依托答辩 2\n",
      "这位\r\n",
      "https://b23.tv/BV1ad4y1v77Z 4\n",
      "农村的老人该怎么办啊，愁死人了[难过] 2\n",
      "我TM排队做核酸要1～2个小时，全是咳嗽感冒的人。 2\n",
      "下学期高校总不能再封校了吧 2\n",
      "看视频：😂\r\n",
      "看评论：🤣👉 4\n",
      "一样 4\n",
      "造谣的人是大夫吗？如果不是，建议考个医师资格证 2\n",
      "【中医退热小妙招-哔哩哔哩】 https://b23.tv/G7VpQkj 4\n",
      "我们整个年级都走了一半了，班里不剩多少人了，还没放假，我真的栓q 2\n",
      "是的 5\n",
      "专业 4\n",
      "这文案为啥写的这么好啊！这是西班牙留学生？这不读文学系屈才了啊！ 2\n",
      "来日本三年没感染过🤣🤣🤣 2\n",
      "回复 @买小迪在这里 :up。我想知道你们洗澡是怎么解决的？洗澡带口罩吗[doge] 2\n",
      "[拥抱] 5\n",
      "回复 @_Natura1 :我路途直线距离1000铁路公路超过1200……准备考完试就去搞采购防疫物品再回去 2\n",
      "柳州有机场啊，我去学校都飞两趟了 2\n",
      "[拥抱][拥抱][拥抱] 5\n",
      "24小时戴口罩，喝可乐没找到吸管中了[吃瓜]\r\n",
      "个人认为主要是独立寓所... 全大厦阳性根本一般防护避不了，洗澡总不能戴口罩吧[doge] 2\n",
      "现已加入汉服合集收藏夹 3\n",
      "我是贪吃 去中餐馆吃饭感染了 2\n",
      "感觉在国外预防更难 2\n",
      "[拥抱][拥抱][拥抱] 5\n",
      "感觉北方人怕的多 2\n",
      "人口密度不一样 2\n",
      "回复 @_你滴勋宗 :我觉得这里空气中的病毒浓度肯定已经超标了，整一层楼的走廊里都有人咳嗽，宿舍里都已经阳了两个的基础上还不愿意通风阳了的人还不愿意戴口罩，宿舍里也没有空气消毒过，我阳了真的一点也不奇怪。现在我最后悔的就是没有趁着封控的时候赶紧回家然后申请借考[捂脸] 2\n",
      "你吃饭喝水上厕所是怎么做的呢？这三件事在外面可太头疼了[辣眼睛] 2\n",
      "[笑哭] 4\n",
      "回复 @一块红布Official :看毒株和个人身体状况 2\n",
      "2梯4户18层，独门独户，门前还有院子，后门一条河流 3\n",
      "我去我同学我是在加拿大留学，他从来不带口罩，也没阳过[笑哭] 2\n",
      "答辩少年团 4\n",
      "[星星眼][星星眼] 4\n",
      "我爸退休了  也不出去溜达 也中招了 2\n",
      "过几天要去医院体检，需要戴护目镜吗（家里有老人遭不起这些[保卫萝卜_哭哭]） 2\n",
      "高三，住宿生。在校除吃饭洗漱外全程7093CN，因为近视戴的近视眼镜，没上护目镜。三天内全年级大半人阳性，舍友摆烂，一晚上宿舍四人一锅端（核酸阳性）。我本人可以理解放开，但也不想感染，更不想因为自己危害到他人。 2\n",
      "高三，住宿生。在校除吃饭洗漱外全程7093CN，因为近视戴的近视眼镜，没上护目镜。三天内全年级大半人阳性，舍友摆烂，一晚上宿舍四人一锅端（核酸阳性）。我本人可以理解放开，但也不想感染，更不想因为自己危害到他人。 2\n",
      "最喜欢的一集 4\n",
      "《好好的》 5\n",
      "是的 5\n",
      "无尽模式[星星眼] 4\n",
      "回复 @Lynnn213 :四川有个38岁的，没有任何基础病。 2\n",
      "记得去消费啊🤔 3\n",
      "不错哟，地府还有网络 3\n",
      "其实有单独卫生间和卧室比较重要，这样才能做到真正意义上的隔离，不然总有空间要和室友/家人共用 2\n",
      "对，我上班的地方除了我全阳了，我不怕，但我怕传染给别人，我至少要对路人有一个起码的人生安全的负责 2\n",
      "[拥抱][拥抱] 5\n",
      "都是语言话术，你让他们说说会不会对身体造成损害？ 2\n",
      "我得了以后的确在想老人小孩怎么受得了，发烧能上到40度，晚上睡觉全身都是烫的，侧着睡脸靠枕头那面不到3分钟能烫到50度，只能竖着睡。只能说注意个人防护。 2\n",
      "但是我阳了，这才放开几天，在家隔离都不能进去公司上班了…[笑哭] 2\n",
      "江西的疫情很严重了，我家这边几乎户户阳 2\n",
      "本人浙江高三考生，还有15天就首考了，但现在阳了躺在家里，首考不是完蛋了吗[笑哭][笑哭][笑哭] 2\n",
      "我不理解为什么不放假之后再放开，我们学校的学生基本都羊了，我天天戴口罩，没出过校门也阳了。 2\n",
      "不到伍佰[脱单doge] 5\n",
      "书面语言，听个响就知道了[吃瓜] 4\n",
      "考研要摘口罩查验身份 请问摘口罩怎样才能防止感染呢[大哭][大哭][大哭] 2\n",
      "[拥抱][拥抱][拥抱] 5\n",
      "妈的我12月六号还居家隔离，说要隔离到九号。7号他么居然开放了[呲牙] 3\n",
      "主要是为什么要大冬天放开啊[笑哭]南方人表示本来就冷，还要患上这病，双重折磨了属于是[笑哭] 2\n",
      "我居然能24小时睡18个小时，离谱 2\n",
      "钟老孙女三天就恢复健康了，请问他是啥医疗条件 2\n",
      "为什么都忽略重复感染这个性质呢 2\n",
      "所以老年人就不去算了，年轻人呢，不止年轻人，十几岁小孩都挂了好多 2\n",
      "01:17 温馨提示患有基础疾病的阳性死亡病例不算在新冠死亡病例之中 2\n",
      "哈哈哈，你这一说全好了[tv_doge] 4\n",
      "一开始我们底下还在讨论这病毒老人和有疾隐的很难扛，以人为本不可能太全面放开，结果[捂脸]已经有朋友和同事老人中招病危有的还辞世了，阳就来上班，让不阳的心里咋想，谁家里没个老人孩子 2\n",
      "去考场一定有阳的。。注意防护 2\n",
      "首先普通的蓝色口罩没用…其次你不出门但你舍友出，老师也出。只要还有社交不阳是不可能的 2\n",
      "这是营销号断章取义的，别营销号说啥你就信啥，钟南山过渡预防的意思是指事先大量吃药 2\n",
      "国内这个人口密度和流动程度，真的很难不阳[大哭] 2\n",
      "见 4\n",
      "还好你是现在这么说，放开前你不被网友扣个老孩侠的大帽子？ 不过没关系 它们现在又变成关心你的样子了[辣眼睛] 2\n",
      "一样，[大哭] 4\n",
      "开放的时候举国欢喜？但凡脑子正常都都知道有什么后果吧 2\n",
      "啧，，主观做出行动避免降低概率也是可以的 2\n",
      "可 3\n",
      "致死率再低，中国人基数大，你算算看人多不多 2\n",
      "我是没欢庆，我一直都是老孩侠。就算不是为了“老吾老、幼吾幼”的大美德，我只想想自己家的亲朋好友，我就担心。\r\n",
      "不像那些证件照等于全家福的人，轻松没负担，没有亲朋好友需要担心。 2\n",
      "看看你的成份 4\n",
      "有孩子确实会复杂很多。但我觉得这并不“神经兮兮”啦😂 恰恰相反，养成了习惯以后其实我非常安心，因为只需要保证安全区我就已经做好了力所能及的最好，其他的已经不在我的掌控范围之内了。而摆烂才会让我“神经兮兮”，因为我的生活失控了，我让我自己随时处于一种大概率会感染的危险之中，而我无力承受自己本就不太行的身体可能要遭受的坏结果。anyway都是个人选择啦～谁都想好好活着 2\n",
      "所以我一般不会给人能吹我一口气的机会[笑哭] 人口密度是相对的，再小的密度只要人群足够聚集都一样。无论是地铁，火车，餐厅，还是密密麻麻挤满了几百人的会议室，我都会尽量挑个没人的角落坐，尽量保证自己方圆一两米内不要有人，即便有人，也是一个他们咳嗽的唾沫（要知道，除了我没有人戴口罩）也喷不到我身上的距离。无论是什么样的客观条件，我们能做的都只是在这个条件里尽力保护自己。 2\n",
      "是的 5\n",
      "人口密度，医疗条件更不一样 2\n",
      "这才哪到哪，你要知道农村老人有多少，而且几乎都有基础病，高血压糖尿病这些，春节打工都回去了 2\n",
      "6 5\n",
      "本人笨笨女高中生一个，全家都阳了除了我，我该怎么照顾他们？看完视频还有很多不明白的地方，比如上厕所怎么办什么的，帮忙补充一下[保卫萝卜_哭哭][保卫萝卜_哭哭] 2\n",
      "可三年没放开我爸妈还是正常工作啊？现在反而得病没办法工作 2\n",
      "谢谢[保卫萝卜_哇] 5\n",
      "[保佑] 5\n",
      "2626-2019吧。可以的除了19083这个最好了。 4\n",
      "一样 4\n",
      "公共澡堂里面的水汽是不是也很容易形成气溶胶啊，而且浴室也都不戴口罩[喜极而泣] 2\n",
      "我们学校还在安排阳性病人和没有感染的一起住 2\n",
      "[OK]《一般》《应该》 5\n",
      "不考了呗～ 2\n",
      "回复 @20011108485 :总得去医院孕检吧 2\n",
      "中招了，我承认我有好几个地方没做好[撇嘴]，现实生活环境条件也有限[委屈] 2\n",
      "最难受的还是我们这些00后，疫情开始的时候我们是初三，疫情放开的时候我们还是高三，真是不知道说什么好了 2\n",
      "一样年纪[大哭]高三了八个多月没去过学校了 2\n",
      "高三生已经得了，每天班上的人越来越少，但老师还在说“我们要坚守住”可能高三生人均超人吧[微笑] 2\n",
      "支持国家的政策 2\n",
      "那不发烧呢？会怕冷口不渴 2\n",
      "6 5\n",
      "打工是不可能打工的了，只有坑在老家喝粥。——绝不相信我能扛过叠BUFF的病毒。 2\n",
      "6 5\n",
      "见[生气] 4\n",
      "我比较自私 家里老人家身体不好 一直不赞同放开 只能说大家保护好自己 环境没办法了 2\n",
      "你又是哪位啊？ 5\n",
      "安康 3\n",
      "考公人已经做好考试当天被感染的准备了，千防万防，到了摘口罩查身份这一关基本前功尽弃[保卫萝卜_哭哭] 2\n",
      "这还行呢，我阳的第二天起水痘，人都麻了，26岁起成人水痘，你敢信 2\n",
      "这就从比较谁更聪明，转移到比谁更自律，这样挺好的，越是自律的学生升到大学后才能有更好的发展，相信你们这一批考出来的是真正的精英 2\n",
      "不好说。。 4\n",
      "[保卫萝卜_哇] 5\n",
      "讲的太好了，很客观 4\n",
      "回复 @送我2斤辣条 :主要还是人口密度 2\n",
      "還有一篇值得一看的文章\r\n",
      "https://b23.tv/eGoFvyi[给心心] 4\n",
      "作为一名20年中考23年高考的学生，我是极其不幸的[委屈] 2\n",
      "之前看到说放开就恢复正常生活的文章我都会喷，百家号好多这种文章，感觉百家号有问题。 2\n",
      "其实说了那么一大堆有用的信息就一条:我国增加重症床位到2.4倍。 2\n",
      "回复 @贝尔兔兔 :不完全正确，网课的知识比较零散片面，也不好问老师，普通的学生往往无法全部吸收，反而拉开了更大的差距。 2\n",
      "这几年上学的孩子挺惨的 2\n",
      "回复 @忘川河畔惊鸿影 :24倍的钱你出吗？建设更多病床病房是要考虑后续的使用情况和成本的。 2\n",
      "底下说同情你共鸣你的朋友们，可能也是为你好，但是没啥用[笑哭]说让你努力的那一位可能有点不中听，但是如果执行的话还是可以受益的。好好学习天天向上，祝你有个美好的未来。强者一切困难都是阶梯，弱者一切困难都是借口。愿你是生活的强者。在困境中依旧可以发光。 2\n",
