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Channel

成都坏学院-90分钟不限次

@cdhuaixueyuan

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

28,313subscribers

+2,331 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002043172813
TypeChannel
Username@cdhuaixueyuan
Description①加入坏学院交流群: @huaixueyuan888 ②约课请发消息: @huaixueyuan 约课时间早上8点-晚上10点
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/cdhuaixueyuan

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 90% 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

25,98228,31327,147.57 August 2026 — 25,982 subscribers8 August 2026 — 25,999 subscribers9 August 2026 — 25,986 subscribers10 August 2026 — 26,025 subscribers11 August 2026 — 26,041 subscribers12 August 2026 — 26,076 subscribers14 August 2026 — 26,172 subscribers15 August 2026 — 26,258 subscribers16 August 2026 — 26,374 subscribers17 August 2026 — 26,877 subscribers18 August 2026 — 27,009 subscribers19 August 2026 — 27,115 subscribers20 August 2026 — 27,157 subscribers22 August 2026 — 27,190 subscribers23 August 2026 — 27,304 subscribers25 August 2026 — 27,343 subscribers26 August 2026 — 27,347 subscribers27 August 2026 — 27,417 subscribers28 August 2026 — 27,478 subscribers29 August 2026 — 27,542 subscribers30 August 2026 — 27,554 subscribers31 August 2026 — 27,616 subscribers1 September 2026 — 27,661 subscribers2 September 2026 — 27,668 subscribers3 September 2026 — 27,729 subscribers5 September 2026 — 27,817 subscribers9 September 2026 — 27,930 subscribers11 September 2026 — 28,014 subscribers13 September 2026 — 28,058 subscribers15 September 2026 — 28,091 subscribers16 September 2026 — 28,202 subscribers19 September 2026 — 28,313 subscribers7 August 202619 September 2026
32 measurements spanning 42 days, net +2,331. 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 25,632–28,663 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 03:1528,313+111
16 Sept 2026, 21:0028,202+111
15 Sept 2026, 00:0028,091+33
13 Sept 2026, 10:3728,058+44
11 Sept 2026, 17:3928,014+84
9 Sept 2026, 03:4127,930+113
5 Sept 2026, 20:5627,817+88
3 Sept 2026, 17:2127,729+61
2 Sept 2026, 10:1227,668+7
1 Sept 2026, 08:1827,661+45
31 Aug 2026, 05:4227,616+62
30 Aug 2026, 03:2727,554+12
29 Aug 2026, 06:2927,542+64
28 Aug 2026, 05:5527,478+61
27 Aug 2026, 06:0527,417+70
26 Aug 2026, 05:1427,347+4
25 Aug 2026, 03:1427,343+39
23 Aug 2026, 16:1827,304+114
22 Aug 2026, 02:2527,190+33
20 Aug 2026, 20:4627,157first reading

Engagement

48 posts held, back to 18 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 28,313 subscribers
Avg views / post
3,850
23 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
23
of 48 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 22 of 23 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 20 September 2026
Posts held48 (18 March 202620 September 2026)
Views total88,486
Reactions total1,328
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 08:05 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
86
Videos
4
Links
2

Lifetime counters from Telegram’s own channel header, read 20 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
19s
Average length
10s

Measured directly from 2 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

2,277 reactions across 42 posts, in 5 distinct kinds. The most used accounts for 52.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,19352.4%
👍1,06246.6%
😍80.351%
💋70.307%
💯70.307%

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 45 of the 48 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 2,277 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 18 March 2026 to 20 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.

