Telegram RegisterThe public register of Telegram

Channel

成都学院报告库

@ChengDuXueYuanBaoGao

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,919subscribers

+61 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002306634076
TypeChannel
Username@ChengDuXueYuanBaoGao
Description提供给同学们一个纯粹、公益且不带任何利益的讨论和交流平台。 回到我们来电报的最纯粹的目的,就是为了找到更优质的老师,上更好的课。 学院: @ChengDuXueYuan 车库: @ChengDuXueYuanCheKuS3 报告: @ChengDuXueYuanBaoGao
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/ChengDuXueYuanBaoGao

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ChengDuXueYuanBaoGao/5671 · this entry6 Aug 2026, 12:53 UTC@isnanapindao/1916 Aug 2026, 13:32 UTC1.0040 minutes
@ChengDuXueYuanBaoGao/5685 · this entry7 Aug 2026, 07:20 UTC@isnanapindao/1937 Aug 2026, 07:22 UTC1.002 minutes
@ChengDuXueYuanBaoGao/5690 · this entry7 Aug 2026, 09:33 UTC@isnanapindao/1947 Aug 2026, 10:19 UTC1.0047 minutes
@ChengDuXueYuanBaoGao/5697 · this entry7 Aug 2026, 12:36 UTC@isnanapindao/1957 Aug 2026, 13:08 UTC1.0032 minutes
@ChengDuXueYuanBaoGao/5708 · this entry7 Aug 2026, 16:37 UTC@isnanapindao/1967 Aug 2026, 16:38 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@isnanapindao5 (5/5 hand-verifiable sample passed)1.0032 minutesthis entry (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 43 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @ChengDuXueYuanBaoGao — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

6,8586,9196,888.56 August 2026 — 6,858 subscribers7 August 2026 — 6,879 subscribers10 August 2026 — 6,919 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +61. 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 6,849–6,928 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 09:446,919+40
7 Aug 2026, 17:276,879+21
6 Aug 2026, 20:056,858first reading

Engagement

118 posts held, back to 5 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 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.23%
avg views ÷ 6,919 subscribers
Avg views / post
224
118 posts measured
Reaction rate
0.429%
reactions ÷ views · ER floor
Posts in window
118
of 118 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. It is computed over the 24 of 118 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held118 (5 August 202612 August 2026)
Views total26,391
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:36 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
283
Videos
101
Links
5,140

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
10s
Average length
10s

Measured directly from 1 video 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

23 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 87.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2087.0%
👍313.0%

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 24 of the 118 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 118 most recent posts we hold, published 5 August 2026 to 12 August 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.

Recent posts

12 Aug 2026, 02:21 UTC27 viewsread 12 August 2026

【妹子花名】:#粥粥 【妹子账号】:@zzhouzhou520 【验证留名】:@Y_dian_D有点短 【验证时间】:8.11 【所在位置】:磨子桥 【修车水费】:7 【是否代聊】:代 【身高身材】:163/45 【妹子年龄】:19 【湿度紧度】:适中 【颜值相似】:9分 【凶器罩杯】:B+ 【环境卫生】:干净 【服务内容】:课表上都有 【机车行为】:无 【优点缺点】:优点:颜值不错 【 性 价 比 】:9 体验感受 :9分/ /满分10.0分 【推荐程度】:9分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 当提前一天约了老师时间,下午下班后驱车前往教室,到了后遥控上楼,没有等,进门后发现颜值不错,稍微美颜,挺好看的和照片差不多,没有照片那么白,很满意就交完水费和妹子聊了会天然后共🌧️,脱完发现熊器居然

12 Aug 2026, 01:49 UTC61 viewsread 12 August 2026

【妹子花名】:#妮妮 【妹子账号】:@NiNiAOA 【验证留名】:死肥宅 【验证时间】:8.10 【所在位置】:英伦联邦 【修车水费】:7P 【是否代聊】:本人聊 【身高身材】:160排骨精 【妹子年龄】:24,25 【湿度紧度】:紧湿 【颜值相似】:基本一致 【凶器罩杯】:A 【环境卫生】:整洁干净 【服务内容】:🐍,嫩妹三件套 【机车行为】:无 【优点缺点】:热情话多主动🐍,牙齿不好看 【 性 价 比 】:价格是否符合整体体验感受 8.0分/ /满分10.0分 【推荐程度】:8.0分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:进门一眼就看到穿着白色蕾丝短裙白色小短袜的妮妮老师,身高目测1.6米,排骨精身材,肉眼可见的脆皮,老师很热情在沙发上坐着尬聊了一会,交完水费便和老师去🛀。漱口后到正戏环节,老师