      "怎么会，我也焦虑症，昨天阳了。不出门可能说明有人养着你，我这样需要出门工作考研的阳了一点儿也不怕。找点儿事做吧，这样生活里想的就不会全是这个破病了 2\n",
      "记得感染了新冠的老人有一种症状叫“沉默性缺氧”。 2\n",
      "还等你考完研，您哪位 2\n",
      "就说我们今年考研的，就算分考场，结果我一个阴性考场的现在该感染还是感染。考试院人手不够，根本没有合理应对考试前十几天的放开。我一个大学生讲道理三年了觉得生活影响真的不大，学习也有条不紊，想出去也是可以出去的。身边人该上班上班，其实小心点就没事。出事的都是自己作死。唉....放开.... 2\n",
      "我朋友阳了了还是要去监考，人手不够[微笑] 2\n",
      "回复 @狗仙AJ :我朋友监考完阳了[笑哭] 2\n",
      "你倒是看看水印啊 4\n",
      "我阳了，都不知道怎么被感染的，天天在家都没出过门，真的服了啊，儿子才满月啊 2\n",
      "b站也不差不多 4\n",
      "看完安心不少 4\n",
      "【广州殡仪馆大排长龙，队伍一两公里长-哔哩哔哩】 https://b23.tv/ZYgSwrj 3\n",
      "这是啥意思？日本以前不对入境限制吗？ 2\n",
      "日本前段时间还要求中国放开入境管控，现在自己控上了，属实自己打自己脸了[doge] 2\n",
      "【日方希望中方放松防疫措施 外交部回应——-哔哩哔哩】 https://b23.tv/6dGvN1p 2\n",
      "别说日本，我现在连家都不敢出。在深圳，街上现在都快到除夕那时候了，街上店一半开一半不开，除了菜市场附近基本没几个行人，以前人不少的公园现在都稀稀疏疏的没几个人 2\n",
      "你可以有一个开放的大学生活，我们20高考才是真的惨，高考和大学全在疫情度过 2\n",
      "让我奇怪的是我们竟然对日本实行免签，而日本对我们不是。 2\n",
      "哈哈okok[呲牙] 5\n",
      "[笑哭]除了留学生打工的这种实在没办法的谁会去他们那啊核辐射那么严重 2\n",
      "几乎全世界所有国家对日本都是免签的 2\n",
      "https://b23.tv/BV1iP4y1R7Mb 4\n",
      "6[笑哭] 4\n",
      "请问如果买的是书籍该怎么办呀？ 2\n",
      "@東雪蓮Official [呆] 5\n",
      "就去日本住酒店么[呲牙] 2\n",
      "已阅 3\n",
      "[原神_喝茶] 5\n",
      "感谢政府保护了我和我的家人三年时间！ 2\n",
      "好 3\n",
      "回复 @理论人 :因为人钱多，很少隐匿起来打黑工，犯罪率也比较低 2\n",
      "蹲厕戴着口罩传染概率好像不高，我办公室阳了好几个，一周多了，我还没事。几个男生口罩戴好也没事。 2\n",
      "无论怎么样，医生值得我们尊重 2\n",
      "[doge] 5\n",
      "太难了，就青岛和浙江公布的数据看。大部分日增应该也差不多，我这种算是在外头口罩焊嘴巴上的，出门消毒凝胶也不离手。还是中招了\r\n",
      "我怀疑我是被我妈传的，她在外面工作条件有限，吃饭的时候同事都处于一个房间内。21号晚上跟我说嗓子痒，我22号去做单管发现中招了。\r\n",
      "不仅要注意在外面的防护，不出门也要防[笑哭] 2\n",
      "回复 @理论人 :国际评价，他们就像是亚洲的友好版的德国。  工业发达 友好 犯罪率低。 2\n",
      "我是一个十一年党龄的党员，诚实的说，抱有共产主义信仰的党员不多，但我们这个群体对国家忠诚对同胞抱有真诚的善意的人绝对是占了绝大多数，不论情况有多难，选择和国家现在一起是我们的本能 2\n",
      "[doge] 5\n",
      "还等什么，快去逛一圈 3\n",
      "[doge] 5\n",
      "几个考了三年零分的学生聚在一起，嘲笑着考了两年满分但最后一年零分的学生:“你看你学那么多东西有什么用，最后还不是要一起上中专” 2\n",
      "6 5\n",
      "这几天要去看牙，怎么办，，好危险 2\n",
      "https://b23.tv/BV1iP4y1R7Mb 4\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "这不是很正常吗[doge]我国要求所有来华人员有48小时核酸，想去日本的在去日本前测个核酸不就好了还是免费的呢 2\n",
      "严格是对大多数人的负责 2\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "【日方希望中方放松防疫措施 外交部回应——-哔哩哔哩】 https://b23.tv/hRCMj2S 2\n",
      "【日方希望中方放松防疫措施 外交部回应——-哔哩哔哩】 https://b23.tv/hRCMj2S 2\n",
      "【日方希望中方放松防疫措施 外交部回应——-哔哩哔哩】 https://b23.tv/hRCMj2S 2\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "https://b23.tv/BV1iP4y1R7Mb 4\n",
      "回复 @Vogelfanger :有论文研究表明有鼻炎的人轻症和无症状的概率高，所以估计是鼻炎帮了你 2\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "[doge] 5\n",
      "国外不是毕业了吗，我的天哪[doge][doge]真不敢相信 2\n",
      "如果不是特别急的话可以暂缓预约…我三年没去看牙[笑哭] 2\n",
      "[doge] 5\n",
      "不要说没给时间，但凡一直有关注政策的，都明白11.11国20条出来之时应该做什么准备。我就是从11.11当天开始买药，然后买口罩，一直但12月6日都很好买。我也一度感到有点憋屈和郁闷，觉得愤怒而无奈，但既成事实，我也想开了，调整好心态，做好自己。三年了，感谢国家，这之后，我会更努力保护好自己，保护好家人。 2\n",
      "[doge] 5\n",
      "我看到朋友圈之前Paper那些人一个个在伦敦，在法国过着圣诞，说未来要去看更广的世界，但她们知道有些人再也看不到最亲近的人了吗，我真的很难过，她们早就知道自己不会是代价。 2\n",
      "特别点名 4\n",
      "这个视频真的就是我近期想说的，之前面对部分同学一些激进言论我是很多离谱但我还是选择沉默了，但我现在很后悔，我想回国方便但我更担心家里长辈健康平安 2\n",
      "[doge] 5\n",
      "BV1iP4y1R7Mb? 5\n",
      "令人感叹，疫情之下爆露的太多了，问题也是得不到解决的，所以无论何时我都不会去被民族情绪所感染，希望一次疫情能让大伙看清更多东西 2\n",
      "[doge] 5\n",
      "根本就没人去 3\n",
      "密闭性很好[吃瓜] 3\n",
      "[doge] 5\n",
      "哪里看到是免费的？ 3\n",
      "还记得前段时间有报道日本不少地方旅游景点已经整装待发就期待中国游客给“增砖添瓦”，现在估计想问候岸田他八辈祖宗的心都有[doge] 2\n",
      "跨省隔离7天，没啥问题[doge] 2\n",
      "那就不去了 3\n",
      "竟然是极乐迪斯科的音乐[笑哭] 5\n",
      "所以结局还是一起上中专吗？ 2\n",
      "笑死 4\n",
      "你好 3\n",
      "前两年架子不摆太高可能笑的人还会少一点[永雏塔菲·1883_钓鱼] 4\n",
      "[doge] 5\n",
      "我家差不多就是这样。 2\n",
      "1 5\n",
      "谢谢你，谢谢你在这个时候敢说实话。无尽绝望不是因为疫情，而是因为人性 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "你的亲戚也是挺厉害的，冒着出门染病毒风险送你 2\n",
      "厉害了[星星眼] 4\n",
      "[doge] 5\n",
      "不明白为什么会有老孩侠这种恶毒的词出现，担心老人和孩子还有错了？ 2\n",
      "我也想在家门口这么整，但我觉得我妈会打死我[笑哭] 2\n",
      "同意 4\n",
      "6 5\n",
      "[大笑][大笑][大笑][大笑][大笑][大笑][大笑][大笑][大笑][大笑] 4\n",
      "回复 @miu4516 :谢谢，其实要说多敬业多高尚，那肯定不是，但是对国家的忠诚，守住做人的底线，大部分人还是有的 2\n",
      "应该全国小区普及 2\n",
      "好，我憋气30秒[OK] 5\n",
      "老人是一个社会的良心，孩子是一个社会的希望，不把老人和小孩当心上的人，只能说没有道德没有未来，目光短浅，现在只希望我在老家的爷爷身体不要出什么问题，我妈的身体也很虚弱，只能叹息了 2\n",
      "还有一个群体被忽视了，就是孕妇群体，不论是未足月的孕妇或者是待产孕妇，目前都处在一个非常危险的境地，她们的生存状况和抗风险能力比老人和小孩一点也不逊色，真的很难，她们需要的医疗条件甚至比老人小孩还要多，但目前能给予她们的条件还是太少了 2\n",
      "好 3\n",
      "影响也不是特别大吧感觉，只是阳性需要隔离，阴性该干啥干啥 2\n",
      "家里希望不要有老年人 2\n",
      "回复 @胡独航 :你一说我才发现，确实是这样，平常考虑的都是老人小孩，真的忽略了孕妇[跪了][跪了]，而且她们确实有一定几率会有生命危险[撇嘴][撇嘴] 2\n",
      "回复 @我总是在奔波 : 老铁你不给个全套材料的链接，是瞧不起我们吗？[脸红] 2\n",
      "N95不N95的吧，我没出门各种消毒都被感染了[大哭] 2\n",
      "好[打call] 5\n",
      "点名某日子国 4\n",
      "好[给心心] 5\n",
      "回复 @hai123 :别担心我了，我就是因为这个病然后去学心理学的，今年身体太差了没去成，希望明年可以上岸 2\n",
      "[点赞] 5\n",
      "都是人才\r\n",
      "居住条件不允许的我留下了羡慕的眼泪 2\n",
      "我就再也见不到我爷爷了，现在感觉家里好空 2\n",
      "阳性才隔离，隔离费用都是日本国费承担，一点毛病没有。。。不知道有什么可喷的 2\n",
      "痛到睡不着觉[大哭] 4\n",
      "好 3\n",
      "最喜欢的一集 4\n",
      "[打call] 5\n",
      "b站很多 4\n",
      "b站很多 4\n",
      "[吃瓜] 4\n",
      "[2233娘_大笑] 4\n",
      "确实老人重症概率更高，而且老人有基础病的也多，挺老火的 2\n",
      "已阅 3\n",
      "[辣眼睛][辣眼睛] 4\n",
      "问题是我经常看视频自己给孩子科普防疫知识，然后自己还没孩子那么神经兮兮，现在发现孩子是对的✧٩(ˊωˋ*)و✧。[支持][保佑][爱心] 2\n",
      "即便极度自私的人，不管别人家的老人孩子，他自己家也会有阿，能真心说出这种词的人，只能说泯灭人性了 2\n",
      "多少孕妇和小孩老人，这个新年会在病房里度过。 2\n",
      "好 3\n",
      "有能力分辨且购买呼吸阀口罩（这种的还贵）的人，你就相信他的素质吧[笑哭] 2\n",
      "已经半个月不在单位喝水，吃饭，上厕所了。这星期食堂已经沦陷关闭了[doge] 2\n",
      "[OK] 5\n",
      "日本每天s300左右，怎么好意思呢。 2\n",
      "[大哭][大哭][大哭][大哭][大哭] 5\n",
      "我也想这么弄，奈何家里不同意 2\n",
      "我家亲戚都很有防护意识，直接告诉我妈过年不用来看我啦，我妈跟我说，我说我本来就决定任何人家都不去哈哈哈哈哈哈哈哈哈 2\n",
      "吃饭喝水怎么办 2\n",
      "室友得了乍办。吃饭喝水刷牙啥办呢。好难啊 2\n",
