这是第二个包养妹妹; 在读大二的女大,还是一样,日感很好,因为很紧,最初进去的时候,可以说是非常难进,洞口小,包裹感强; 第一天被秒了,第二天桩了很久没射,我也是神一下,鬼一下; 耍了两个包养妹妹,一个高二,一个大二,两个都耍了一次,就感觉有点腻了,我这个破碎的时间,包养也确实不适合我; 适合时间宽裕的同学,包养妹妹会的很少,良家感更多; 还有,喜欢拉扯的同学可以试试,还是好玩;
❤22👍4🔥1

Channel
@Doctor9527CJRebirth
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Cite this entry
28,929subscribers
+4,991 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002108043838 |
|---|---|
| Type | Channel |
| Username | @Doctor9527CJRebirth |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/Doctor9527CJRebirth |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 23:19 | 28,929 | +45 |
| 25 Oct 2026, 00:38 | 28,884 | -1 |
| 24 Oct 2026, 02:17 | 28,885 | +119 |
| 23 Oct 2026, 00:26 | 28,766 | +58 |
| 21 Oct 2026, 22:31 | 28,708 | +26 |
| 20 Oct 2026, 16:37 | 28,682 | +29 |
| 19 Oct 2026, 16:50 | 28,653 | +43 |
| 18 Oct 2026, 17:28 | 28,610 | +63 |
| 17 Oct 2026, 19:48 | 28,547 | +27 |
| 16 Oct 2026, 21:59 | 28,520 | +35 |
| 15 Oct 2026, 03:09 | 28,485 | +20 |
| 13 Oct 2026, 21:36 | 28,465 | +47 |
| 10 Oct 2026, 14:41 | 28,418 | +67 |
| 6 Oct 2026, 08:56 | 28,351 | +484 |
| 1 Oct 2026, 06:01 | 27,867 | +419 |
| 18 Sept 2026, 11:19 | 27,448 | +211 |
| 16 Sept 2026, 01:21 | 27,237 | +77 |
| 14 Sept 2026, 07:58 | 27,160 | +72 |
| 12 Sept 2026, 20:14 | 27,088 | +145 |
| 10 Sept 2026, 19:38 | 26,943 | first reading |
51 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 135 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 23 October 2026 |
|---|---|
| Posts held | 51 (2 August 2026 – 23 October 2026) |
| Views total | 170,700 |
| Reactions total | 952 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 20:10 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.
Measured directly from 29 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.
4,392 reactions across 51 posts, in 11 distinct kinds. The most used accounts for 57.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,516 | 57.3% | |
| 👍 | 1,751 | 39.9% | |
| 🔥 | 96 | 2.19% | |
| 🤡 | 13 | 0.296% | |
| 🎉 | 6 | 0.137% | |
| 🤨 | 3 | 0.068% | |
| 🖕 | 2 | 0.046% | |
| 😱 | 2 | 0.046% | |
| 👏 | 1 | 0.023% | |
| 😁 | 1 | 0.023% | |
| 🤩 | 1 | 0.023% |
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 51 of the 51 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 4,392 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 2 August 2026 to 23 October 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.
