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Channel

匿名树洞佛山

@shudongfoshan2

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,565subscribers

+114 since we began measuring on 27 August 2026

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

Register entry

Telegram ID-1003886180869
TypeChannel
Username@shudongfoshan2
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 August 2026
Last confirmed live17 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/shudongfoshan2

Topic

Other / unclassifiable — 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 17 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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

1,4511,5651,50827 August 2026 — 1,451 subscribers28 August 2026 — 1,467 subscribers31 August 2026 — 1,465 subscribers3 September 2026 — 1,479 subscribers9 September 2026 — 1,524 subscribers13 September 2026 — 1,540 subscribers17 September 2026 — 1,565 subscribers27 August 202617 September 2026
7 measurements spanning 20 days, net +114. 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 1,434–1,582 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 05:181,565+25
13 Sept 2026, 10:221,540+16
9 Sept 2026, 10:211,524+45
3 Sept 2026, 20:161,479+14
31 Aug 2026, 10:481,465-2
28 Aug 2026, 15:471,467+16
27 Aug 2026, 18:451,451first 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
7.41%
avg views ÷ 1,565 subscribers
Avg views / post
116
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 August 2026
Posts held20 (15 August 202627 August 2026)
Views total116
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 18:45 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.

Reaction mix

2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
150.0%
👍150.0%

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 2 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 2 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 27 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

27 Aug 2026, 10:43 UTC116 viewsread 27 August 2026

搞不懂送礼物或者给🐔卖乖的人咋想的,夸张的还能说自己是小狗的。已经见到不止一个师兄这样了

24 Aug 2026, 00:39 UTC268 viewsread 27 August 2026

确实,无套弯吊哥比联邦狗庄 菜澜、瘾蛇 这些伪君子好多了。 这几只狗,开各种小号白嫖,强占群友抽奖资源,出击威胁老师白嫖加菜!各种偷拍🤬 还要收大家的钱,应该按传播淫秽抓进去坐牢!

24 Aug 2026, 00:39 UTC267 viewsread 27 August 2026

现在联邦影相收费了,狗庄、蔡澜、瘾蛇等人都是在传播污秽,可以点了,被拍的老师也有福了,你们将成为“女主角”流传到你们亲友圈里😆👍

23 Aug 2026, 07:58 UTC291 viewsread 27 August 2026

所以现在去见崎鸣是有梅毒风险吗? 我还约了课有点慌喔 #佛山 #修车 #秘密

16 Aug 2026, 12:09 UTC454 viewsread 27 August 2026

现在都是人照不符合的老鸡,真的劣币驱逐良币了

16 Aug 2026, 08:14 UTC449 views1 reactionsread 27 August 2026

https://t.me/shudongfoshan2/350 不止是联邦,其他群也没有一个正常的,一个比一个傻逼,有明显就是骗子的,也给上榜,真他妈坑人。

1

16 Aug 2026, 07:18 UTC431 viewsread 27 August 2026

讨厌小庄 https://t.me/shudongguangzhou/83118 支持小庄 https://t.me/shudongguangzhou/83125 大家愉快参与🔥🔥

Showing the 12 most recent of 20 posts we hold for @shudongfoshan2. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“匿名树洞佛山” (@shudongfoshan2), 1,565 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/shudongfoshan2.

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.