      "世另我[笑哭]，不过我过完年还要去外地返校，打算多买几个防毒面具轮换着用[OK] 2\n",
      "我小时候就有郁抑症类似的症状，会毫无征兆地觉得这个世界好无聊我该怎么办，陷入一种情绪极度低落的状态。不过长大就很少有类似的症状了。 2\n",
      "回复 @春白柯 :封了三年其实我不介意，但一想到接下来的一年半我就像在毒圈里生活随时防备身边人感染真的很难过[大哭] 2\n",
      "阳了的人还是戴口罩吧 你的责任是不传给别人 不把有毒气体呼到大气里 你已经毕业学费了 不能只保护自己不考虑别人 2\n",
      "回复 @白月光与黑玫瑰 :我的那些舍友和同学他们就是特别相信网上说的跟感冒似的，然后就是喜欢到处跑，感觉我很危险，真的我好怕[大哭][大哭][大哭] 2\n",
      "[拥抱] 5\n",
      "回复 @我们谈谈美国 :[微笑][大哭][大哭][大哭] 2\n",
      "我就去了，有些医院会给做抗原，环境也会消杀，打电话问问，不弄这个的不用去，找工作日最早去最好第一个，赶快去不要到出入境正常和春运后 2\n",
      "今天出门与8个陌生擦肩而过，只有2个人戴着口罩。最离谱的，两大人带两小孩，大人好好的戴着口罩，孩子却什么也没戴，两个小朋友在公众场合打闹着玩。[无语] 2\n",
      "我现在依然阴性哦 2\n",
      "真的有这么好的小区？ 2\n",
      "眼睛除非是被人喷上唾沫了否则问题不大，你戴不住口罩或者频繁的摘脱问题更大。戴面具很大的好处就是解决了我没事扣鼻子的坏毛病。 2\n",
      "那我保护好我自己不让自己变成传染源就是错的了 2\n",
      "消毒与防毒面具所有的链接能发我不？ 3\n",
      "真要都有你这种觉悟就好了，现在出门大片不戴口罩的人，我现在真感觉能保护好自己不占用医疗资源就已经算是对社会负责了。。。 2\n",
      "有个好兄弟早上4：53和我一起学习防疫知识[微笑] 2\n",
      "打工人怎么多休息…… 2\n",
      "非常好视频 4\n",
      "几乎避无可避，返乡的人们实在是太多了，返城也一样。自己尽量注意吧，旅途周围人的坑实在是防不胜防。不要掉以轻心，防微杜渐。 2\n",
      "大型合订本现场:BV1xL4y1c7PV 3\n",
      "他一直这个音 5\n",
      "看了很多这样海外留学未阳的视频。的确自己独住有很大希望能保持。但孩子要上学，妻子也有工作，和社会面的接触机会大大增加。每天上班时间一直N95也不可能。所以谢谢UP主。但一个有家室的人，真的太难了。哭泣 2\n",
      "亲爱的，[爱心]你好点了吗？我家里人也是杨康后身上痒得很 2\n",
      "[滑稽]放开以后我就一直面具，还在阳人考场里坐阳了的监考前1米远考了两天试、去医院缴医保我都没中招 2\n",
      "要不您先管管满大街阳过不戴口罩的人？[微笑]那些自己都没有防护意识的，有什么必要严于律己去保护他们 2\n",
      "回复 @潘朵拉的八音盒 :45秒 4\n",
      "当时 5\n",
      "回复 @Mr-Tao888 :我妈把我骂了一顿[大哭] 2\n",
      "不会哦，真到那个时候，你有可能连医院都进不了，自己独住大概率会自己一个人在家噶[妙啊] 2\n",
      "我也是  不知道叫什么 5\n",
      "卧槽朋友，你就是加拿大的另一个我。防疫行为和观点甚至心理心态都一样！祝好！ 2\n",
      "回复 @玛丽莲萌鹿-Deer :风团 4\n",
      "科学适度[辣眼睛] 4\n",
      "是的 5\n",
      "是哈[笑哭] 4\n",
      "求个链接 3\n",
      "我妈也处女座，她没有你的一半严谨啊。 4\n",
      "支持[呲牙] 5\n",
      "回复 @菠萝抹茶冰 :哈哈哈，九十太难了，我最高也就考86[笑哭] 2\n",
      "一家三口32平方大单间，一个感染全玩完，而且女儿有严重的慢性过敏…… 2\n",
      "火车防疫，基本没可能 2\n",
      "求个链接 3\n",
      "好！ 3\n",
      "高中生就别想着睡眠充足了 2\n",
      "你给不戴口罩的人说去。这些带面具的都是不想感染的。 2\n",
      "实事求是[打call] 4\n",
      "6 5\n",
      "回复 @北雁南离33 :二等，选择的两联座的位置 3\n",
      "这种人是小孩子吗？ 2\n",
      "回复 @量子少年-高华 :有些是真的孩童，有些则是被年龄吹涨的孩童。两者之间的共同点便是可以完全不为自己之前的言行所负责 2\n",
      "好兄弟，有链接吗？ 4\n",
      "答辩 2\n",
      "这个事就很神奇，我身边同学也是疫情最严重的时候在国外几年都没事，今年去年回国的最近基本都倒了。 2\n",
      "国外很多地方你不瞎跑不乱浪，你一年也接触不了多少人，论人口流动和密度中国太猛了[笑哭] 2\n",
      "不过我高中同学一个去年下半年去德国的，12月18他们语言班全军覆没[笑哭]，有个去法国两年的一点事情没有[笑哭] 2\n",
      "啥也不干，摆烂 要么去小牙科诊所，别去大医院[笑哭] 2\n",
      "6 5\n",
      "【银川通报防疫人员将男子跪压在地：因密接擅离房间而起，已道歉-哔哩哔哩】 https://b23.tv/UW0EpM5 2\n",
      "4月份的视频了 4\n",
      "还有很多老人孕妇小孩连医院都住不上，只能自己吃药硬抗着 2\n",
      "包机，包车厢 3\n",
      "[doge] 5\n",
      "免费分享中医自学资料，倪海厦老师的教案视频[打call][打call][打call][打call][打call] 3\n",
      "这还是中医氛围不好的的情况下…… 2\n",
      "最可悲我现在在我村里身边都找不到中医了，唉 2\n",
      "【盎格鲁撒克逊计划-哔哩哔哩】 https://b23.tv/Ag9b0na 4\n",
      "中医黑子呢，快去骂他们 2\n",
      "更可悲的是，找到的中医不是中医 2\n",
      "知道为什么考中医需要学英语了吧，以后好出国学[星星眼] 2\n",
      "麻黄＋盐酸，yyds 4\n",
      "美国人深知西药的危害 2\n",
      "你是不是没上过学啊，别说本科了专科也要学英语 2\n",
      "回复 @o蜡笔大新o :你让老中医学去哇，不然没行医资格证 2\n",
      "还好我们有老祖宗的智慧保护，中医要重视起来啊！ 2\n",
      "我这里有中药材，河北药都安国[呲牙] 3\n",
      "对，他们看见中医就像看见宝贝一样 2\n",
      "试试换个环境，找个空气质量好的地方生活一段时间，个人经验 2\n",
      "回复 @AKB48前成员沙雕考 :收 5\n",
      "你应该上传到知乎[doge] 4\n",
      "阳康后吃什么中药 2\n",
      "国外针灸特别贵 2\n",
      "过年真的串亲戚也还是怕怕的 2\n",
      "现在回家还要好多道工序 2\n",
      "春节串亲戚也要注意防护 2\n",
      "在公共交通工具上都带着一次性手套了 2\n",
      "感觉家那边的防护意识还不是很高 有人还不戴口罩 2\n",
      "恭喜🎉 4\n",
      "不会 看那个医生只卖六十以上的人就能看出有医德 会估量 2\n",
      "6 5\n",
      "因为中药不好骗你钱 2\n",
      "读书除非单独居住，不然真的很难避免 2\n",
      "老外都开始知道中医的好了 2\n",
      "哈哈(ಡωಡ)hiahiahia 4\n",
      "瑞辉。。。。呢 4\n",
      "西医可以流水线,中医没个十年 很难出师 2\n",
      "西医可以流水线,中医没个十年 很难出师 2\n",
      "上海有没有靠谱的中医？ 2\n",
      "已阅 3\n",
      "西医系统性的学几年就可以了。中医半辈子都在学习而且没有老师只能自己去摸索。学习成本可见一斑。 2\n",
      "西医系统性的学几年就可以了。中医半辈子都在学习而且没有老师只能自己去摸索。学习成本可见一斑。 2\n",
      "是的[支持] 5\n",
      "if you这么老的歌了 5\n",
      "熏香[吃瓜] 4\n",
      "这些中药大部分中国卖的吧 2\n",
      "美国不缺中医，所以才会中药在美国人卖的很普遍 2\n",
      "春节出行，如何做好防疫措施，避免将病毒带回家！？\r\n",
      "一，开始\r\n",
      "00:17 开始\r\n",
      "1.过年出游如何正确做好防疫措施\r\n",
      "1.1外出必备防护和消毒装备\r\n",
      "1.2口罩，... 2\n",
      "6 5\n",
      "cv8096890\r\n",
      "cv8133613\r\n",
      "cv8131758\r\n",
      "cv8132764\r\n",
      "cv8120854\r\n",
      "BV1FE411x7Lw\r\n",
      "BV1fk4y1671F 4\n",
      "嗯。。。那只是年轻人，老人怎么办 2\n",
      "自学中医，治好了反流性食管炎，肠炎，偏头疼， 2\n",
      "回复 @镸風啊 :那我妈算歪打正着了，我小时候生病，吃西药打针总是好不全，拖拖拉拉的，后来我老妈就只带我看中医，多年下来，喝中药都是面不改色一口闷，问就是不苦 2\n",
      "你好 3\n",
      "[微笑][微笑]回本国还会被限制啊？是因为不够亲吗？ 2\n",
      "那边的泡菜是有多香[doge] 2\n",
      "巨婴心态[辣眼睛]，成年人要学会为自己的决定承担后果的觉悟 2\n",
      "对的，就要这样，就要扼杀他们去韩国的欲望 2\n",
      "现在去韩国的多少有点问题 2\n",
      "两个字，就是凡间 4\n",
      "虽然但是 以韩国的隔离政策我觉得逃离也情有可原。 2\n",
      "《逃离首尔》[doge] 4\n",
      "到哪里就要尊重哪里的法律，没啥可说的 2\n",
      "放下助人情结，尊重他人命运[妙啊] 2\n",
      "你说你，去欧美会遭这罪吗[doge] 2\n",
      "哈哈怎么去韩国的就那么多人逃呢，老是上新闻啊 2\n",
      "怎么才一年[傲娇]应该按偷渡算5年禁止入境 2\n",
      "感觉是自导自演的 4\n",
      "去韩国要么是家庭原因要么是工作原因或者打黑工的，真没啥玩的 2\n",
      "回复 @此间樂 :是不是韩国的隔离是非人对待的那种，最近韩国的社会阴暗面电影看多了想的 2\n",
      "感觉像自导自演的。。 4\n",
      "韩国媒体说了是男的吗？[思考] 4\n",
      "希望在韩工作的同胞不会被影响[辣眼睛] 2\n",
      "呃呃，我朋友之前从加拿大回国也要求隔离啊，自费21天花了一万多[嗑瓜子] 2\n",
      "回复 @鲸鱼上仙 :正常，一天500多。我这破地方隔离酒店一天都200多。他们是回国。防疫更严格 2\n",
      "去日本 去新加坡 哪怕去印度 我都不想去韩国 2\n",
      "沉浸式主题旅游[喜欢][喜欢][喜欢][喜欢] 3\n",
      "挺好的一事情，这几天街上人挤人，我基本都是绕巷子，身边邻居大多数都不敢去老人家里拜年，生怕过去导致老人出问题（回来5天已经从长辈那里听到不少老人过世了，就这一个多月里发生的）。 2\n",
      "回复 @盐湖炮竹 :现在去韩国旅游的本来也算不得人，得到非人待遇也挺好 2\n",
      "支持防疫工作，支持！ 2\n",
      "昆池岩[doge] 5\n",
      "请分析此视频中的  逃避  两字使用双引号的深刻用意[doge][doge] 2\n",
      "有纪念品 硅胶 4\n",
