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Channel

【性爱学】性爱知识研究所-PUA指南技巧

@xingaixue

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

3,430subscribers

+184 since we began measuring on 20 August 2026

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

Register entry

Telegram ID-1002514633784
TypeChannel
Username@xingaixue
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live10 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/xingaixue

Growth

3,2463,4303,33820 August 2026 — 3,246 subscribers20 August 2026 — 3,257 subscribers24 August 2026 — 3,281 subscribers27 August 2026 — 3,297 subscribers30 August 2026 — 3,325 subscribers2 September 2026 — 3,354 subscribers6 September 2026 — 3,390 subscribers10 September 2026 — 3,430 subscribers20 August 202610 September 2026
8 measurements spanning 22 days, net +184. 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 3,218–3,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 22:413,430+40
6 Sept 2026, 02:193,390+36
2 Sept 2026, 07:443,354+29
30 Aug 2026, 14:033,325+28
27 Aug 2026, 20:593,297+16
24 Aug 2026, 20:363,281+24
20 Aug 2026, 19:243,257+11
20 Aug 2026, 08:313,246first reading

Engagement

20 posts held, back to 15 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.5%
avg views ÷ 3,430 subscribers
Avg views / post
705
15 posts measured
Reaction rate
0.056%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 6 of 15 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 August 2026
Posts held20 (15 August 202620 August 2026)
Views total10,571
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 08:31 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

Video runtime
1s
Average length
1s

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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 6 of the 20 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 15 August 2026 to 20 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

20 Aug 2026, 03:06 UTC212 viewsread 20 August 2026
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乔老师肛交教学:肛门情趣怎么玩?教你肛交玩法的详细步骤 #两性知识 #性爱教学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😁😁😁😁😁😁😁 新用户首周100%包赢 老台子🏆放心赢 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

19 Aug 2026, 15:16 UTC405 viewsread 20 August 2026
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肛交什么姿势更爽更容易高潮? #两性知识 #性爱教学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😁😁😁😁😁😁😁 新用户首周100%包赢 老台子🏆放心赢 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

19 Aug 2026, 10:34 UTC305 viewsread 20 August 2026
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19 Aug 2026, 10:34 UTC370 views0 reactionsread 20 August 2026
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字母圈科普BDSM 字母圈硬核SP教学 #SP #打屁屁 #性爱学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😘 Y3国际皇冠体育直营 【索莱尔视讯专线】 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

19 Aug 2026, 06:26 UTC488 viewsread 20 August 2026
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字母圈鞭打羞羞部位教学人妻学姐小教室 #SP #性爱学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😘 Y3国际皇冠体育直营 【索莱尔视讯专线】 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

18 Aug 2026, 14:02 UTC718 viewsread 20 August 2026
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SM字母圈调教技巧 羞辱调教的详细技巧 调教基础教程 新手入门必看 #脏话调教 #性爱学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😘 Y3国际皇冠体育直营 【索莱尔视讯专线】 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

18 Aug 2026, 07:33 UTC649 viewsread 20 August 2026
Video

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18 Aug 2026, 07:25 UTC714 viewsread 20 August 2026
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聊聊性与爱中的辱骂、羞辱、疼痛和服从,受虐为什么如此吸引人 #两性知识 #性爱教学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😁😁😁😁😁😁😁 新用户首周100%包赢 老台子🏆放心赢 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

17 Aug 2026, 15:01 UTC907 views1 reactionsread 20 August 2026
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脏话教学:如何在床上讲脏话把她骂到很湿,很想要 #两性知识 #性爱教学 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😁😁😁😁😁😁😁 新用户首周100%包赢 老台子🏆放心赢 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

1

17 Aug 2026, 10:28 UTC910 viewsread 20 August 2026
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那些关于“G点高潮”的疑难杂症 #G点 #G点高潮 #两性知识 #性爱教学 #G点高潮 #付费广告 😁DJ阿U • 东南亚嗨房音乐频道💀 🌟🌟🌟🌟🌟 大额无忧来6U.com!人气推荐! 😁😁😁😁😁😁😁 新用户首周100%包赢 老台子🏆放心赢 更多内容请关注 #性爱学 @xingaixue 完整内容点击评论区观看⬇️⬇️⬇️

Showing the 12 most recent of 20 posts we hold for @xingaixue. 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

Named by 1 registered channel — 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.

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

“【性爱学】性爱知识研究所-PUA指南技巧” (@xingaixue), 3,430 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/xingaixue.

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.