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Channel

Doctor的诊断记录

@Doctor9527CJRebirth

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

26,472subscribers

+2,534 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002108043838
TypeChannel
Username@Doctor9527CJRebirth
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/Doctor9527CJRebirth

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 80% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

23,93826,47225,2056 August 2026 — 23,938 subscribers7 August 2026 — 24,073 subscribers8 August 2026 — 24,164 subscribers9 August 2026 — 24,246 subscribers10 August 2026 — 24,288 subscribers11 August 2026 — 24,458 subscribers12 August 2026 — 24,514 subscribers14 August 2026 — 24,645 subscribers15 August 2026 — 24,954 subscribers16 August 2026 — 24,961 subscribers17 August 2026 — 25,061 subscribers19 August 2026 — 25,212 subscribers19 August 2026 — 25,281 subscribers20 August 2026 — 25,349 subscribers21 August 2026 — 25,440 subscribers23 August 2026 — 25,561 subscribers24 August 2026 — 25,651 subscribers25 August 2026 — 25,694 subscribers26 August 2026 — 25,835 subscribers27 August 2026 — 25,887 subscribers28 August 2026 — 25,875 subscribers29 August 2026 — 25,919 subscribers30 August 2026 — 26,035 subscribers31 August 2026 — 26,075 subscribers1 September 2026 — 26,141 subscribers3 September 2026 — 26,199 subscribers4 September 2026 — 26,270 subscribers7 September 2026 — 26,472 subscribers6 August 20267 September 2026
28 measurements spanning 32 days, net +2,534. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 23,558–26,852 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
7 Sept 2026, 21:5826,472+202
4 Sept 2026, 23:5826,270+71
3 Sept 2026, 05:5426,199+58
1 Sept 2026, 23:3626,141+66
31 Aug 2026, 23:3526,075+40
30 Aug 2026, 19:3426,035+116
29 Aug 2026, 17:4925,919+44
28 Aug 2026, 19:5625,875-12
27 Aug 2026, 22:2825,887+52
26 Aug 2026, 23:1225,835+141
25 Aug 2026, 21:3525,694+43
24 Aug 2026, 22:1425,651+90
23 Aug 2026, 09:1825,561+121
21 Aug 2026, 21:2525,440+91
20 Aug 2026, 20:2425,349+68
19 Aug 2026, 23:3325,281+69
19 Aug 2026, 00:1225,212+151
17 Aug 2026, 20:3525,061+100
16 Aug 2026, 21:5824,961+7
15 Aug 2026, 12:4424,954first reading

Engagement

26 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 66 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.6%
avg views ÷ 26,472 subscribers
Avg views / post
9,410
18 posts measured
Reaction rate
1.30%
reactions ÷ views · ER floor
Posts in window
18
of 26 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held26 (2 August 20263 September 2026)
Views total169,440
Reactions total2,201
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 13:20 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
3m 02s
Average length
11s

Measured directly from 17 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

2,628 reactions across 26 posts, in 7 distinct kinds. The most used accounts for 55.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,44555.0%
👍1,10742.1%
🔥582.21%
🤡100.381%
🎉60.228%
👏10.038%
🤩10.038%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 26 of the 26 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,628 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 2 August 2026 to 3 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
121
across the posts below
Posts paid on
20
of 26 we hold a reading for · 77%
Most on one post
12
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Doctor9527CJRebirth. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 26 most recent posts we hold for this entry, published 2 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Sept 2026, 07:00 UTC≈1,130 views4 reactionsread 3 September 2026

成都学院日报社,每日午间、晚间汇总群内消息,让你不再爬楼即可吃瓜; https://t.me/ChengDuXueYuanRiBaoShe

2👍1🔥1

2 Sept 2026, 04:00 UTC≈4,300 views24 reactions4 Starsread 3 September 2026
Photo

【花名】#阿狸 【车牌】@aliqaq520 妹儿嫌价格太低,后天就走了,成都学院不上牌,今明两天要去体验的没有报销 【价格】8P/13PP 【验证】 Doctor 【评分】Doctor ’s体验分析报告→阿狸:8.49 【硬件】见我的时候就是白色t那个照片,人照8.5层,照片有美白,25岁的短发无敌反差健身媛,看着挺甜,说话挺甜,结果床上巨主动,巨骚,小夹子反差健身媛,但是鼻子和眼睛doi过,这点扣分,身高162,体重45,胸D,乳晕小,豆豆中等偏小,凸出,利于吸吮,无科技,很挺,完全无下垂,,屁股很翘,有点小肚子,大腿很有劲,毕竟健身教练,不是排骨精,也不是胖,就是有点欧美健身的那种身材,整体皮肤中等颜色,乳晕和豆豆正常褐色,腹部有个小纹身,后背有少量的粉刺,下面毛量偏少,浅褐色,掰开后粉嫩(而且是自己掰开),一线天,有包裹感和褶皱感,水量较多,小鸡儿偏紧,很会夹; 【软件】大蟒蛇、三件套、水中萧、艳舞、一字马、