      "回复 @伦鬼LUNII-Ghost :之前我们一视同仁啊，而韩国呢？三年没洗澡突然说自己对我们有洁癖？ 2\n",
      "日本比韩国好玩多了，让我去韩国我都不愿意去 2\n",
      "就是就是[tv_doge] 4\n",
      "还真不用扼杀，没有再去的欲望 3\n",
      "这个没啥问题啊，可以不认同韩国的政策，但是去了该遵守还是要遵守吧 2\n",
      "不是有个妨害公共安全罪吗？韩国没有嘛 2\n",
      "很简单啊，要是临下飞机韩国突然增加的不合理规定，那是韩国问题，韩国双标是他的事，事先有这个规定，你不想遵守还要过去旅游，去了逃避人家规定，人家为什么要惯着你？这波人家处理没问题，就事论事，某些人就是国内过的太舒服了，以为全世界惯着他（她）丢脸丢到国外 2\n",
      "[热词系列_新年快乐][热词系列_大吉大利] 5\n",
      "确实没啥玩的，去泰国不香吗 3\n",
      "？？ 4\n",
      "人家有工作的，公司都派人来接了。这种明知道区别对待，还非要去的精韩散客没必要为他们操心 2\n",
      "可惜的是美国和日本掌握的中医可能比一部分国内的中医还多。 2\n",
      "那破地方有什么好去的 3\n",
      "6 5\n",
      "23了[热] 4\n",
      "中专 4\n",
      "[哦呼] 3\n",
      "回复 @菜鸟阿檀 :底线是不能像古印度那样，好比佛教在印度本土式微。 2\n",
      "唯一手段“疫苗接种” 2\n",
      "逆天[辣眼睛] 4\n",
      "我也是防疫派！然而我爸妈疯狂放水快气死我了。 2\n",
      "重松面罩[doge]  我们学校是大学，一半同学都不戴了说了也不听，反正我上课是口罩不摘，带了一个扩音麦克风 2\n",
      "学校里好多老师和学生都不戴口罩了，我还是要求我们班的学生一定要戴口罩，喝水去教室外面空旷的地方喝，我自己是口罩加面屏，希望我们班的孩子们能健健康康的 2\n",
      "我们老师直接说学生可以不戴口罩，然后老师基本没有戴口罩的。您是负责的老师。我觉得老师应该有孩子有正确的引导，虽然现在没有强制戴口罩，但事实疫情没有结束，做好防疫也是对身边的人负责。 2\n",
      "我孩子班的老师不准我家的戴口罩，说必须摘！气死了！ 2\n",
      "回复 @罗伯特粉肠 :和他说是自己是按新二十条办事，自己是自己的第一健康负责人，自己在为自己负责。\r\n",
      "并且问他如果孩子感染了他能不能负责？如果能的话要他立字据，毕竟生命只有一次。 2\n",
      "防疫很好👍可带阀的面罩口罩在班里合适么？ 2\n",
      "其实呢，不戴全封闭的护目镜🥽还是不行的 2\n",
      "护目镜戴着是更周全，但要求得越多越难做到，可以把口罩、消毒、洗手这三项基本的做好就已经不错了 2\n",
      "大学生说多了可能还有逆反心理，放开前我是要求学生上课必须戴口罩，放开后也不好这么说了。我上课就把教室门窗都打开通风，需要跟学生面对面交流的话，就自己发口罩给没戴的学生 2\n",
      "30平方米教室几十个人，眼睛也容易感染 2\n",
      "其实我现在大部分时间都在戴N95，这次戴面罩主要是为了给学生表明个态度，希望他们不要因为大部分人疏于防疫了，出于从众心理或作为少数派有压力而放弃防疫。稍后看看你的视频学习一哈～ 2\n",
      "支持，自己是身体的第一责任人。\r\n",
      "\r\n",
      "中疾控一直都是这么发布的，脆弱人群（65岁以上老人、基础病患者和未接种疫苗者）以及未感染人群仍需加强个人防护。 2\n",
      "你很棒👍🏻与君共勉，我也是这样上课的，对自己和学生健康负责 2\n",
      "回复 @夏月半今天饿了吗 :大学生只想着玩认知能力也差 2\n",
      "真好啊 返校回来一周了 就没看到钉子户老师同学[大哭] 2\n",
      "支持老师。现在的风气都开始反口罩了，搞得我有防毒面具都不敢戴[笑哭] 2\n",
      "预计5000例可不像以前是个准数了，实际多少没人知道，不想活的随便呗，保护好自己吧 2\n",
      "老师您好，主要是在宿舍里就很难防御了，没有独立的空气和用餐空间 2\n",
      "要开学了，我感到绝望，生怕再感染一次新冠。要求人类保持理智真是一件奢侈的事 2\n",
      "最重要的是消杀工作得做到位。戴口罩有用，但需要配合其他的措施，如果没有那口罩一样没用。还不如要求学生少说点话，少传播点病菌呢。 2\n",
      "这个视频的中心思想是，通过戴放毒面罩这种很多人看来有点夸张的防护措施，鼓励学生继续防疫。至于具体防疫措施，从去年学生入学开始已经通过N次班会反复讲解，不是这个视频的重点。 2\n",
      "回复 @夏月半今天饿了吗 :成年人许多还做不到呢，学生嘻嘻哈哈过了一天，不出事儿就行了。 2\n",
      "为你这样的防疫老师点赞，为什么我们没遇到，哎 2\n",
      "一线执法人员，还没阳过现在每天接触的人百分之70不规则佩戴口罩现在已经面罩护目镜一次性手套安排上了。不能让外界的愚蠢影响到自己的健康。 2\n",
      "我们这边那些摘口罩的师生已经被甲流狠狠地殴打了[脱单doge] 2\n",
      "学生钉子户咋办 集体宿舍 图书馆 上课还能戴面罩…睡觉 洗澡难搞 面罩也不好保证无毒存放 2\n",
      "请问您觉得在高校住宿的学生怎么防疫？\r\n",
      "我们难道一学期不洗澡，不吃饭，不上厕所，睡觉也穿着防护服戴口罩吗？\r\n",
      "学校人员的密集程度很高，只要你需要做上述行为，就和什么防疫措施都不采取是一样的后果，该感染的时候照样得感染。 2\n",
      "想防疫的话，结合个人自身环境总有力所能及的事可以做，能达到降低感染概率或者减少病毒载量都是有意义的，如果不认同这点，没有交流的基础。确实在校住宿防疫困难大，所以我也不会要求学生说你必须要防疫，不会攻击不防疫的人。但对于想防疫的学生，我会支持并且结合我们学校的具体情况给出实际建议。事实上防疫的人做的事对不防疫的人来说是有利无害的，反而倒是会受到指责质疑，这是我觉得蛮奇怪的点 2\n",
      "回复 @夏月半今天饿了吗 :老师用心了[支持] 2\n",
      "我之前刷到个学生的视频，他们学校直接明令禁止戴口罩，中学的，这真的，微博欠他们学校一个热搜 2\n",
      "没办法啊，口罩气密性难以保证，学校又是人员密集场所，流动性还强 2\n",
      "传声振膜讲课时间长了会有水汽影响效果，可以再配个喉麦或者小蜜蜂，这样用比较轻的声音学生也能听得很清楚 2\n",
      "upup，您好，请问一下阿东那个液体口罩是智商税吗？开学了避免不了大澡堂那些，想防防不住啊[大哭] 2\n",
      "是的哈，我不戴面具时说话声音也不大所以上课都得用小蜜蜂 2\n",
      "我爸妈也是这么说他们都不戴口罩，根本劝不动 2\n",
      "你们老师上下班都能回家，那住宿舍的学生呢？大学的学生来自全国各地，你觉得有可能避免吗[囧]。还能一天24h带防毒面具吗？知道危害大，又能有什么办法呢，即便是做好防护了那其他人放弃了不也完蛋了？说白了带不带都无所谓了，除非恢复线上。 2\n",
      "如果无法24h佩戴防毒面具，那么学校学生就根本无法避免。 2\n",
      "我工作日都住学校宿舍哎，教师宿舍跟学生宿舍是连着的，放开前后两个月我因为要负责学生防疫工作完全没回家过，组织全校核酸、组织发抗原之类事儿，这期间都是用基础防护，没有阳，你可以看看我发的第一条视频。当然我住校是自己一间不需要合宿，我也知道大学住宿生防疫难度大，所以我只表示支持要继续防疫的人，从来没攻击过放弃防疫的人。如果不认同继续做防疫能降低再次感染的概率、能减少病毒载量即使再阳也能减轻症状，那再怎么说也无法达成共识。想放弃就放呗，别人想防疫为啥不能防，防疫对周围人有利无害，不防疫出言指责是出于啥心理我确实不理解 2\n",
      "回复 @夏月半今天饿了吗 :是，我要能自己住一间，我都能用酒精把宿舍喷个底朝天，说白了你们老师可以，我们学生没机会，学校就不应该开学。我放假期间也带防毒面具，6800加p100滤盒，回学校有用吗？集体生活，怎么可能避免。老师的命是命，学生的呢？ 2\n",
      "去澡堂里面，你带防毒面具不就行了， 2\n",
      "不容易啊，戴口罩的都成逆行者了，希望多一点您这样的老师 2\n",
      "[花园Serena2_偷笑] 4\n",
      "已赞👍 4\n",
      "6 5\n",
      "6 5\n",
      "哈哈，我也在政策改变的第一时间下单了面具，但是还是在面具倒之前就被家里人搞破防了。后来戴了两个月，别人的眼光和吐槽我是真难受，还有不能运动，脸上还长痘了。白受两个月罪还没用<(ToT)> 2\n",
      "学校里没什么人戴口罩了 2\n",
      "学校聚集地更容易中新病毒，你自己还是尽量得戴[鹿乃_加油] 2\n",
      "回复 @love丶小翰 :我们这已经爆发甲流了，此时此刻教室里全是咳嗽的 2\n",
      "[OK] 5\n",
      "好活[doge] 4\n",
      "2404\n"
     ]
    }
   ],
   "source": [
    "# 清洗数据\n",
    "# 首先列出标签大于1的数据\n",
    "count = 0\n",
    "for i, x in enumerate(policy_prediction_data[\"pred-label\"]):\n",
    "    if x > 1:\n",
    "        print(policy_prediction_data[\"review\"][i], x)\n",
    "        count += 1\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1c18a7bb",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.302260Z",
     "end_time": "2023-04-21T16:36:14.376736Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "2023-02-28 11:57:57 5\n",
      "2023-02-28 22:08:34 4\n",
      "194 885 1174 151\n"
     ]
    }
   ],
   "source": [
    "# 在看看时间分布\n",
    "count1, count2, count3, count4 = 0, 0, 0, 0\n",
    "for i, x in enumerate(policy_prediction_data[\"pred-label\"]):\n",
    "    if x > 1:\n",
    "        print(policy_prediction_data[\"time\"][i], x)\n",
    "        if policy_prediction_data[\"time\"][i] <= \"2022-10-15\":\n",
    "            count1 += 1\n",
    "        elif policy_prediction_data[\"time\"][i] <= \"2022-12-01\":\n",
    "            count2 += 1\n",
    "        elif policy_prediction_data[\"time\"][i] <= \"2023-01-15\":\n",
    "            count3 += 1\n",
    "        else:\n",
    "            count4 += 1\n",
    "print(count1, count2, count3, count4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ada8540f",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.347671Z",