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 51 most recent posts we hold for this entry, published 2 August 2026 to 23 October 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.
这是第二个包养妹妹; 在读大二的女大,还是一样,日感很好,因为很紧,最初进去的时候,可以说是非常难进,洞口小,包裹感强; 第一天被秒了,第二天桩了很久没射,我也是神一下,鬼一下; 耍了两个包养妹妹,一个高二,一个大二,两个都耍了一次,就感觉有点腻了,我这个破碎的时间,包养也确实不适合我; 适合时间宽裕的同学,包养妹妹会的很少,良家感更多; 还有,喜欢拉扯的同学可以试试,还是好玩;
❤22👍4🔥1
【花名】#露思 【车牌】@xlusi8 【价格】7P/12PP 【验证】Mystery 【评分】Mystery’s体验分析报告→露思:8.29 【硬件】长春妹妹,人照9,基本和照片一致,年龄19,算得上中上颜值的嫩妹,整体妆造比较自然,身高170左右,体重90左右,排骨身材,胸A,腹部有些许马甲线,正常肤色,右臂和右大腿有纹身,左小臂有烟头烫伤疤痕,乳晕和豆豆正常大小、正常褐色,逼型为一线天,毛量正常,外侧正常褐色,内侧粉嫩。 【软件】课表都有,下面进入后紧致,水多且敏感,屌感很舒服,对比较内向的人来说情绪价值一般,服务时间偏短,服务态度好,无机车行为,要抽烟。 【体验】消失了2个月,不是我不想上牌,只是我的标准一直都在那里,不会因为转身太多就降低,妹妹的质量一直不行那我就一直转,尽量保证学院同学的出击体验。在一言难尽、时长将近2个月的24连转身后,终于遇到一个还算不错的了。 进门发现露思俏生生的站着,身着粉色上…
❤18👍2🔥1
#柠 @ningdening #报成都学院写报告减1 只有首周,我已尽力,PUA不动了; 东北妹妹,人照9分,年龄19,身高168,体重90左右,胸B,全身皮肤很好,很滑,白皮,后背有大面积纹身,豆豆和乳晕小,很粉很嫩,有可爱的小肚子,下面毛量中等,一线天,户型很好看,很粉很嫩,很紧,褶皱感和包裹感很明显,水量偏少,全身很敏感,特别是耳朵和脖子; 她在秋日的阳光下,等着我,粉色针织小裙子,白色小包包,浅咖色小外套,她可爱的小肚肚在紧身裙上显现,异常可爱; 我和她,一起步入酒店,坐在沙发上,阳光从窗外洒向屋内,破碎在我们的身上,我与她对望,她带了好看的美瞳,在阳光下,显得熠熠生辉; 我与她可能是契合的吧,我压在她的身上,她也压在我的身上,我与她有了久违的恋爱感,不只是身体上,还有心理上; 最后,留下一张,她可爱的梳子作为纪念; 【总结】这是一款久违的甜妹,她甜甜的笑容,刚刚进入时,略微皱眉的眼角,激动的时候不自觉的…
❤13👍6🔥1
【成都蓝润私影剧本杀】 本店助教均为 18-23 岁高颜值在校女大,均为全职助教,杜绝劣质跑场妹,到店海选,不满意不收任何费用 五大主题房间环境 1.古风雅室 2.总裁办公室 3.VIP男科病房 4.冬日雪林 5.沉浸太空舱 门店地址:市中心店:太古里附近 南门新店:天府五街附近 😀【点击进入主频道】 😀 【点击进入群聊】 😀【点击查看反馈报告】 😀:@chrischan199 报成都学院直接减50
❤35👍32🔥1
#婉仪 @ssssu5220 #报成都学院写报告减1 这是我们的第二次见面,她还是一如既往的婉约; 这次,她情绪价值更高了,远远的就和我招手,见面就挽着我,并牵着我的手,到了酒店,就抱紧我的胳膊,与我诉说着最近发生的事情; 比如她用小号在群里面看同学们聊天,天天吃瓜,还输入开课老师,被我逮着,在报告库看自己和其他老师的报告,学习并进步,有这个态度非常好; 她增加了水中萧、还有回笼箫,知道学院的同学们喜欢女友感和情绪价值,这次确实改变了很多,也增加了许多让同学们愉悦的项目; 想体验进化后的婉仪,同学们可以去试试; 以上,共勉~~~~~~ 👉【成都学院】👈,车库老师八折报销
❤46👍23🔥1
包养妹妹,小杨,长相酷似XX,高二休学女生,舌吻技巧很差,口的技术很差,化妆技术也一般,身体条件好,身娇、腰柔、易推倒; 皮肤很白,胸A,乳晕和豆豆都很小,很粉嫩,下面一线天,没有一点黑色素沉淀,很粉嫩嫩,洞口小,很紧,水很少,10分钟就肿了; 后面不忍心折腾她,相当于就做了一次; 【总结】优点:良家感强(其实就是啥都不会),可以随意加项目;缺点:不适合时间不自由的同学,很不耐日(仅限小杨而言); 以上,共勉~~~~~~ 👉【成都学院】👈,车库老师八折报销
❤46👍38🔥1
南门老表~嫩妹工作室 老表出品,必是精品,成都精品、全是高质量甜妹、嫩妹、小御姐、顶级少萝、喷水、白🐯、巨乳、在校女大、首次下海纯二处妹妹、骚的批爆的、紧的批爆的,样样齐全 每月上新5➕ 每日开课12➕ 专做回头客,欢迎体验嫩妹应该有的服务及态度,上课找老表,绝对不踩坑👏 联系老表: @A549148 老表家嫩妹选妃: https://t.me/qiqi_121213
❤30👍20🔥2
