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Telegram profile photo for 柬埔寨头条事件️🅥

Channel

柬埔寨头条事件️🅥

@HR8877

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

316,848subscribers

+10,216 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1001611935083
TypeChannel
Usernames@HR8877 @tt8888
Description华人头条专注于东南亚最新动态资讯,看尽华人大小事情。 广告&投稿☎️ @t3333 华人交流 @ty888 灰产交流 @jd888 #斯里兰卡 #泰国 #迪拜 #柬埔寨 #头条 #曝光
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 November 2026
Measurements held124
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/HR8877

Topic

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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bg888/1139927 Aug 2026, 15:30 UTC@HR8877/131573 · this entry8 Aug 2026, 15:30 UTC1.0024 hours
@bg888/1140128 Aug 2026, 05:00 UTC@HR8877/131712 · this entry10 Aug 2026, 05:00 UTC1.002 days
@bg888/1163573 Sept 2026, 09:37 UTC@HR8877/133998 · this entry3 Sept 2026, 09:37 UTC1.00under a minute
@HR8877/135251 · this entry16 Sept 2026, 05:00 UTC@bg888/11760417 Sept 2026, 05:00 UTC1.0024 hours
@HR8877/137783 · this entry15 Oct 2026, 16:00 UTC@bg888/11985715 Oct 2026, 16:01 UTC1.00under a minute
@bg888/12076726 Oct 2026, 17:01 UTC@HR8877/138700 · this entry26 Oct 2026, 17:01 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@bg88883 (8/8 hand-verifiable sample passed)0.97under a minute@bg888 (45–38)
@bx669943 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (25–18)
@bg21521 (8/8 hand-verifiable sample passed)1.0056 minutesthis entry (21–0)
@dongnanya10813 (8/8 hand-verifiable sample passed)1.0011 hoursthis entry (13–0)
@rdzx011 (8/8 hand-verifiable sample passed)1.002.1 hoursthis entry (11–0)
@dongnanya_DJ7 (7/7 hand-verifiable sample passed)1.0012 hoursthis entry (7–0)
@tougaoa7 (7/7 hand-verifiable sample passed)0.96under a minute@tougaoa (4–3)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 67 of the 67 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 2,194 comparable posts for this entry, running 8 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

268,948338,893303,920.5316,8488 August 202611 November 2026
124 measurements spanning 95 days, net +10,216. 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 258,456–349,385 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 124
Measured (UTC)SubscribersChange
11 Nov 2026, 11:36316,848-940
10 Nov 2026, 14:47317,788-570
9 Nov 2026, 14:59318,358-590
9 Nov 2026, 02:46318,948-2,941
8 Nov 2026, 08:14321,889-734
7 Nov 2026, 18:48322,623-1,778
7 Nov 2026, 01:07324,401-207
6 Nov 2026, 19:50324,608-1,093
5 Nov 2026, 23:57325,701-578
5 Nov 2026, 16:50326,279-1,785
4 Nov 2026, 21:57328,064-83
4 Nov 2026, 20:06328,147-1,283
4 Nov 2026, 00:46329,430-247
3 Nov 2026, 21:21329,677-632
2 Nov 2026, 23:17330,309-198
2 Nov 2026, 18:05330,507-1,304
2 Nov 2026, 01:31331,811-14
1 Nov 2026, 19:19331,825-956
1 Nov 2026, 01:07332,781-217
31 Oct 2026, 16:29332,998first reading

Engagement

2,636 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 193 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.55%
avg views ÷ 316,848 subscribers
Avg views / post
8,090
686 posts measured
Reaction rate
0.013%
reactions ÷ views · ER floor
Posts in window
780
of 2,636 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 128 of 686 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 11 November 2026
Posts held2,636 (8 August 2026 – 11 November 2026)
Views total5,546,383
Reactions total127
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 14:00 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
≈111,000
Videos
≈18,000
Links
≈16,300

Lifetime counters from Telegram’s own channel header, read 11 November 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
1h 57m
Average length
25s

Measured directly from 281 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

211 reactions across 193 posts, in 18 distinct kinds. The most used accounts for 30.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6430.3%
❤5325.1%
👏209.48%
🔥157.11%
😁146.64%
🎉125.69%
🥰104.74%
🤩73.32%
⚡41.90%
💯31.42%
🤔20.948%
👌10.474%
👎10.474%
💋10.474%
😎10.474%
😱10.474%
🙏10.474%
🤯10.474%