Recent posts

20 Sept 2026, 00:13 UTC720 views7 reactionsread 20 September 2026
Photo

9月20日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 佳佳 笑笑 大G 南门: 雪儿 西门: 啾啾 辣椒 桐桐 丫丫 双流: 珠儿 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

👍43

Signed 成都~坏学院 (无限火力)

19 Sept 2026, 01:13 UTC≈1,360 views4 reactionsread 19 September 2026
Photo

9月19日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 佳佳 笑笑 南门: 雪儿 西门: 啾啾 辣椒 桐桐 丫丫 双流: 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

3👍1

Signed 成都~坏学院 (无限火力)

18 Sept 2026, 01:10 UTC≈2,240 views9 reactionsread 19 September 2026
Photo

9月18日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 佳佳 笑笑 南门: 雪儿 西门: 啾啾 辣椒 桐桐 丫丫 双流: 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

👍54

Signed 成都~坏学院 (无限火力)

18 Sept 2026, 01:10 UTC≈2,380 views6 reactionsread 20 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6390039633

👍42

Signed 极搜🔍资源搜索@JISOU

17 Sept 2026, 01:05 UTC≈2,920 views81 reactionsread 19 September 2026
Photo

9月17日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 佳佳 笑笑 南门: 雪儿 芸儿 六月 西门: 啾啾 辣椒 桐桐 丫丫 双流: 珠儿 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

43👍38

Signed 成都~坏学院 (无限火力)

16 Sept 2026, 01:10 UTC≈3,570 views123 reactionsread 19 September 2026
Photo

9月16日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 南门: 雪儿 芸儿 六月 西门: 啾啾 辣椒 桐桐 丫丫 双流: 珠儿 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

77👍46

Signed 成都~坏学院 (无限火力)

15 Sept 2026, 01:22 UTC≈4,240 views136 reactionsread 19 September 2026
Photo

9月15日开课老师: 早9点可以预约,老师10点上班,9点下班。 东门: 南门: 雪儿 芸儿 六月 西门: 啾啾 辣椒 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

👍7561

Signed 成都~坏学院 (无限火力)

7 Sept 2026, 01:03 UTC≈8,920 views15 reactionsread 19 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6390039633

8👍7

Signed 极搜🔍资源搜索@JISOU

4 Sept 2026, 01:08 UTC947 views7 reactionsread 4 September 2026
Photo

9月4日开课老师: 早8点可以预约,老师10点上班,9点下班。 东门: 佳佳 奶茶 妮子 大G 南门: 六月 西门: 桐桐 丫丫 雅雅 辣椒 啾啾 双流: 珠儿 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

👍43

Signed 成都~坏学院 (无限火力)

3 Sept 2026, 15:06 UTC≈11,000 views187 reactionsread 20 September 2026
Photo

老师:#雅雅~西门浣花里地铁站 课费:600(90分钟不限次) 约课: @huaixueyuan #成都楼凤 #成都修车 #成都无限火力 #少妇

👍9190💋2💯2😍2

Signed 成都~坏学院 (无限火力)

3 Sept 2026, 00:20 UTC929 views0 reactionsread 3 September 2026
Photo

9月3日开课老师: 早8点可以预约,老师10点上班,9点下班。 东门: 佳佳 奶茶 妮子 大G 南门: 六月 西门: 桐桐 丫丫 雅雅 辣椒 啾啾 双流: 珠儿 查看老师好评: @hxyhaoping 上课联系电报: @huaixueyuan 双向机器人: @hxy1818_bot 第一次约课要收定金100,可抵课费。 #成都楼凤 #成都修车 #成都无限火力 #成都扫街

Signed 成都~坏学院 (无限火力)

2 Sept 2026, 16:08 UTC≈11,300 views182 reactionsread 20 September 2026
Photo

老师:#妮子~理工地铁站 课费:700(90分钟不限次) 约课: @huaixueyuan 年龄:26,高158,重:47kg,🐻:B #成都楼凤 #成都修车 #成都无限火力

👍9785

Signed 成都~坏学院 (无限火力)

Showing the 12 most recent of 48 posts we hold for @cdhuaixueyuan. 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.

Posts edited after publishing

@cdhuaixueyuan 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
29 August 2026
Most recent edit
29 August 2026

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“成都坏学院-90分钟不限次” (@cdhuaixueyuan), 28,313 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/cdhuaixueyuan.

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.