20👍2🔥2

1 Sept 2026, 14:43 UTC≈5,530 views115 reactions2 Starsread 3 September 2026

Posted without readable text

61👍46🤡4🔥3🤩1

1 Sept 2026, 04:01 UTC≈5,880 views98 reactionsread 3 September 2026
Video

😀成都会所全城安排😀🫠🫠🫠🫠 🌸 【服务流程】: 皇帝助浴-指尖漫游-精油开背-鼻尖温息-耳边淫语-舌尖漫游-A面骑士-B面骑士-柔式按摩-花式调情-水漫金山-漫水吹箫-后口毒龙-深情直入-激情啪啪-姿势配合-抒情释放-美女助浴清洁更衣 💟 见人满意付款-【时间不到服务不停】 🚨 SPA会所相对于外围来说更加安全,风大雨大,PC出击【身体安全】最重要!!! 🚨 咱家口碑店无定金预约-【不用担心被骗定金】,实体大店-不到店在Tg无一分钱定金!!! ⚠️ 【注意】:玩快餐的请饶步!!! SPA会所主打95 98花式SPA服务-流程式服务-全程酥酥麻麻的感觉-当您做完一套完整的服务,下次与女朋友约会的时候,会特别明显的感觉到自己时间久了,硬度会有明显的增强!! 🚀 SPA预约介绍-客服:@cdmsk888 双向联系机器人:@cdmsk_bot 🫠 主动才会有故事---专做回头客 🫠

56👍41🔥1

31 Aug 2026, 04:00 UTC≈8,750 views154 reactions8 Starsread 3 September 2026
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【花名】#千岛 【车牌】@qiand23 【价格】6P/10PP 【验证】 Doctor 【评分】Doctor ’s体验分析报告→千岛:8.51 【硬件】07年的妹妹,18岁的小蛋糕,酷爱COS,平时的穿搭也是很萝莉,眼睛很大,整体颜值很不错,很有特点,155,80多斤,胸C且完全无下垂,很挺,乳晕和豆豆中等大小,有小肚子,小矮矮大奶奶,屁股肉多,而且很Q弹,腿有肉,但不粗,就配合她的身材,刚刚好,恰到好处,乳晕和豆豆都是粉色,手臂有纹身,有点玉玉症的花刀,全身皮肤中等偏黄,下面毛量偏多,馒头逼,一线天,颜色褐色,掰开后粉嫩,有包裹感和褶皱感,水量较多,小鸡儿松偏紧,很会夹,做爱反馈佳,边夺边蛇,后入的时候,自然的下腰,一对翘臀全部展示在面前,加速冲刺的时候,臀浪和撞击声,太刺激; 【软件】大蟒蛇、三件套、69、制服等课表内容 【体验】这是我第二次约千岛,还是在商场接到了她,她在KFC店里面,一个人呆呆的坐那,隔着

93👍60🔥1

30 Aug 2026, 15:59 UTC≈7,560 views34 reactions2 Starsread 3 September 2026
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【花名】#小福 【车牌】@fu0813 【价格】8P/13PP #报成都学院写报告减1 【验证】Mystery 【评分】Mystery’s体验分析报告→小福 :8.39 【硬件】湖南妹妹,人照8.5,年龄22左右,脸上有整容的痕迹,但看着还是比较自然,身高167,体重93,身材匀称偏排骨,科技胸C,腹肌明显,但大概率还是整容的,全身无纹身,正常肤色偏白,乳房下方有隆胸疤痕,小腹处有腹肌微调疤痕,乳晕和豆豆正常大小、正常褐色,逼型为蝴蝶,毛量正常,有修剪的痕迹,外侧正常褐色,内侧粉嫩,平时不抽烟,但客人要求的话也能陪着抽一根。 【软件】大蟒蛇、制服、舔胸等课表内容,很是魅惑,做的时候大眼睛时不时的就看向你,主动邀请舌吻,做爱比较舒服,进入后下面包裹感很强,水也多,牛牛一直有被锢住的感觉,服务主动,就是女上比较菜鸡,算是比较外向的妹妹,情绪价值也不错。 【体验】听到锅锅说有个外地过来的高颜值自聊妹妹要上牌,心里还是比