     "end_time": "2023-04-21T16:36:14.410209Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 37552\n"
     ]
    }
   ],
   "source": [
    "# 全部变成1\n",
    "for i, x in enumerate(policy_prediction_data[\"pred-label\"]):\n",
    "    if x > 1:\n",
    "        x = 1\n",
    "\n",
    "print(max(policy_prediction_data[\"pred-label\"]), max(policy_prediction_data[\"likes\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ece36d5e",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.366732Z",
     "end_time": "2023-04-21T16:36:14.410209Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ai的准确率为：0.283\n",
      "policy的准确率为：0.30245901639344264\n"
     ]
    }
   ],
   "source": [
    "# 计算准确率\n",
    "def accuracy(n, X, Y):\n",
    "    return np.sum([int(x == y) for x, y in zip(X, Y)]) / n\n",
    "\n",
    "ai_accuracy = accuracy(n_ai, ai_prediction_test[\"pred-label\"], ai_prediction_test[\"gpt-label\"])\n",
    "policy_accuracy = accuracy(n_policy, policy_prediction_test[\"pred-label\"], policy_prediction_test[\"gpt-label\"])\n",
    "print(\"ai的准确率为：{}\".format(ai_accuracy))\n",
    "print(\"policy的准确率为：{}\".format(policy_accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "21fb6a6f",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.382731Z",
     "end_time": "2023-04-21T16:36:14.410209Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10008\n",
      "10034\n",
      "[[ -1   3]\n",
      " [ -1   1]\n",
      " [  1 149]\n",
      " ...\n",
      " [ -1   0]\n",
      " [ -1  33]\n",
      " [  1   1]]\n",
      "[[-1 13]\n",
      " [-1  9]\n",
      " [ 1 50]\n",
      " ...\n",
      " [ 1  1]\n",
      " [ 1  0]\n",
      " [ 1  1]]\n"
     ]
    }
   ],
   "source": [
    "pred_acc = 0.9  # 数据判断的准确率\n",
    "\n",
    "n_ai = len(ai_prediction_data)\n",
    "n_policy = len(policy_prediction_data)\n",
    "print(n_ai)\n",
    "print(n_policy)\n",
    "\n",
    "# 将数据转换为-1和1以便计算乘法\n",
    "def transform(x):\n",
    "    if x == 0:\n",
    "        return -1\n",
    "    else:\n",
    "        return 1\n",
    "\n",
    "ai_pred_labels = np.array([[transform(x), int(likes)] for x, likes in zip(ai_prediction_data[\"pred-label\"], ai_prediction_data[\"likes\"])])\n",
    "# ai_likes = np.array([int(x) for x in ai_prediction_data[\"likes\"]])\n",
    "policy_pred_labels = np.array([[transform(x), int(likes)] for x, likes in zip(policy_prediction_data[\"pred-label\"], policy_prediction_data[\"likes\"])])\n",
    "# policy_likes = np.array([int(x) for x in policy_prediction_data[\"likes\"]])\n",
    "print(ai_pred_labels)\n",
    "print(policy_pred_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15c28867",
   "metadata": {},
   "source": [
    "\n",
    "由于数据量大，有效率低，直接分析难以得出结论，因此需要对每个数据都乘一个权重likes来得到结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ff998227",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:14.394732Z",
     "end_time": "2023-04-21T16:36:14.752645Z"
    }
   },
   "outputs": [],
   "source": [
    "# 将计算置信区间的过程封装成函数\n",
    "from scipy.stats import t\n",
    "from math import sqrt\n",
    "\n",
    "# 加权求和\n",
    "def weighted_sum(Y):\n",
    "    Z = 0\n",
    "    for _, y in enumerate(Y):\n",
    "        Z += y[0] * y[1]\n",
    "    return Z\n",
    "\n",
    "\n",
    "# 数据预处理\n",
    "def data_preprocess(data, m=150):\n",
    "    # np.random.shuffle(data)\n",
    "    X_split = np.array_split(data, m)\n",
    "    # print(X_split)\n",
    "    Z = [weighted_sum(Y) for Y in X_split]\n",
    "    Z_bar = sum(Z) / m\n",
    "    return Z, Z_bar\n",
    "\n",
    "# 计算标准差\n",
    "def std(n, X, X_bar):\n",
    "    return np.sqrt(sum([(x - X_bar)**2 for x in X]) / (n - 1))\n",
    "\n",
    "# 计算Z到X的转换\n",
    "def Z_to_X(Z, m=150):\n",
    "    return Z / m\n",
    "\n",
    "# 计算置信区间\n",
    "def cal_confidence_interval(data, data_name, m=150):\n",
    "    Z, Z_bar = data_preprocess(data, m)\n",
    "    Z_std = std(m, Z, Z_bar)\n",
    "    alpha = 0.05\n",
    "    u_left = (Z_bar - Z_std * t.cdf(1 - alpha / 2, m - 1))/ sqrt(m)\n",
    "    u_right = (Z_bar + Z_std * t.cdf(1 - alpha / 2, m - 1))/ sqrt(m)\n",
    "    X_left = Z_to_X(u_left, m)\n",
    "    X_right = Z_to_X(u_right, m)\n",
    "    print(\"在置信度水平为{}时，{}的置信区间为：[{},{}]\".format(1 - alpha, data_name, X_left, X_right))\n",
    "    return X_left, X_right"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "b555edc6",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T17:00:41.526808Z",
     "end_time": "2023-04-21T17:00:41.537815Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"font.sans-serif\"]=['SimHei']\n",
    "plt.rcParams[\"axes.unicode_minus\"]=False\n",
    "# 画出各个时间段置信区间的正负柱状图\n",
    "def plot_confidence_interval(X_left, X_right, data_name, X_len):\n",
    "    \"\"\"\n",
    "    画出各个时间段置信区间的正负柱状图\n",
    "    :param X_left: 置信区间左端点\n",
    "    :param X_right: 置信区间右端点\n",
    "    :param data_name: 数据名称\n",
    "    :param X_len: 时间段的个数\n",
    "    :return: none\n",
    "    \"\"\"\n",
    "    y_max = 1.5 * np.max(X_right)\n",
    "    y_min = 1.2 * np.min(X_left)\n",
    "    x_data = [\"{}\".format(i) for i in range(1, X_len + 1)]\n",
    "    plt.figure(figsize=(20, 10), dpi=100)\n",
    "    ax = plt.gca()\n",
    "    ax.spines[\"bottom\"].set_position(('data', 0))\n",
    "    plt.bar(x_data, np.array(X_right), lw=0.5, fc=\"r\", width=0.3, label=\"u_right\")\n",
    "    plt.bar(x_data, np.array(X_left), lw=0.5, fc=\"b\", width=0.3, label=\"u_left\")\n",
    "\n",
    "    # 画出置信区间的中间线\n",
    "    plt.plot(x_data, np.array(X_right), color=\"black\", lw=0.5)\n",
