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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

27,448subscribers

+3,510 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
DescriptionDoctor的出击回忆录 老师形态各异,灵魂异常有趣
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 live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 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

23,93827,44825,6936 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 subscribers10 September 2026 — 26,943 subscribers12 September 2026 — 27,088 subscribers14 September 2026 — 27,160 subscribers16 September 2026 — 27,237 subscribers18 September 2026 — 27,448 subscribers6 August 202618 September 2026
33 measurements spanning 43 days, net +3,510. 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 23,412–27,975 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 11:1927,448+211
16 Sept 2026, 01:2127,237+77
14 Sept 2026, 07:5827,160+72
12 Sept 2026, 20:1427,088+145
10 Sept 2026, 19:3826,943+471
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, 20:2425,349first reading

Engagement

36 posts held, back to 2 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 79 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.2%
avg views ÷ 27,448 subscribers
Avg views / post
9,120
16 posts measured
Reaction rate
0.809%
reactions ÷ views · ER floor
Posts in window
16
of 36 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 26 September 2026
Posts held36 (2 August 2026 – 26 September 2026)
Views total145,990
Reactions total1,181
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 12:41 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

Photos
987
Videos
210
Links
196

Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 32s
Average length
11s

Measured directly from 20 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

3,380 reactions across 36 posts, in 8 distinct kinds. The most used accounts for 56.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,90256.3%
👍1,37840.8%
🔥772.28%
🤡130.385%
🎉60.178%
🖕20.059%
👏10.03%
🤩10.03%

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 36 of the 36 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 3,380 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 2 August 2026 to 26 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
149
across the posts below
Posts paid on
29
of 36 we hold a reading for · 81%
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 36 most recent posts we hold for this entry, published 2 August 2026 to 26 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

26 Sept 2026, 05:07 UTC≈3,690 views8 reactionsread 29 September 2026
Photo

🎰 🎉成都学院4w人啦🎉 📮 参与条件: 🎫 加入-成都学院日报社 🎫 加入-成都学院 🎫 加入-成都学院已验证老师精选车库 🎫 加入-Doctor的诊断记录 🎁 奖品内容: 💰️ 成都学院已验证老师精选车库任选RMB1000白嫖报销券; × 1 ⚠️ 抽奖说明: 🎉庆祝成都学院4万人🎉 ❗️无用户名、炸号、中奖后退出群组或频道不予兑奖; ❗️中奖后需要在48小时内联系兑奖人兑奖,过时不兑换,不能转让; ❗️开奖前在Doctor的诊断记录有点赞和评论记录才能兑奖; 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年09月29日 12时00分00秒

❤8

25 Sept 2026, 04:58 UTC≈5,230 views63 reactions1 Starread 29 September 2026

桂魄流辉,盈亏俱作圆满; 尘世此宵,清欢便是团圆。 愿你怀藏琉璃月,照见欢喜,亦照见山河辽阔,更照进妹妹们的床沿; 医生锅锅祝大家中秋快乐;

❤32👍28🔥3

19 Sept 2026, 04:00 UTC≈13,300 views147 reactions3 Starsread 29 September 2026
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#月月酱 @yyj520yy 2小时3次,中间没有停歇,这,也许就是为了弥补前两次的遗憾· · · · · · 2月年初,那是春季,是我第一次见她,那次我可耻的软了,5月,转眼来到了夏季,我们第二次见面,那一次,我全程没硬,一个半小时,月月酱使出浑身解数,牛子还是软绵绵,我和她均陷入自我怀疑和否定的陷阱中不可自拔,我怀疑我自己是不是杨威,她怀疑她自己是不是没有魅力,甚至一度让我不敢约她,已经PTSD了; 时光如梭,经过一场秋雨,成都的天气已然从最爆裂的酷热,变为清爽而又带着一丝凉意的初秋,不管是为了思念她,还是为了打破心中的魔咒,亦或是两者都有,就此决定,那我们还是再见一面吧; “医生哥哥,我到了”,她的信息出现在对话框中; “等我,马上到”,我对她回复到; 电梯厅,我接到了她,她有着极好的腰臀比,细腰宽胯,穿着一件露脐装,显示着她美好的身材,好吧,我承认,这次刚刚见面,下面已经微微一硬,以表尊敬; 到了酒店里面我…