23👍9🔥2

29 Aug 2026, 16:00 UTC≈6,540 views24 reactions10 Starsread 2 September 2026
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【花名】#眠眠 【车牌】@ManM668o 【价格】8P/13PP #报成都学院写报告减1 【验证】Mystery 【评分】Mystery’s体验分析报告→眠眠 :8.52 【硬件】19岁,四川妹妹,人照9,一眼就能感觉到青春的气息,大眼睛扑闪扑闪的,身高腿又长,身高172,体重88,极致排骨精,浑身无一丝赘肉,胸A,乳晕和豆豆正常大小、正常褐色,右手有纹身,同时左腿有大量纹身,正常肤色偏白,逼型为蝴蝶,毛量较为浓密,外侧正常褐色,内侧粉嫩,要抽烟,但舌吻无烟味,房间也无烟味,抽烟都是在另一个房间。 【软件】舌吻、制服、舔胸等课表内容,做爱相当舒服,下面紧、润,水很多,小鸡鸡很快就被秒了,女上菜鸡,很敏感,短短的时间也能看出是很爽的样子,不算是E人但也不是内向那种,能很好地陪你聊天,有情绪价值,蛇吻很主动,蛇得也很久,蛇蛇精狂喜。 【体验】可爱的她,从上海回来了!!! 可能是最近转身太多,锅锅们决定给我一个好的

18👍5🔥1

27 Aug 2026, 15:00 UTC≈8,290 views21 reactions7 Starsread 1 September 2026
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【花名】#星阑 【车牌】@xinglany 【价格】8P/14PP #报成都学院写报告减1(前一周) 【验证】 Doctor 【评分】Doctor ’s体验分析报告→星阑:8.36 【硬件】21岁的女大,四川妹妹,看第一张照片8层相似,其他照片是ai,身材很御,但是长相甜美,巴掌大的脸,小脸长身,身高170,体重85,胸a,豆豆和乳晕都很小,排骨精,身体和腿的比例极好,腿很长(见无滤镜实拍视频),腰很细,居然还有我最喜欢的直角肩,整个身材确实硬件很顶,仅限喜欢排骨精,全身无纹身,皮肤光滑细嫩,肤质很好,黄白皮,豆豆和乳晕都很小,颜色异常粉嫩,刚脱衣服乳头凹陷,亲吻之后,里面凸出,小豆豆太可爱了,下面毛量偏少,户型为一线天,外侧浅褐色,内侧粉嫩,大腿皮肤也很丝滑,进入后有明显的包裹感和褶皱感,小鸡儿觉得紧,后入简直受不了,白浆特别多,做爱的叫声也是我出击过这么多女孩子最特别的; 【软件】大蟒蛇、三件套、69、制服等课

18👍2🔥1

27 Aug 2026, 04:00 UTC≈7,020 views22 reactions8 Starsread 30 August 2026
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【花名】#纯纯 【车牌】@chunchun041 【价格】8P/13PP #报成都学院写报告减1 【验证】Mystery 【评分】Mystery’s体验分析报告→纯纯 :8.31 【硬件】21岁江西妹妹,人照8.5分左右,视频去掉美颜,本人偏欲一点。整体妆容偏成熟,十分契合她的风格。身高162左右,体重100左右。胸D,肚子稍微有一点肉,肉集中在屁股和大腿上,梨形身材,微胖。皮肤颜色中等偏黄,没有纹身,乳晕正常浅褐色,乳头凹陷,下面人工白虎,外褐内粉,户型好看; 【软件】舌吻、制服、舔胸舔蛋舔耳朵、指滑、三件套、大蟒蛇十分主动,会聊天,情绪价值十分到位,从进门开始到出门,一直有在聊天没有冷场,会主动找话题,能接话题不是简单的一问一答。声音带点口音,但无伤大雅。 【体验】刚下了雨,天气凉快正是出击的时候。恰巧碰到医生锅锅来了任务,锅锅说代聊原话是服务超级超级好,情绪价值超级到位,互动一点不在话下,体验销魂的很。果断领

