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Channel
内涵段子|吃瓜爆料
@NHDZCGBL
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
34,554subscribers
-8,440 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001963484181 |
|---|---|
| Type | Channel |
| Usernames | @nhdz688 @NHDZCGBL |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/NHDZCGBL |
Topic
Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 11:56 | 34,554 | -287 |
| 16 Sept 2026, 03:19 | 34,841 | -603 |
| 14 Sept 2026, 08:40 | 35,444 | +35,443 |
| 13 Sept 2026, 15:39 | 1 | -36,200 |
| 12 Sept 2026, 18:39 | 36,201 | -249 |
| 11 Sept 2026, 22:17 | 36,450 | -179 |
| 10 Sept 2026, 18:15 | 36,629 | -129 |
| 9 Sept 2026, 14:17 | 36,758 | -183 |
| 7 Sept 2026, 13:40 | 36,941 | -211 |
| 6 Sept 2026, 02:59 | 37,152 | -170 |
| 4 Sept 2026, 17:01 | 37,322 | -3 |
| 3 Sept 2026, 23:59 | 37,325 | -95 |
| 2 Sept 2026, 23:25 | 37,420 | -21 |
| 2 Sept 2026, 14:46 | 37,441 | -246 |
| 1 Sept 2026, 20:46 | 37,687 | -57 |
| 1 Sept 2026, 11:56 | 37,744 | -239 |
| 31 Aug 2026, 17:19 | 37,983 | -106 |
| 31 Aug 2026, 11:13 | 38,089 | -108 |
| 30 Aug 2026, 17:27 | 38,197 | -128 |
| 30 Aug 2026, 09:55 | 38,325 | first reading |
Engagement
1,067 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.059%
- avg views ÷ 34,554 subscribers
- Avg views / post
- 20.5
- 425 posts measured
- Reaction rate
- 6.74%
- reactions ÷ views · ER floor
- Posts in window
- 427
- of 1,067 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 113 of 425 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 1,067 (7 August 2026 – 10 September 2026) |
| Views total | 8,711 |
| Reactions total | 140 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 14:13 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
- 5h 21m
- Average length
- 37s
Measured directly from 515 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
305 reactions across 252 posts, in 4 distinct kinds. The most used accounts for 75.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 229 | 75.1% | |
| 😍 | 65 | 21.3% | |
| ❤ | 10 | 3.28% | |
| 🤣 | 1 | 0.328% |
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 254 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 305 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 8 August 2026 to 10 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
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操作不当,必死无疑 #监控 #工作 #事故
卧槽哈哈哈哈 #公共场所 #屌 #搞笑
这户型采光可以! #美女 #擦边球
视频里一男子疑似“装逼”过头,直接跟特警干起来?!现场一片混乱,路人四散,男子被多名特警按在地上控制,场面相当激烈! “装逼大发了,特警也敢打?”网友直呼:胆子真肥啊!😱 是酒后闹事?还是有啥隐情?目前细节还在发酵中… #街头 #特警 #虎逼 #傻逼 #冲突
真牛逼啊哥们,脚尖都垫起来了,是方便起飞吗?😂😂😂 #路人 #公共场所 #打飞机 #变态
山东青岛捷瑞东方财税的白嫖小仙女又火了,买的东西退款了,但是东西不退给骑手,还要动手打人。这样的白嫖怪公司还要吗?记得上一个白嫖小仙女直接把公司干没了! #山东 #小仙女 #白嫖 #外卖 #青岛 #捷瑞东方财税 #曝光
据报道,这段视频拍摄于费兹阿巴德,奥卡拉地区。 一个残忍的父亲正在对自己的女儿施以极其野蛮和危及生命的暴力,甚至可能导致女孩死亡。此外,这个人还试图对他的妻子实施致命袭击。 #家暴 #极端
挺有职业道德的 还怕骑手送餐超时 #外卖员 #骑手 #外卖 #站街 #胡同 #站街女
Showing the 12 most recent of 1,067 posts we hold for @NHDZCGBL. 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.
@TWGJ888 · 28,23271 posts亚洲国际娱乐官方频道
@YZGJ9 · 24,76646 posts环海娱乐频道@blyl
@blyl · 92841 posts金乐娱乐|环海直营@JLYL
@jinle · 6,26341 posts🔥双狮国际娱乐🔥
@jszylc · 14,01741 posts🔥東莱娱乐城🔥电子•捕鱼•视讯•棋牌•彩票•体育
@DLYL33333 · 8,34435 posts🔥F8国际娱乐🔥视讯.电子.捕鱼.棋牌.
@f8gjyl · 26,63534 postsSOSO搜搜
@sooo · 541,11510 postsSOSO搜搜
@sosoo · 452,0605 postsSOSO搜搜
@souso · 576,8833 postsSOSO搜搜🔞
@SosoCnBot · 212,7442 posts吃瓜新闻 搞笑视频 内涵段子 吃瓜群众
@cocog888 · 29,7231 postSOSO搜搜
@sososo · 573,4771 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“内涵段子|吃瓜爆料” (@NHDZCGBL), 34,554 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NHDZCGBL.
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.