❤98👍39🔥7🤡3

18 Sept 2026, 16:00 UTC≈10,500 views20 reactions2 Starsread 29 September 2026
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为提前庆祝国庆探花家包养期间活动 介绍费全部 7 折 介绍费全部打折 打折 全网最低价格 活动期间入会员300抵500,888抵1288,首单最低3500元 大家不用担心我们是骗子,我们已入驻全国各地出击群,可以进交流群查看,并且我们成交记录每笔交易都支持录屏抽查 妹子费用以下 1w陪8天, 2w满30天 1.5陪20天 3k陪4天 5k陪6天 8k陪 7天 1w处女 见面不满意介绍费可换可退 交流群 https://t.me/tzthzyq 频道 @tanhuabaoyangzhinan 客服中心 @xiaoshansxbot PS:兔子探花在我这里上缴1000U压押金

❤15👍4🔥1

18 Sept 2026, 09:00 UTC≈12,000 views69 reactions4 Starsread 29 September 2026
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【花名】#乐乐儿 #七七 【车牌】@leleer99 @wuhouqiqi 【价格】2000PP #双飞 【验证】 Doctor 【评分】Doctor ’s体验分析报告→七七/乐乐儿:8.45 【硬件】乐乐儿,重庆妹儿,人照8.5,七七,湖北妹儿,人照8.4,乐乐儿小家碧玉,七七典型御姐,有点反差,乐乐身高158,体重82,胸A,豆豆中等偏小,乳晕小,排骨精,无赘肉,屁屁有肉,腿细;七七身高165,体重90,胸a,豆豆中等偏大,乳晕小,排骨精,无赘肉,屁屁有肉,腿又细又长;乐乐全身无纹身,皮肤较白,乳晕和豆豆正常褐色,下面浅褐色,小蝴蝶,接近一线天,全身皮肤都很滑,特别是后背和屁屁;七七全身无纹身,皮肤中等颜色,乳晕和豆豆偏深褐色,下面偏深褐色,蝴蝶逼,腿皮肤巨滑无比;乐乐和七七都是白虎,乐乐下面要更紧且浅,两人的水都很多,七七紧度中等,乐乐的包裹感和褶皱感甚至于夹得有点痛; 【软件】大蟒蛇、三件套、69、水中萧、回…

❤46👍22🔥1

15 Sept 2026, 14:59 UTC≈11,000 views89 reactions4 Starsread 29 September 2026
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#言 @yh188288 9月,初秋的成都还是弥漫着难以消除的热气。 这不知道是和她第几次见面了,每次见面她给我的感觉都不一样; 今天的她,还是白色针织薄长袖,下半身换了一件淡粉色的裙子,穿了一双拖鞋,提着一个白色的小包包,搭配了一个淡粉色的玩偶,清新、淡雅,衣服与包包,包包与玩偶,整体的搭配完全相得益彰; 她还是坐在那颗大树下面,她说过她很喜欢有树、有风、有雨的地方和时光,她如同古时画中仙子,端庄的凝聚在那一刻的时光中; 握着她的柔荑,如同牛奶版的丝滑,她,总会很好的保养好自己的身体,对自己要求很高,不管是身体上,还是思想上,也许这就是我愈发喜欢和她呆在一起的原因,也许这就能解释,为啥她能获得第二届心尖尖榜首,她如同一坛美酒,懂得品尝她的人,越发的觉得她美味且难得; 关上门,我们抱在一起; “我这几天在家里,胖了两斤,天天大吃大喝”,她说; “但是我觉得刚刚好,你太瘦了,正好合适”,我说; “可惜没长在应该长…

❤55👍32🔥1🖕1

15 Sept 2026, 09:30 UTC≈9,820 views89 reactions3 Starsread 29 September 2026
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#椰子 @yeziyezi121 #报成都学院写报告减1 她还是听劝~~~~~~