12 Aug 2026, 00:18 UTC120 viewsread 12 August 2026

【妹子花名】:梓桐 【妹子账号】:@zitong_496 【验证留名】:动懂洞f 【验证时间】:8/12 【所在位置】:天府二街 【修车水费】:600p 【是否代聊】:代聊 【身高身材】:164 【妹子年龄】:20 【湿度紧度】:很湿,很紧 【颜值相似】:就是本人照,都没开美颜她 【凶器罩杯】:A+ 【环境卫生】:很干净的复式 【服务内容】:🐍吻,口 ,陪洗,嫩妹三件套 【机车行为】:无 【优点缺点】:长得好看,年轻,皮肤好,三点粉 【 性 价 比 】: 10分 【推荐程度】: 10分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】 好不容易约到梓桐了,进门第一眼感觉来对了,的确如传说中好看和嫩,穿的小裙子,看起来很仙,进门主动问好,笑脸迎接,然后付费共浴,洗的很认真,出来后擦干,就准备和她颠鸾倒凤。先主动蛇吻,然后舔咪咪,接着

12 Aug 2026, 00:18 UTC107 viewsread 12 August 2026

【妹子花名】:时一 【妹子账号】:@shiyibaobei5 【验证留名】:荔枝 【验证时间】:8.11 【所在位置】:武侯区 【修车水费】:12 【是否代聊】:否 【身高身材】:168 【妹子年龄】:25左右吧 【湿度紧度】:紧 【颜值相似】:8分 【凶器罩杯】:A 【环境卫生】:干净卫生 【服务内容】:课表上的 【机车行为】:无 【优点缺点】:身材不错,无🐍 【 性 价 比 】:价格是否符合整体体验感受 8分/ /满分10.0分 【推荐程度】:8分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:时一老师的优点是身材不错,服务态度不错,各种姿势都能满足,口的时候比较深,口无齿感,没有风尘气。皮肤也不错,胸有点小但是胜在是真胸,手感不错。人照个人觉得有一点点区别,但是能看出是本人。教室卫生条件不错。喜欢大长

12 Aug 2026, 00:18 UTC98 viewsread 12 August 2026

【妹子花名】:知画 【妹子账号】:@zhihuabb 【验证留名】:@Cdaolia 【验证时间】:8.11 【所在位置】:高升桥 【修车水费】:6p 【是否代聊】:代 【身高身材】:153 【妹子年龄】:24左右 【湿度紧度】:紧 热 【颜值相似】:8.5分 去掉美颜是本人 【凶器罩杯】:A 【环境卫生】:干净整洁 【服务内容】:吹 蛇 舔 没有水中萧 【机车行为】:做完一直玩手机不讲话了 【优点缺点】:过程中老师耐心是够的 比较会包容人 【 性 价 比 】:喜欢排骨精的很值得一试 【推荐程度】:8分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:老师小小的一只 有初中隔壁女同学那味儿 我这个半胖小子站她旁边有种淡淡的罪恶感...进入时那种从尖端没入根部的紧烫感让我不由得惊叹 差点女上被秒了... https://t

12 Aug 2026, 00:17 UTC93 viewsread 12 August 2026

【妹子花名】:#娜美 【妹子账号】:@Namei125 【验证留名】:匿名 【验证时间】:8月初 【所在位置】:建设路 【修车水费】:7p 【是否代聊】:自聊 【身高身材】:165左右吧 【妹子年龄】:未知 【湿度紧度】:紧湿 【颜值相似】:8.5 【凶器罩杯】:B+ 【环境卫生】:9分 【服务内容】:帮洗,口 【机车行为】:无 【优点缺点】:比较有情绪价值 【 性 价 比 】:8/满分10.0分 【推荐程度】:9分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 颜值很相似,真人整体还不错。头发是御姐大波浪这个真的非常点赞!真是学院夜猫子的福音,12点也是上上第二课了。 躺在床上,她趴在我身上,披肩的大波浪垂在身前,近得能闻到洗发水的味道。口的技术不错,还可以深喉,差点出货…… 赶紧换成女上,妹子体力不是很

12 Aug 2026, 00:17 UTC85 viewsread 12 August 2026

【妹子花名】:时一 【妹子账号】:@shiyibaobei5 【验证留名】:波吉国王 【验证时间】:8.11 【所在位置】:双楠 【修车水费】:700 【是否代聊】:代聊 【身高身材】:168 【妹子年龄】:20+ 【湿度紧度】:可以 【颜值相似】:70% 【凶器罩杯】:a 【环境卫生】:公寓 【服务内容】:无套口 doi 【机车行为】:无 【优点缺点】:态度很好 【 性 价 比 】:中规中矩吧 体验感受 7分/ /满分10.0分 【推荐程度】:7分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 对我而言,cj再多次,都会回时一这里来回锅 开门一句“你来啦”,就像回家一样轻松,简单坐在沙发上寒暄几句,聊聊最近的近况,她说今天开完又要休息一段时间了,你怪会踩点来的,还是自己洗嘛?于是我熟门熟路洗好,床上相