18👍3🔥1

25 Aug 2026, 03:59 UTC≈9,930 views304 reactions7 Starsread 30 August 2026
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【花名】#啾啾 【车牌】@jiu520jiu99 【价格】8P/14PP 【验证】 Doctor 【评分】Doctor ’s体验分析报告→啾啾:8.53 【硬件】20岁马上大二的可可爱爱山东妹妹,果然山东出美女,和第一个视频9层,是我喜欢的类型,可爱中有俏皮,俏皮中又有她独特的美丽,加上她的一对小虎牙,可爱的buff被她叠满,身高170,体重95,胸C(无科技),很挺,完全无下垂,乳晕较大,豆豆较小,腰部无赘肉,没有小肚子,大长腿,屁屁有肉,大腿有肉,小腿细,大面积纹身扣大分,皮肤颜色中等偏黄,乳晕和豆豆正常浅褐色,下面人工白虎,外褐内粉,她真的好听话,第一次见她的时候,我叫她全部刮了,今天见面还骄傲的跟我说,现在下面是白虎了,她真的太可爱了,进入后有明显的包裹感和褶皱感,小鸡儿觉得紧,感觉水也很多,很润,她怎么这么会夹,也许我和她是契合的,射完之后,鸡儿居然还是梆梆硬的; 【软件】大蟒蛇、三件套、69、制服等课表内

157👍146🔥1

24 Aug 2026, 08:30 UTC≈8,210 views53 reactions6 Starsread 29 August 2026

【第二届成都学院徐志摩杯 · 眉间雪】 他们说,诗人的笔尖要蘸满月光, 才能写出惊动山河的诗行。 可你不知道—— 有些深情,不必大声, 只消一个垂目的瞬间, 便让整座人间失了声响。 第一届的龟龟在信里写: “可惜我没有惊艳绝伦的脸,所以请你记住我看向你的眼。” 那时我们才懂—— 原来最滚烫的告白, 从来不是玫瑰与颂歌, 而是甘愿把万丈光芒, 折成一道只照向你的侧影。 如今,第二届“徐志摩杯”如约而至。 这一次,我们不说“爱”, 只说那些“被看见”的刹那—— 是作业本上洇开的红笔圈点, 是走廊尽头那盏等你收卷的晚灯, 是有人把你皱起的眉头, 悄悄写进了自己的天气预报。 【评选规则】 在此条评论下,写下你心中“最像诗”的那个瞬间(必须在成都学院报告库,可以附上报告库链接)。 ——那个人或许没有站在光里,却让你的世界,从此有了晨昏。 回复时限:一周(逾期不候)。 统计所有留言后,留言数前十(并列则增额)进入终极投票。

30👍16🔥7

20 Aug 2026, 09:00 UTC≈14,000 views238 reactions5 Starsread 28 August 2026
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【花名】#乐乐儿 【车牌】@leleer99 【价格】7P/11PP 【验证】Mystery 【评分】Mystery’s体验分析报告→乐乐儿 :8.41 【硬件】21岁,重庆妹儿,去照片美白人照9,身高160,体重80,正常肤色偏白,排骨精,浑身无一丝赘肉,胸B,乳晕正常大小,豆豆稍大一点,但也不影响观感,二者颜色正常,腹部有马甲线,全身无纹身,人工白虎,逼型为馒头,外侧正常褐色,内侧粉嫩,会抽烟,但舌吻无烟味。 【软件】舌吻、制服、舔胸等课表内容,做爱相当主动,能很好地找到你的敏感点,蛇蛇怪,不是在蛇就是在蛇的路上,除了后入可以说各个姿势都在蛇,姿势也可以随意切换,下面紧、润,小鸡鸡爽到飞起,话痨,会聊天,i人福音,能带动情绪价值,让人想要和她聊天,不会感到尴尬。 【体验】经历了6连转身后,看到医生锅锅发来的任务,第一眼就感觉比较熟悉,在其他群看到过,印象里口碑还挺好,心想这次应该不会转身了,于是满怀期待地前往约

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Showing the 12 most recent of 26 posts we hold for @Doctor9527CJRebirth. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@Doctor9527CJRebirth edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
25 August 2026
Most recent edit
25 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 15 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 September 2026 — this entry's latest reading, not the date you are reading this.

“Doctor的诊断记录” (@Doctor9527CJRebirth), 26,472 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/Doctor9527CJRebirth.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.