Telegram RegisterThe public register of Telegram

Channel

小狐狸展览视

@tushuguan87

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

1,812subscribers

-12 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003436898114
TypeChannel
Username@tushuguan87
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tushuguan87

Growth

1,8121,8251,818.56 August 2026 — 1,824 subscribers6 August 2026 — 1,824 subscribers7 August 2026 — 1,825 subscribers10 August 2026 — 1,821 subscribers13 August 2026 — 1,812 subscribers6 August 202613 August 2026
5 measurements spanning 6 days, net -12. 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 1,810–1,827 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:541,812-9
10 Aug 2026, 02:111,821-4
7 Aug 2026, 01:431,825+1
6 Aug 2026, 20:451,824no change
6 Aug 2026, 20:341,824first reading

Engagement

21 posts held, back to 12 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
44.3%
avg views ÷ 1,812 subscribers
Avg views / post
803
14 posts measured
Reaction rate
0.401%
reactions ÷ views · ER floor
Posts in window
20
of 21 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 13 of 14 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 7 August 2026
Posts held21 (12 May 20267 August 2026)
Views total11,243
Reactions total43
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:27 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
1m 00s
Average length
10s

Measured directly from 6 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

43 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 76.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3376.7%
👍818.6%
🥰24.65%

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 13 of the 21 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 43reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 12 May 2026 to 7 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

7 Aug 2026, 05:06 UTC149 views3 reactionsread 7 August 2026

@zxcvbnm8918 五一的时候约过,那时候就体验挺好的,本来就想着二刷,还遇上妹子主动降价,那就没有什么好说的了,果断前去支持一把,这次的gzs比上次的更好,安静,交通便利,进门还是那个邻家妹妹,不过这次染了个黄毛,更加多了分异域风情,流程还是一样的,贴心的服务,SW管饱,口的认真,于是也不多说啥了,直接进行深入交流环节,还是一样的dio感,反馈真实,娇喘连连,让人不断深入的进行活塞运动,最后交代完也是成就感满满~期待妹子下次再来~~ 标签: @zxcvbnm8918 #小狐狸 1000p #闵行 点击跳转原始报告【需先加群】 反馈狼友: 傀叶加濑 时间:2026-08-07 11:18:07 报告ID:16616 当前进度:1/7

3

5 Aug 2026, 07:06 UTC570 views8 reactionsread 7 August 2026
Photo

各位哥哥由于最近生意不理想且学费压力较大 考虑降价 🫑P➖200 后1000p🍔 🫑Pp➖400后2000pp🍔 降价不会影响服务质量且 会提供更优质的服务 🧡🧡🧡🧡🧡🧡🧡🧡🧡 截止本月15日后离开上海回归学校🥓

👍8

4 Aug 2026, 04:46 UTC508 viewsread 7 August 2026
Video

新验证视频 下午还有空位 闵行吴中路附近 约课: @zxcvbnm8918 双向: @xiaohuolijiqirenbot

1 Aug 2026, 13:58 UTC965 views3 reactionsread 7 August 2026

匿名报告 @zxcvbnm8918 非常满意的一次cj 本人一直非常吃广东妹妹的长相 见到ls本人后觉得比视频还漂亮 开始前ls会主动陪浴 正面背面都会帮忙洗 洗完之后ls会问有没有服装要求 我选了一套视频里的粉色套装 非常可爱 开始正事 ls主动跨倒身上 完完全全的大蟒蛇 直接让我兴奋起来 这时候手往ls下面一摸 已经水汪汪了 蟒蛇吃饱之后老师也很主动地开始口 口技了得 忽浅忽深 完全没有齿感 感觉时机差不多了 直接戴t开干 从cjs开始 ls下面包裹感很强 又是一边大蟒蛇一边打桩 伴随着ls的骚话 越来越兴奋 接着换女上 看着那一对刚刚好的胸器和ls一起摇晃 巴不得把整个都吞住 ls问要不要从后面 我点头示意后从后方进入 虽然ls身材偏瘦 但是屁股上的肉刚刚好 撞击的反馈很不错 ls主动踏腰 感觉能把整根二弟吞进去 最后由于本人这两天出差身体确实比较累 大战二十分钟后选择了👋出 ls也非常配合的让我

3

Showing the 12 most recent of 21 posts we hold for @tushuguan87. 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 — 426,500 of 1,478,351entries 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.

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

“小狐狸展览视” (@tushuguan87), 1,812 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tushuguan87.

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.