    "    plt.plot(x_data, np.array(X_left), color=\"black\", lw=0.5)\n",
    "    plt.legend()\n",
    "\n",
    "\n",
    "    # 标出置信区间的数值\n",
    "    for i, j in zip(x_data, X_right):\n",
    "        plt.text(i, j, \"%.2f\"%j, ha=\"center\", va=\"bottom\")\n",
    "    for i2, j2 in zip(x_data, X_left):\n",
    "        plt.text(i2, j2, \"%.2f\"%j2, ha=\"center\", va=\"top\")\n",
    "\n",
    "    # print(\"y_max:{}, y_min:{}\".format(y_max, y_min))\n",
    "    plt.ylim(y_min, y_max)\n",
    "    plt.xticks([])\n",
    "    plt.title(\"{}的置信区间\".format(data_name))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "dd096132",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T17:00:44.152878Z",
     "end_time": "2023-04-21T17:00:44.273972Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "在置信度水平为0.95时，ai的置信区间为：[-2.200130283336895,0.914616293082125]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.6318103430726296,3.2736144102547153]\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算ai的置信区间\n",
    "X_ai_left, X_ai_right = cal_confidence_interval(ai_pred_labels, \"ai\")\n",
    "X_policy_left, X_policy_right = cal_confidence_interval(policy_pred_labels, \"policy\")\n",
    "plot_confidence_interval([X_ai_left], [X_ai_right], \"ai\", 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "386d1df4",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:58:17.550434Z",
     "end_time": "2023-04-21T16:58:17.564956Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ai的第1个时间段的时间的开始日期为：2022-09-01 02:07:15\n",
      "ai的第2个时间段的时间的开始日期为：2022-09-15 10:40:06\n",
      "ai的第3个时间段的时间的开始日期为：2022-09-28 15:28:15\n",
      "ai的第4个时间段的时间的开始日期为：2022-10-11 05:36:22\n",
      "ai的第5个时间段的时间的开始日期为：2022-10-24 18:18:18\n",
      "ai的第6个时间段的时间的开始日期为：2022-11-04 04:01:04\n",
      "ai的第7个时间段的时间的开始日期为：2022-11-15 13:34:47\n",
      "ai的第8个时间段的时间的开始日期为：2022-11-28 10:17:50\n",
      "ai的第9个时间段的时间的开始日期为：2022-12-05 15:03:12\n",
      "ai的第10个时间段的时间的开始日期为：2022-12-15 16:52:13\n",
      "ai的第11个时间段的时间的开始日期为：2022-12-24 16:18:58\n",
      "ai的第12个时间段的时间的开始日期为：2023-01-10 16:25:02\n",
      "ai的第13个时间段的时间的开始日期为：2023-01-30 01:25:05\n",
      "ai的第14个时间段的时间的开始日期为：2023-02-06 15:52:42\n",
      "ai的第15个时间段的时间的开始日期为：2023-02-10 17:46:22\n",
      "ai的第16个时间段的时间的开始日期为：2023-02-13 08:12:00\n",
      "ai的第17个时间段的时间的开始日期为：2023-02-15 17:40:32\n",
      "ai的第18个时间段的时间的开始日期为：2023-02-19 04:33:27\n",
      "ai的第19个时间段的时间的开始日期为：2023-02-20 16:05:29\n",
      "ai的第20个时间段的时间的开始日期为：2023-02-23 07:55:46\n",
      "ai的第21个时间段的时间的开始日期为：2023-02-28 17:16:00\n",
      "policy的第1个时间段的时间的开始日期为：2022-09-01 01:11:59\n",
      "policy的第2个时间段的时间的开始日期为：2022-09-26 12:42:23\n",
      "policy的第3个时间段的时间的开始日期为：2022-10-23 18:50:29\n",
      "policy的第4个时间段的时间的开始日期为：2022-11-07 18:06:34\n",
      "policy的第5个时间段的时间的开始日期为：2022-11-09 15:40:30\n",
      "policy的第6个时间段的时间的开始日期为：2022-11-16 04:34:49\n",
      "policy的第7个时间段的时间的开始日期为：2022-11-24 04:21:27\n",
      "policy的第8个时间段的时间的开始日期为：2022-11-28 12:21:01\n",
      "policy的第9个时间段的时间的开始日期为：2022-12-01 00:48:31\n",
      "policy的第10个时间段的时间的开始日期为：2022-12-04 23:15:30\n",
      "policy的第11个时间段的时间的开始日期为：2022-12-08 14:30:26\n",
      "policy的第12个时间段的时间的开始日期为：2022-12-10 14:52:55\n",
      "policy的第13个时间段的时间的开始日期为：2022-12-11 15:28:04\n",
      "policy的第14个时间段的时间的开始日期为：2022-12-13 13:17:53\n",
      "policy的第15个时间段的时间的开始日期为：2022-12-17 00:05:23\n",
      "policy的第16个时间段的时间的开始日期为：2022-12-18 23:34:41\n",
      "policy的第17个时间段的时间的开始日期为：2022-12-22 06:12:26\n",
      "policy的第18个时间段的时间的开始日期为：2022-12-27 00:05:13\n",
      "policy的第19个时间段的时间的开始日期为：2022-12-29 16:47:43\n",
      "policy的第20个时间段的时间的开始日期为：2023-01-11 15:31:07\n",
      "policy的第21个时间段的时间的开始日期为：2023-02-27 03:04:16\n"
     ]
    }
   ],
   "source": [
    "# 选取数据的时间一列\n",
    "ai_time = ai_prediction_data[\"time\"]\n",
    "policy_time = policy_prediction_data[\"time\"]\n",
    "m = 50\n",
    "import math\n",
    "constant_num = 500\n",
    "X_ai_num = math.ceil(len(ai_pred_labels) / constant_num)\n",
    "X_policy_num = math.ceil(len(policy_pred_labels) / constant_num)\n",
    "X_ai = np.array_split(ai_pred_labels, X_ai_num)\n",
    "X_policy = np.array_split(policy_pred_labels, X_policy_num)\n",
    "\n",
    "for i in range(X_ai_num):\n",
    "    # 输出shape\n",
    "    # print(\"ai的第{}个时间段的shape为：{}\".format(i + 1, np.array(X_ai[i]).shape))\n",
    "    # 输出时间\n",
    "    print(\"ai的第{}个时间段的时间的开始日期为：{}\".format(i + 1, ai_time[i * constant_num]))\n",
    "for i in range(X_policy_num):\n",
    "    # 输出shape\n",
    "    # print(\"policy的第{}个时间段的shape为：{}\".format(i + 1, np.array(X_policy[i]).shape))\n",
    "    # 输出时间\n",
    "    print(\"policy的第{}个时间段的时间的开始日期为：{}\".format(i + 1, policy_time[i * constant_num]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "86eef7dd",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:57:18.231248Z",
     "end_time": "2023-04-21T16:57:18.602115Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 就计算每个时间段的均值\n",
    "X_ai_mean = []\n",
    "X_policy_mean = []\n",
    "for i in range(X_ai_num):\n",
    "    X_ai_mean.append(weighted_sum(X_ai[i]) / len(X_ai[i]))\n",
    "for i in range(X_policy_num):\n",
    "    X_policy_mean.append(weighted_sum(X_policy[i]) / len(X_policy[i]))\n",
    "\n",
    "def plot_mean(X_mean, X_len, data_name):\n",
    "    \"\"\"\n",
    "    画出各个时间段的均值\n",
    "    :param X_mean: X的均值\n",
    "    :param X_len: 时间段的个数\n",
    "    :return: none\n",
    "    \"\"\"\n",
    "    x_data = [\"{}\".format(i) for i in range(1, X_len + 1)]\n",