12 Aug 2026, 00:16 UTC96 views1 reactionsread 12 August 2026

【妹子花名】:知画 【妹子账号】:@zhihuabb 【验证留名】:波吉国王 【验证时间】:8.11 【所在位置】:高升桥 【修车水费】:600 【是否代聊】:代聊 【身高身材】:150 【妹子年龄】:20+ 【湿度紧度】:一般吧 【颜值相似】:80% 【凶器罩杯】:小a 【环境卫生】:公寓 【服务内容】:无套口 doi 【机车行为】:无 【优点缺点】:耐心配合/硬件条件小众 【 性 价 比 】:中规中矩吧 体验感受 7分/ /满分10.0分 【推荐程度】:7分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 最近在学院争议比较大的一位老师,赶着出差前,就算已经出击2次了,还是来体验下 代哥指挥上门,本来预期也没太高,见着知画老师坐在沙发上,我快速概览老师硬件条件,一身俏皮妹偏学院范打扮,瘦瘦小小她自己

1

11 Aug 2026, 15:39 UTC213 views1 reactionsread 12 August 2026

【妹子花名】:#jenny 【妹子账号】:@Jenny_9527 【验证留名】:叽歪123 【验证时间】:8.11 【所在位置】:高升桥 【修车水费】:7p 【是否代聊】:否 【身高身材】:160 【妹子年龄】:20↑ 【湿度紧度】:非常紧 【颜值相似】:9 【凶器罩杯】:B 【环境卫生】:干净 【服务内容】:菜单 【机车行为】:无 【优点缺点】:身材好 【 性 价 比 】:价格是否符合整体体验感受 9分/ /满分10.0分 【推荐程度】:9.5分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:Jenny老师可是心尖尖上榜的,超级难约,今天终于约到了,真的很好。老师硬件没啥缺点,小巧玲珑,软件和众多ly的评价一致。找jenny老师全程听指挥,该有的全有,今天碰巧是晚课,老师下面很好看,进入后感觉非常紧,过程

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11 Aug 2026, 15:39 UTC189 views1 reactionsread 12 August 2026

【妹子花名】:#司念 【妹子账号】:@L_Winnie 【验证留名】:pg2 【验证时间】:七月 【所在位置】:三瓦窑 【修车水费】:包时三小时 【是否代聊】:本人 【身高身材】:166左右 【妹子年龄】:22上下 【湿度紧度】:紧且湿 【颜值相似】:人照一致 【凶器罩杯】:b 【环境卫生】:干净又卫生 【服务内容】:菜单上的都有 【机车行为】:无 【优点缺点】:极致的六边形战士 【 性 价 比 】:价格是否符合整体体验感受 9.9分/ /满分10.0分 【推荐程度】:10.0分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】:以前看电影读小说,对魅魔的理解,存在于是淫纹和挑逗。但是司念确实是,你一看到就会觉得很欲,御姐的yu。那种像是一场盛大的舞台剧里面,我作为七个小矮人登场,她不是既定故事里的白雪公主或者

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11 Aug 2026, 15:39 UTC366 viewsread 12 August 2026

【妹子花名】:#jenny 【妹子账号】:@Jenny_9527 【验证留名】:MidLeo 【验证时间】:2026.8.11 【所在位置】:高升桥 【修车水费】:7p 【是否代聊】:自聊 【身高身材】:158 【妹子年龄】:24 【湿度紧度】:又紧,又嫩,夹的你都拔不出来。 【颜值相似】:老师成都本地人,所以照片不是本人,但本人颜值在线五官立体。 【凶器罩杯】:A+ 挺胸,很精致,底子好。 【环境卫生】:公寓酒店,房间很大,不憋屈,老师布置的氛围灯,很用心。唯一缺点,竖着躺床要响。 【服务内容】:约前没看课表,服务时才发现简直体验不过来,各个项目都是顶中顶 夯完了。 【机车行为】:完全没有,体贴细致到我手足无措。 【缺点】:一个小时太短,临别是依依不舍,怪不得很多人要包时。 【 性 价 比 】:10分/ /满分10.0分 【推荐程度】:10分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值

11 Aug 2026, 15:22 UTC335 viewsread 12 August 2026

【妹子花名】:#杨紫 【妹子账号】:@woaipengyou 【验证留名】:三三 【验证时间】:8.11 【所在位置】:交子大道 【修车水费】:15pp 【是否代聊】:自 【身高身材】:160,前凸后翘 【妹子年龄】:28 【湿度紧度】:水多,紧度一般 【颜值相似】:8分 【凶器罩杯】:大E 【环境卫生】:干净卫生 【服务内容】:服务全套都有 【机车行为】:无 【优点缺点】:bbw身材顶级,很会聊天,情绪价值高,老艺术家 【 性 价 比 】:9分 【推荐程度】:pp9分 【个人发挥】: 狼友们的评价都很名副其实,特别是服务态度很好,身材非常顶,过两天再回锅。回锅,就已经是对一个老师最顶级的评价了。唯一的就是有些网友可能觉得开了10p有点软,我觉得如果不差钱的话,那这个没有任何问题。 https://t.me/ChengDuXueYuan

Showing the 12 most recent of 118 posts we hold for @ChengDuXueYuanBaoGao. 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.

Citation-graph rank

Citation-graph rank — 293,645 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“成都学院报告库” (@ChengDuXueYuanBaoGao), 6,919 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ChengDuXueYuanBaoGao.

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.