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Channel

雌堕大学

@SlutUniversity

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

13,780subscribers

+200 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-1003386301211
TypeChannel
Username@SlutUniversity
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/SlutUniversity

Growth

13,58013,78013,6807 August 2026 — 13,580 subscribers8 August 2026 — 13,585 subscribers9 August 2026 — 13,590 subscribers9 August 2026 — 13,601 subscribers11 August 2026 — 13,602 subscribers11 August 2026 — 13,604 subscribers12 August 2026 — 13,606 subscribers14 August 2026 — 13,618 subscribers15 August 2026 — 13,696 subscribers17 August 2026 — 13,780 subscribers7 August 202617 August 2026
10 measurements spanning 10 days, net +200. 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 13,550–13,810 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:3313,780+84
15 Aug 2026, 16:4713,696+78
14 Aug 2026, 01:1513,618+12
12 Aug 2026, 21:5313,606+2
11 Aug 2026, 22:5213,604+2
11 Aug 2026, 00:2113,602+1
9 Aug 2026, 23:3413,601+11
9 Aug 2026, 01:2113,590+5
8 Aug 2026, 03:5813,585+5
7 Aug 2026, 18:4513,580first reading

Engagement

26 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
51.4%
avg views ÷ 13,780 subscribers
Avg views / post
7,080
26 posts measured
Reaction rate
0.062%
reactions ÷ views · ER floor
Posts in window
26
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. It is computed over the 23 of 26 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 15 August 2026
Posts held26 (25 July 202615 August 2026)
Views total184,180
Reactions total106
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 07:15 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
96
Videos
1,080
Links
1,050

Lifetime counters from Telegram’s own channel header, read 18 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
1h 27m
Average length
3m 30s

Measured directly from 25 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

106 reactions across 21 posts, in 8 distinct kinds. The most used accounts for 79.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8479.2%
🍓76.60%
😁43.77%
🥰43.77%
👍32.83%
👎21.89%
👏10.943%
💯10.943%

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 23 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 106reactions 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 25 July 2026 to 15 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

15 Aug 2026, 15:25 UTC≈3,690 views6 reactionsread 18 August 2026
Video

酥若也是拍小剧情了, 完整内容顺着水印找哦 https://t.co/bqAcYFS96Z ——————————————————

6

15 Aug 2026, 13:55 UTC≈3,820 views7 reactionsread 18 August 2026
Video

我去洗浴了🥴 ——————————————————

7

15 Aug 2026, 13:54 UTC≈3,780 views5 reactionsread 18 August 2026
Video

我爸问我在成都上学都学会了什么 #成都 #男大学生 #爱学习爱生活 #爆改 ——————————————————

5

15 Aug 2026, 10:07 UTC≈20,400 views5 reactionsread 18 August 2026
Video

这样的舍友你打几分 #宿舍日常 #剧情 #随拍 【羚猫野的作品】 ——————————————————

4💯1

13 Aug 2026, 14:13 UTC≈4,950 views5 reactionsread 18 August 2026
Video

武汉斗鱼嘉年华的花絮vlog #狐狸崽崽带你逛漫展 #斗鱼嘉年华 #三角洲行动 #三角洲cos武汉集结 #三角洲武汉不服洲 ——————————————————

👍2👎21

11 Aug 2026, 12:22 UTC≈6,640 views4 reactionsread 18 August 2026
Video

人善变人妻 #水仙 #爆改反差 #剧情 #日常分享 到底是塞哪的 #纯粹的猛男 ——————————————————

3👍1

7 Aug 2026, 14:37 UTC≈9,660 views6 reactionsread 18 August 2026
Video

舍友无家可回了怎么办 #男生宿舍 #男大学生 #舍友 #日常 ——————————————————

6

30 Jul 2026, 10:04 UTC≈12,100 views20 reactionsread 18 August 2026
Photo

——————————————————

16🥰4

29 Jul 2026, 15:28 UTC≈11,000 views13 reactionsread 18 August 2026
Video

路上偶遇主播可以抱抱吗 #涵妹 #萌系 #可爱 #第五人格 #今天第五人格了吗 #涵妹尊嘟可爱🍓的作品 ——————————————————

🍓75👏1

27 Jul 2026, 12:32 UTC≈10,400 views3 reactionsread 18 August 2026
Video

男娘和雌堕分别是什么意思呢? #二次元 #科普一下 #小众偏好 #男生必看 ——————————————————

3

25 Jul 2026, 08:32 UTC≈9,900 views5 reactionsread 18 August 2026
Video

扣1主播立马更纯享版插唧唧视频😋 #千九小姐 (@@thNineSS)

😁41

25 Jul 2026, 08:32 UTC≈7,260 views3 reactionsread 18 August 2026
Video

逛商场的时候老公一直要我把短丝袜脱下来给他闻,太烦人了,干脆直接去男厕所给他打飞机,把他欲望卸掉就可以安心逛街了🤭最后给他射鞋里,然后踩着他的子孙去吃饭 #绿帽 #夫妻 #淫妻 #NTR #足交 #鞋交 #175小夫妻👩‍❤️‍💋‍👨 (@@175_YQ) ——————————————————

3

Showing the 12 most recent of 26 posts we hold for @SlutUniversity. 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.

Mentions

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

“雌堕大学” (@SlutUniversity), 13,780 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/SlutUniversity.

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.