    "    plt.figure(figsize=(20, 10), dpi=100)\n",
    "    plt.plot(x_data, X_mean, marker=\"o\", label=\"均值\", c=\"b\")\n",
    "    plt.scatter(x_data, X_mean, c=\"r\")\n",
    "    plt.grid(True, linestyle='--', alpha=0.5)\n",
    "    plt.title(\"{}各个时间段舆论的均值\".format(data_name))\n",
    "    plt.show()\n",
    "\n",
    "plot_mean(X_ai_mean, X_ai_num, \"ai\")\n",
    "plot_mean(X_policy_mean, X_policy_num, \"policy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "574dc555",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T17:00:50.160167Z",
     "end_time": "2023-04-21T17:00:50.605546Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "在置信度水平为0.95时，ai的置信区间为：[-1.263625783358278,0.5509752850072278]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-2.7088346650886415,0.9554361219159838]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.4639312282826273,0.12780094877779005]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-2.144749756883132,0.876256759976961]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-5.384071717719364,5.369363896670685]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.23395460845831842,0.08325601125184143]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-2.1334888398493232,0.9962348615313752]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-10.078837071461141,3.150887672107824]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.4527815072837403,0.07682697386247674]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-1.2864941647349226,0.4187327228627915]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.7786948636030873,0.5108993834321179]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.09548712235603073,0.02206115419761962]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-2.1912974003369574,1.186526948542121]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.8642286281870173,0.35431978613777426]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.8321804002552698,0.2340246319139457]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-2.0420177182747237,0.5799471689509236]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-1.8284025109826765,0.4765274824389877]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.9748332763036852,0.30042311267920363]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.5675182141711113,0.28082884080683734]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.4240634058877227,0.17934789105468232]\n",
      "在置信度水平为0.95时，ai的置信区间为：[-0.37529612947970853,0.35493145418153604]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-2.3064669903115873,2.1344986211270194]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.9919487622571823,2.510248442820937]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-3.95195589462298,5.698905623951216]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-7.640446224679594,12.352040129081796]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.763044455633647,2.2100490784285345]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.5705453249047655,0.9538537688503691]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.8976131066645646,1.148324887002067]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-8.189982671153484,9.63338560145396]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.1960728074229916,4.452044976345816]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.5687779130782231,1.7038635925561012]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.764518299328548,3.2435594114008257]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-5.157544657969716,7.951012423454042]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-16.03481368921206,21.00266309111627]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.7589213056113507,1.1767365604788582]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.3787084284652795,1.6475221424011572]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.5054106468888628,3.2434225465029023]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-2.2230414359981294,1.414111278320719]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-1.5976296423732002,2.1920518869098595]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.253839095063628,0.9320959195777645]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-0.20438327247009663,0.561896461038015]\n",
      "在置信度水平为0.95时，policy的置信区间为：[-2.6023395600394723,1.9889102852245188]\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算每个时间段的置信区间\n",
    "X_ai_left = []\n",
    "X_ai_right = []\n",
    "X_policy_left = []\n",
    "X_policy_right = []\n",
    "for i in range(X_ai_num):\n",
    "    # print(\"ai的第{}个时间段的置信区间为：\".format(i))\n",
    "    t1, t2 = cal_confidence_interval(X_ai[i], \"ai\", m)\n",
    "    X_ai_left.append(t1)\n",
    "    X_ai_right.append(t2)\n",
    "for i in range(X_policy_num):\n",
    "    # print(\"policy的第{}个时间段的置信区间为：\".format(i))\n",
    "    t1, t2 = cal_confidence_interval(X_policy[i], \"policy\", m)\n",
    "    X_policy_left.append(t1)\n",
    "    X_policy_right.append(t2)\n",
    "plot_confidence_interval(X_ai_left, X_ai_right, \"ai\", X_ai_num)\n",
    "plot_confidence_interval(X_policy_left, X_policy_right, \"policy\", X_policy_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9fee5a80",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:50:48.065345Z",
     "end_time": "2023-04-21T16:50:48.091934Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "u的值为：-4.485730612269589\n",
      "在置信度水平为0.95时，ai的均值小于0.5\n",
      "u的值为：3.2503218551593354\n",
