Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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
62 measurements spanning 41 days, net +14,300. 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 260,231–335,781 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
17 Sept 2026, 21:39
320,932
-273
16 Sept 2026, 12:15
321,205
-147
15 Sept 2026, 20:02
321,352
+6,745
14 Sept 2026, 18:18
314,607
-33
14 Sept 2026, 02:57
314,640
-313
13 Sept 2026, 05:20
314,953
-303
12 Sept 2026, 09:59
315,256
-619
11 Sept 2026, 04:38
315,875
-356
10 Sept 2026, 09:20
316,231
-661
8 Sept 2026, 09:38
316,892
-665
7 Sept 2026, 03:00
317,557
-1,016
5 Sept 2026, 07:19
318,573
-537
4 Sept 2026, 11:38
319,110
-310
3 Sept 2026, 09:37
319,420
-70
3 Sept 2026, 00:14
319,490
-190
2 Sept 2026, 03:54
319,680
-48
2 Sept 2026, 00:34
319,728
-780
1 Sept 2026, 06:08
320,508
-44
1 Sept 2026, 03:17
320,552
-1,163
31 Aug 2026, 09:14
321,715
first reading
Engagement
1,124 posts held, back to 8 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 85 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.10%
avg views ÷ 320,932 subscribers
Avg views / post
3,540
662 posts measured
Reaction rate
0.087%
reactions ÷ views · ER floor
Posts in window
825
of 1,124 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 178 of 662 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 18 September 2026
Posts held
1,124 (8 August 2026 – 18 September 2026)
Views total
2,343,508
Reactions total
502
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Sept 2026, 05:49 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
Photos
≈108,000
Videos
≈17,000
Links
≈14,000
Lifetime counters from Telegram’s own channel header, read 18 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2h 11m
Average length
23s
Measured directly from 347 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
509 reactions across 173 posts, in 12 distinct kinds. The most used accounts for 15.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤩
78
15.3%
🥰
62
12.2%
👍
58
11.4%
🔥
58
11.4%
😁
55
10.8%
⚡
54
10.6%
🎉
49
9.63%
👏
44
8.64%
❤
41
8.06%
😭
6
1.18%
😢
3
0.589%
💯
1
0.196%
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 185 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 509 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 12 August 2026 to 18 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.
#网友爆料: #亚美尼亚 埃里温,H9club 会所。
《确诊艾滋病》,老板不言不语,昧着良心赚钱。这名女孩是我朋友,得了病要回国,老板扣押其工资3000U,不给。限给你一天时间处理此事,如不处理,带警察去你店里;警察不管,去大使馆举报。说到做到。
你听好,我不想搞你,我只是想搞死你。
上面是亚美尼亚埃里温 Astghik Medical Center 医院开具的艾滋病证明。半个多月了,到现在不给结工资,扣押得了艾滋病的女孩继续上班,良心何在?
奉劝各位不要去他家会所,都是不要拿命去耍。得了病不说,要是赶上我们这边行动不愉快,再经关警察去,附带给你们也抓了,得不偿失。
我告诉你,如果不解决,就开始搞你。这个老板机器狂妄,还找了一众傻逼群演在群里帮他洗脱艾滋病的事实。
此事件曝光。匡扶正义,惩恶扬善。
——《柬埔寨头条广告赞助》——
😈👿👹👺🤡💩🌊6G.com 实力保障 大额秒提👩❤️👨👩❤️👩💑👨❤️👨👩…
🤩1
Showing the 12 most recent of 1,124 posts we hold for @HR8877. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@HR8877 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@xa666 named in 1 post, 31 August 2026 – 31 August 2026 · confirmed gone 24 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
东南亚头条曝光㊖ @bg888 · 348,676 Telegram ranks this channel #5 of 71 here — alongside 70 others — read 10 August 2026
博彩黑台曝光 @baoguang_bc · 39,478 Telegram ranks this channel #7 of 22 here — alongside 21 others — read 29 August 2026
【菲律宾新闻】最新爆光 @baoguang211 · 24,074 Telegram ranks this channel #9 of 24 here — alongside 23 others — read 17 September 2026
全球资讯曝光大事件 @nnccqq · 38,702 Telegram ranks this channel #11 of 23 here — alongside 22 others — read 31 August 2026
🎖东南亚曝光悬赏通缉🎖【9y.com冠名】 @dny88 · 65,507 Telegram ranks this channel #13 of 73 here — alongside 72 others — read 21 August 2026
柬埔寨西港曝光吃瓜新闻 @kaleminews · 135,207 Telegram ranks this channel #15 of 18 here — alongside 17 others — read 28 August 2026
曝光黑平台&黑佣金 @BG886 · 54,939 Telegram ranks this channel #16 of 60 here — alongside 59 others — read 23 August 2026
东南亚曝光吧⚠️吃瓜爆料 @baoguangba088 · 240,574 Telegram ranks this channel #16 of 68 here — alongside 67 others — read 11 August 2026
东南亚曝光大事件新闻头条 exposure @AoneExp · 122,517 Telegram ranks this channel #18 of 74 here — alongside 73 others — read 14 August 2026
东南亚快讯|海外曝光【9y.com冠名】 @DNYKX · 60,054 Telegram ranks this channel #19 of 67 here — alongside 66 others — read 23 August 2026
🍉吃瓜中心&搞笑日常 @cggx33 · 51,859 Telegram ranks this channel #20 of 72 here — alongside 71 others — read 21 August 2026
中文安危曝光🌸海外华人日记 @tghuarenba · 45,040 Telegram ranks this channel #21 of 56 here — alongside 55 others — read 26 August 2026
东南亚 曝光 悬赏 新闻 @DNYXW008 · 88,070 Telegram ranks this channel #21 of 65 here — alongside 64 others — read 13 August 2026
博度-东南亚曝光新闻 @bodu08 · 58,568 Telegram ranks this channel #25 of 73 here — alongside 72 others — read 22 August 2026
卡斯兰卡大事件/马来西亚新闻 @YTT783 · 80,982 Telegram ranks this channel #26 of 76 here — alongside 75 others — read 18 August 2026
东南亚缅甸妙瓦底新闻|大事件|曝光|吃瓜|悬赏令 @qq2023bg · 64,006 Telegram ranks this channel #26 of 60 here — alongside 59 others — read 13 August 2026
泰国新闻大事件 @th769 · 51,238 Telegram ranks this channel #27 of 67 here — alongside 66 others — read 23 August 2026
华人大事件-吃瓜新闻 @baoguang821 · 55,643 Telegram ranks this channel #28 of 71 here — alongside 70 others — read 22 August 2026
东南亚新闻头条(曝光) @dnyxwtt · 51,587 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 24 August 2026
东南亚曝光揭秘社 @JYGJBG · 51,797 Telegram ranks this channel #30 of 53 here — alongside 52 others — read 23 August 2026
全网曝光|东南亚日记 @bbb1b · 348,524 Telegram ranks this channel #30 of 63 here — alongside 62 others — read 10 August 2026
迪拜新闻🇦🇪 @dubaixinwen2 · 219,777 Telegram ranks this channel #32 of 69 here — alongside 68 others — read 11 August 2026
菲龙网新闻中文媒体【官方】 @feilongwang · 95,262 Telegram ranks this channel #33 of 48 here — alongside 47 others — read 18 August 2026
东南亚曝光台☎️ @DNYBG234 · 93,361 Telegram ranks this channel #35 of 77 here — alongside 76 others — read 16 August 2026
This channel appears in 66 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“柬埔寨头条事件️🅥” (@HR8877), 320,932 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/HR8877.
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.