你们这群傻逼,天天119,199,又不敢真的干什么,不就给人免费做广告吗?

Channel
匿名树洞北京
@shudongbeijing
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
31,247subscribers
+289 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 | -1002589909906 |
|---|---|
| Type | Channel |
| Usernames | @shudongbeijing @shudongbj |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/shudongbeijing |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 17:57 | 31,247 | -39 |
| 5 Sept 2026, 08:57 | 31,286 | -51 |
| 4 Sept 2026, 16:21 | 31,337 | +151 |
| 3 Sept 2026, 15:01 | 31,186 | +153 |
| 3 Sept 2026, 00:08 | 31,033 | -24 |
| 2 Sept 2026, 06:55 | 31,057 | -10 |
| 1 Sept 2026, 21:54 | 31,067 | -45 |
| 1 Sept 2026, 08:08 | 31,112 | +33 |
| 31 Aug 2026, 18:57 | 31,079 | -26 |
| 31 Aug 2026, 06:55 | 31,105 | -12 |
| 30 Aug 2026, 21:44 | 31,117 | +165 |
| 30 Aug 2026, 07:29 | 30,952 | -61 |
| 29 Aug 2026, 18:44 | 31,013 | +87 |
| 29 Aug 2026, 08:58 | 30,926 | +13 |
| 28 Aug 2026, 21:34 | 30,913 | -18 |
| 28 Aug 2026, 12:17 | 30,931 | -138 |
| 28 Aug 2026, 00:58 | 31,069 | -19 |
| 27 Aug 2026, 15:35 | 31,088 | -191 |
| 26 Aug 2026, 22:32 | 31,279 | no change |
| 26 Aug 2026, 17:55 | 31,279 | first reading |
Engagement
1,144 posts held, back to 7 August 2026 — the 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
- 0.506%
- avg views ÷ 31,247 subscribers
- Avg views / post
- 158
- 1,054 posts measured
- Reaction rate
- 0.909%
- reactions ÷ views · ER floor
- Posts in window
- 1,054
- of 1,144 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 55 of 1,054 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 1,144 (7 August 2026 – 7 September 2026) |
| Views total | 166,729 |
| Reactions total | 91 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 13:32 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 04s
- Average length
- 8s
Measured directly from 8 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
89 reactions across 38 posts, in 12 distinct kinds. The most used accounts for 34.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 31 | 34.8% | |
| ❤ | 17 | 19.1% | |
| 🔥 | 12 | 13.5% | |
| 🤣 | 8 | 8.99% | |
| 💩 | 6 | 6.74% | |
| 😁 | 4 | 4.49% | |
| 👎 | 3 | 3.37% | |
| 🤡 | 3 | 3.37% | |
| 👏 | 2 | 2.25% | |
| 😨 | 1 | 1.12% | |
| 🙏 | 1 | 1.12% | |
| 🥰 | 1 | 1.12% |
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 53 of the 1,000 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 89 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 7 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
119已经回老家避风头了 弄了个姐妹在她现在的房间里接客 看会不会被人点 对她姐妹真好啊
被你们说我高低去看看
天天119,119到底是谁号发我去看看
你们这帮loser 越说 119 119 生意越好。 大傻逼只会在那里骂人
https://t.me/shudongbeijing/172526 好利来的比较好看。
119 是把你家全杀了吗?天天搁那喊?你要真看不惯,就别躲树洞,你现身轰她啊
正常的北京人不会去舔社区里生鲜超市的的服务员吧?119 连这种服务员都比不上。这都有人去舔,119 这群里的人不知下贱成啥样了。
过俩天会不会有🐺y 出击 119然后恶意拔套中出,这么做🐢🐢会不会痛哭流涕呢?
人家有舔狗基本盘 25岁说不定还要涨价呢
119 颜值,学历,身材都没有,25 岁就只能开 400 了
@ytlzly 点草猪头119,长得像坨屎,还要开14,怎么不去吃屎啊,食屎呀你
Showing the 12 most recent of 1,144 posts we hold for @shudongbeijing. 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.
Names
Channels on the register whose handles appear in this channel's posts.
@sdindex · 10,90220 posts树洞图片区
@shudongphoto · 9,14915 posts树洞百科Wiki
@shudongbaike4 · 2,4449 posts树洞雷报北京
@shudongleibao_bj · 2,1029 posts树洞雷报广州
@shudongleibao_gz · 2,2469 posts树洞雷报杭州
@shudongleibao_hz · 1,6189 posts树洞雷报上海
@shudongleibao_sh · 1,8509 posts树洞雷报深圳
@shudongleibao_sz · 2,0019 posts树洞情报站
@shudongqingbao2 · 1,3699 posts树洞【实时】修车地图
@shudongmap · 4,4948 posts天津意大利风情街🅢
@anyang2025 · 74,1771 post局内人·北京群聊吃瓜
@bj_group_daily · 481 post北京女姬队
@huytj66 · 24,9611 post匿名树洞深圳
@shudongsz · 14,5301 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@shudongbeijing named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 5 posts, 16 August 2026 – 2 September 2026
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“匿名树洞北京” (@shudongbeijing), 31,247 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/shudongbeijing.
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.