#言欣 @yanxinbaobei #报成都学院写报告减1 还是在商场的门口等我,我在马路的这边,她在马路的那边,她看见了我,我也看见了她,隔着马路,我们彼此相忘; 走近...... 她对我开心的笑了,在秋日的阳光下,看着漂亮的她开心的笑着,我的心,也跟着舒畅开来; “哇塞,你变帅了” “你还是那么漂亮” 两人相互夸赞彼此,当然我是肺腑之言,她,本就漂亮,她却应该是恭维,我本哥布林,对此,我有自知之明; 慢悠悠走在去酒店的路上,一直讨论着成都的吃的,其实我的内心,是愿意带着她去吃很多好吃的,毕竟秀色可餐,漂亮的她,配上漂亮的饭,应该更加的可口; 进入酒店,牵着她坐在沙发上,我在她的对面坐下,地给她一瓶矿泉水,切换为严肃脸‘ “你知道我为什么第二次见你吗?” “我大概知道,代聊给我说了,我被你下牌了”,她带着委屈的神情; “那你知道我为什么给你下牌吗?” “代聊跟我说的是我有两个差评” “宝贝你知道吗,成…
❤53👍34🔥1
【花名】#苏洛 【车牌】@sluobb 【价格】8P/13PP #报成都学院写报告减1 【验证】 Doctor 【评分】Doctor ’s体验分析报告→苏洛:8.40 【硬件】21岁的四川妹妹,真实姓名很有特点,人照9分,标准小红书网红脸,鼻子动过,本人一眼惊艳的妹妹,黑色视频在酒店当面拍摄,人照无差;身高168,体重90左右,排骨精,胸C很挺(科技),豆豆和乳晕小,小腹平坦无赘肉,下面毛量中等偏少,就中间有一撮,下面小蝴蝶,一线天,基本没有阴唇外翻,腿长,也细。全身皮肤很紧致,皮肤也是偏冷白皮,全身也没有痘印等皮肤问题,乳晕和豆豆粉嫩,下面也很粉嫩,可惜身上纹身较多,且隆胸的时候有两道手术后的刀疤,很影响观感,进入后有明显的包裹感和褶皱感,比较紧,很敏感,夺几下就很多水,主要户型很好看,过程中,大蟒蛇管够,各种姿势很配合,还没出汗就射了,可惜了; 【软件】大蟒蛇、三件套、69、制服等课表内容 【体验】最开始看照片…
❤65👍32🔥2
#言欣 @yanxinbaobei #报成都学院写报告减1 有句话说的好:人教人,百言无用,事教人,一次入心; 今天和她在一起2个小时,聊了很多,她也意识到自己的错误,在我面前一再保证一定要有情绪价值,一定要有女友感,一定态度好; 经历过下牌,她才知道同学们的喜欢,不是能随意给出去的; 后续如果还有差评,只要有一个,全额退款(非恶意及故意刁难)并下牌; 我还是太喜欢她的颜了,整改后重新上牌; 今天的她,确实和以前不一样了,她终于知道同学们的评价显得尤其弥足珍贵; 重新上牌首周报成都学院写报告减1
❤10👍2🔥1
📱📱半套,全套,全套大海选推荐 🥰🥰武侯立交,红牌楼,天府新区,都是自己家的店,质量高,环境好,可以泡澡,环境超一流。(我都是我们自己的店,知根知底,质量比市面上大部分店好) 📱📱📱其他区半套:市中心九眼桥,天府六街,双流航空港,航空港,华阳四河,青羊区,新都,大丰,双流海滨城,成华建设路,东站奥园,崇州,简阳,郫县等 📣📣全套大海选:武侯区南站全套大海选,价格1500.1700.1900都是做爱两次,服务一样妹子不同,(相当于外围中圈,中大)排排选,接待请客逼格拉满。 📱📱📱全套推荐:成华区建设路,武侯区九眼桥,华阳南湖公园附近。双流高端全套,南门火车南站,市中心武侯区,华阳牧华路三段,西门金沙等。 📱📱📱📱📱🥰🥰🥰🥰🥰 客户评价: https://t.me/aliangdechngdu 阿良对会所的理解:@axinghuisuo888 🔊🔊:请多看频道置顶内容👌👌 电报预约:@vip159s 双向:@Al…
❤24👍8🔥1
同学们太热情了,最近太忙了,没怎么上线,等把这段时间忙完,再说ts的事情; 最近陷入无比繁忙的工作和生活当中无法自拔,被生活这座泥潭束缚住; 所以,有好看的ts请给我推荐一下,我会履行我的承诺,谢谢大家; 居然给我投了1717票,我真的太谢谢你们嗷(一万只XXX奔腾而过)……
❤21👍13🔥2
Showing the 12 most recent of 51 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.
@Doctor9527CJRebirth edited 3 posts 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
医生要不要去日一个TS
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 51 most recent posts we hold, published 2 August 2026 to 23 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Named by 16 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@Doctor9527CJRebirth named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“Doctor的诊断记录” (@Doctor9527CJRebirth), 28,929 subscribers as measured 25 October 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.