👍45❤43🔥1

14 Sept 2026, 14:30 UTC≈11,800 views115 reactions4 Starsread 29 September 2026
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#沅希 @yuanxi5200 7月是我们的第一次见面,见面之后,我和她就约定好,后面会再一次见面,在8月中旬,我们其实已经约了,可惜事与愿违,终究还是被琐事耽误; 9月,我与她相约在离她家很远的地方,我和她冒雨而至; 我先到了,停车的时候,看到一个美女与我共同走进酒店,一眼我就看出来,她是老师,居然有人和我一样,在大白天喊妹妹到酒店来,我办理好入住之后,拿着卡,看着妹妹在电梯厅等着,一手拿着手机,一手不停的张望电梯门,好家伙,我都想走上前去问她,需不需要我帮她刷卡了,转念一想,还是不要打扰别人的好事,达咩,达咩~~ “我到啦”,随着她的信息,还有一张电梯厅的照片,我三步并做两步往下走; 叮,电梯开门,我看见了她,她看见了我,她对我笑了,我对她招手,她随着我的招手进了电梯; 进了酒店她就对我说,这边离她住的地方是真的超级远,打车过来40分钟,那我肯定是抱着她说抱歉啦,我们互相对坐着就这样聊着天; “你又瘦了哎…

❤64👍49🔥2

10 Sept 2026, 15:00 UTC≈19,000 views49 reactions4 Starsread 29 September 2026
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【花名】#言欣 【车牌】@yanxinbaobei 【价格】10P/16PP 【验证】 Doctor 【评分】Doctor ’s体验分析报告→言欣:8.60 【硬件】20岁的北方妹妹,五官非常立体,颜值非常高,和穿白衣服视频9层,甚至于其实我对她说的,你的照片视频都没有你本人好看,身高170,体重90,胸b,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),无一点点赘肉的腰,妹妹的腰杀人的刀,腰很细,直角肩,大腿无赘肉,细长的大腿,全身无纹身,皮肤光滑细嫩,肤质很好,黄白皮,豆豆中等大小,乳晕都小,颜色褐色偏粉,下面人工白虎,户型为一线天,外侧浅褐色,内侧粉嫩,大腿皮肤也很丝滑,包裹感和褶皱感一般,小鸡儿觉得比较松; 【软件】大蟒蛇、三件套、69、制服等课表内容 【体验】她提前到了,还买好了奶茶等着我,在奶茶店找了一圈,结果她在外面坐着; “哎呀,外面好热,你咋不坐里面去呀” “有点点害羞…

❤39👍8🔥2

8 Sept 2026, 15:20 UTC≈16,500 views103 reactions3 Starsread 29 September 2026
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【花名】#小豆丁 【车牌】@xddb688 【价格】6P/11PP 【验证】 Doctor 【评分】Doctor ’s体验分析报告→小豆丁:8.51 【硬件】20岁的河南妹妹,神似桥本有菜,人照8.5,视频即本人,身高165左右,体重85左右,标准排骨精,胸B,无科技,无下垂,很挺,豆豆中等大小,乳晕小,腰很细,屁股很翘,屁股有肉,虽然不是很高,但是因为腿很细,显的一双大长腿视觉效果很好,乳晕和豆豆都是浅褐色,全是无纹身,皮肤颜色中等,正常黄皮,下面毛量偏多,外褐内粉,小蝴蝶(很小),皮肤光滑无痘印,腿部有几个因为玉玉症导致的烟头烫伤的疤痕,有包裹感和褶皱感,水量较多,小鸡儿松偏紧,做爱反馈佳,边夺边蛇,夺到高潮的时候,主动叫我掐她的脖子,很强烈的想要被夺,想要被爱抚的情绪; 【软件】大蟒蛇、三件套、69、制服、舔胸等课表内容 【体验】今天tg又抽风了,导致中午的时候,我的号一直不能发消息,最后用我的小号给代姐发了…

❤57👍44🔥1🖕1

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
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【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

Showing the 12 most recent of 36 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 17 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Doctor的诊断记录” (@Doctor9527CJRebirth), 27,448 subscribers as measured 18 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.