      "在置信度水平为0.95时，policy的均值大于0.5\n"
     ]
    }
   ],
   "source": [
    "# 假设检验：原假设H_0表示ai的均值大于0.5，备择假设H_1表示ai的均值小于0.5\n",
    "# 换算到Z上，即为miu_0 * m\n",
    "# 计算假设检验\n",
    "def hypothesis_test(Z_bar, Z_std, data_name, miu_0=0.5, m=150, alpha=0.05):\n",
    "    u = (Z_bar - miu_0 * m) / (Z_std / sqrt(m))\n",
    "    print(\"u的值为：{}\".format(u))\n",
    "    if u > - t.cdf(alpha, m - 1):\n",
    "        print(\"在置信度水平为{}时，{}的均值大于0.5\".format(1 - alpha, data_name))\n",
    "    else:\n",
    "        print(\"在置信度水平为{}时，{}的均值小于0.5\".format(1 - alpha, data_name))\n",
    "m = 150\n",
    "Z_ai, Z_bar_ai = data_preprocess(ai_pred_labels)\n",
    "hypothesis_test(Z_bar_ai, std(m, Z_ai, Z_bar_ai), data_name=\"ai\")\n",
    "Z_policy, Z_bar_policy = data_preprocess(policy_pred_labels)\n",
    "hypothesis_test(Z_bar_policy, std(m, Z_policy, Z_bar_policy), data_name=\"policy\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "df9d4531",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:50:50.879748Z",
     "end_time": "2023-04-21T16:50:50.896748Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "长度为10008的ai的平均值为：[ -5390 307367]\n",
      "长度为10034的policy的平均值为：[  1014 989618]\n"
     ]
    }
   ],
   "source": [
    "# 计算平均值\n",
    "ai_X_bar = sum(ai_pred_labels)\n",
    "policy_X_bar = sum(policy_pred_labels)\n",
    "\n",
    "print(\"长度为{}的ai的平均值为：{}\".format(len(ai_pred_labels), ai_X_bar))\n",
    "print(\"长度为{}的policy的平均值为：{}\".format(len(policy_pred_labels), policy_X_bar))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f8765208",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:50:55.120086Z",
     "end_time": "2023-04-21T16:50:55.384090Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ai的最大点赞数为：13292\n",
      "ai的最大点赞数的评论为第1959个评论：这个机器人也不是都是同意的[不问天_大哭]我在上面说我明天会死(说着玩的)机器人说我有更好的明天，希望我能找到快乐[不问天_害羞]简直是太感人了[不问天_干杯]\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "policy的最大点赞数为：37552\n",
      "policy的最大点赞数的评论为第5876个评论：普通人的想法是，能不生病就别生病，健健康康平平安。一定要保护好自己。任何病。\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 统计点赞数量分布。每10个点赞为一档\n",
    "def cal_like_interval(x, likes_distribution, interval_num=6):\n",
    "    if x[1] == 0:\n",
    "        # 跳过点赞数量为0的数据\n",
    "        return\n",
    "    if x[1] < 5:\n",
    "        likes_distribution[0] += 1\n",
    "    elif x[1] < 50:\n",
    "        likes_distribution[1] += 1\n",
    "    elif x[1] < 100:\n",
    "        likes_distribution[2] += 1\n",
    "    elif x[1] < 500:\n",
    "        likes_distribution[3] += 1\n",
    "    elif x[1] < 1000:\n",
    "        likes_distribution[4] += 1\n",
    "    else:\n",
    "        likes_distribution[5] += 1\n",
    "\n",
    "\n",
    "def plot_likes_distribution(positive_likes_distribution, negative_likes_distribution, data_name, interval_num=6):\n",
    "    # 绘制点赞数量分布图\n",
    "    y_max = 1.2 * max(positive_likes_distribution)\n",
    "    y_min = -1.2 * max(negative_likes_distribution)\n",
    "    ax = plt.gca()\n",
    "    ax.spines[\"bottom\"].set_position(('data', 0))\n",
    "    x_data = [i for i in range(1, interval_num + 1)]\n",
    "    plt.bar(x_data, np.array(positive_likes_distribution).astype(\"int32\"), lw=0.5, fc=\"r\", width=0.3, label=\"u_right\")\n",
    "    plt.bar(x_data, -np.array(negative_likes_distribution).astype(\"int32\"), lw=0.5, fc=\"b\", width=0.3, label=\"u_left\")\n",
    "    # 标出数值\n",
    "    for i, j in zip(x_data, positive_likes_distribution):\n",
    "        plt.text(i, j, \"%d\"%j, ha=\"center\", va=\"bottom\")\n",
    "    for i2, j2 in zip(x_data, negative_likes_distribution):\n",
    "        plt.text(i2, -j2, \"%d\"%j2, ha=\"center\", va=\"top\")\n",
    "    plt.ylim(y_min, y_max)\n",
    "    plt.title(\"{}的点赞数量分布\".format(data_name))\n",
    "    plt.show()\n",
    "\n",
    "def cal_distribution(data, data_name):\n",
    "    # 计算点赞数量的分布\n",
    "    max_likes = 0\n",
    "    max_idx = 0\n",
    "    for i, x in enumerate(data):\n",
    "        # print(x)\n",
    "        if x[1] > max_likes:\n",
    "            max_likes = x[1]\n",
    "            max_idx = i\n",
    "    if data_name == \"ai\":\n",
    "        print(\"ai的最大点赞数为：{}\".format(max_likes))\n",
    "        print(\"ai的最大点赞数的评论为第{}个评论：{}\".format(max_idx, ai_prediction_data[\"review\"][max_idx]))\n",
    "    else:\n",
    "        print(\"policy的最大点赞数为：{}\".format(max_likes))\n",
    "        print(\"policy的最大点赞数的评论为第{}个评论：{}\".format(max_idx, policy_prediction_data[\"review\"][max_idx]))\n",
    "\n",
    "    # 划分interval_num档\n",
    "    interval_num = 6\n",
    "    positive_likes_distribution = [0] * interval_num\n",
    "    negative_likes_distribution = [0] * interval_num\n",
    "    for x in data:\n",
    "        if x[0] > 0:\n",
    "            cal_like_interval(x, positive_likes_distribution, interval_num)\n",
    "        else:\n",
    "            cal_like_interval(x, negative_likes_distribution, interval_num)\n",
    "    # 绘制点赞数量的分布图\n",
    "    plot_likes_distribution(positive_likes_distribution, negative_likes_distribution, data_name)\n",
    "# print(\"ai的数据为：{}\".format(ai_pred_labels))\n",
    "cal_distribution(ai_pred_labels , \"ai\")\n",
    "# print(\"ai的点赞数量分布为：{}\".format(ai_pred_labels))\n",
    "cal_distribution(policy_pred_labels, \"policy\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4e5a7cbf",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-04-21T16:36:16.030189Z",
     "end_time": "2023-04-21T16:36:16.050465Z"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}