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 206 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 211 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 5 October 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 241 of 780 posts held from the last 30 days (30.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 14:00 UTC1 viewsread 11 November 2026
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11 Nov 2026, 13:36 UTC≈6,140 viewsread 11 November 2026
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11 Nov 2026, 13:01 UTC≈11,500 viewsread 11 November 2026
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11 Nov 2026, 13:00 UTC≈11,200 viewsread 11 November 2026
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11 Nov 2026, 12:56 UTC≈11,500 viewsread 11 November 2026
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11 Nov 2026, 12:42 UTC≈11,700 viewsread 11 November 2026
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11 Nov 2026, 12:33 UTC≈11,500 viewsread 11 November 2026
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11 Nov 2026, 12:31 UTC≈11,500 viewsread 11 November 2026
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11 Nov 2026, 12:00 UTC≈10,500 viewsread 11 November 2026
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11 Nov 2026, 11:00 UTC≈5,690 viewsread 11 November 2026
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11 Nov 2026, 11:00 UTC≈5,680 viewsread 11 November 2026
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Showing the 12 most recent of 2,636 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 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.

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.

头条事件
@toutiaoshijian · 66,698
#1
菲律宾华人事件
@svip40 · 129,751
#2
吃瓜东南亚头条㊖
@CG887 · 95,250
#3
菲龙网新闻中文媒体【官方】
@feilongwang · 68,306
#4
东南亚沸点Time🥇
@vip35r · 23,635
#5
东南亚大事件 @svip
@bx666 · 462,405
#6
菲律宾⚜️大事件
@dashijian01 · 22,266
#7
安危事件
@anwei2 · 32,133
#8
东南亚头条曝光㊖
@bg888 · 310,066
#9
今日头条
@jinritoutiao6 · 11,791
#10
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,379
#11
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,667
#12
东南亚头条吃瓜
@svipzz · 58,665
#13
《今日新闻》
@cctvPH · 130,613
#14
斯里兰卡头条新闻曝光
@baoguangee · 199,126
#15
菲律宾新闻频道
@baoguangqun999 · 67,847
#16
大象曝光|新闻
@dxdb001 · 4,720
#17
中文安危曝光🌸海外华人日记
@tghuarenba · 23,701
#18
柬埔寨西港曝光吃瓜新闻
@kaleminews · 177,158
#19
新华社丨新闻曝光
@iiiik · 33,502
#20
菲律宾华人事件
@feilvbinghuarenriji · 14,475
#21
热点新闻
@redian3 · 61,886
#22
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 231,965
#23
海外头条-海外新闻-cctv
@aza520 · 3,236
#24
【菲律宾新闻】最新爆光
@baoguang211 · 8,202
#25
博度-东南亚曝光新闻
@bodu08 · 55,955
#26
华人大事件-吃瓜新闻
@baoguang821 · 45,718
#27
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 67,906
#28
博度东南亚大事件 @bdtime
@bodutt · 66,197
#29
东南亚曝光网
@baoheitai · 1,106
#30
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,653
#31
跑路人员曝光频道
@TG_368 · 10,591
#32
东南亚大事件/头条事件
@toutiao_4 · 1,076
#33
东南亚新闻|斑马曝光|news
@Banma_xinwen · 84,124
#34
东南亚新闻💎
@vipn8888 · 57,986
#35
新闻早班车🐾
@tg04277 · 55,896
#36
东南亚BC热点新闻
@baoguangqun110 · 68,764
#37
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,323
#38
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,042
#39
菲律宾头条事件
@toutiaoph · 26,492
#40
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 902
#41
最前线大事件曝光
@cctv_dy · 21,774
#42
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 193,543
#43
今日全网曝光频道
@bg855 · 345,093
#44
heicaibaog
@heicaibaog · 10
#45
菲律宾新闻大事件
@flb608 · 68,161
#46
新闻资讯
@BG_BG8 · 32,550
#47
东南亚闯荡记🪐
@ac666 · 319,268
#48
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,245
#49
全网曝光|东南亚日记
@bbb1b · 308,485
#50
迪拜新闻|华人资讯大曝光
@xinwen118 · 123,053
#51
东南亚吃瓜🍉
@dny1577 · 5,024
#52
缅北悬赏通缉令(曝光)
@xinwen811 · 201,758
#53
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 304,981
#54
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 2,899
#55
东南亚曝光/大事件
@dny099 · 199,535
#56
东南亚挨打日记
@pyzcn · 211,778
#57
安危事件
@flbhuarenquan · 75,391
#58
菲律宾大事件灰产新闻/曝光
@tg89aa · 116,061
#59
东南亚🇨🇿今日头条
@huohu158 · 176,294
#60
🇨🇳华人社东南亚大事件
@hrs166 · 37,772
#61
全网曝光
@quanwangbaoguangb · 127,093
#62
吃瓜新闻大曝光
@jiuboo · 13,944
#63
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 203,212
#64
菲律宾头条爆料(Bole新闻)
@phnews · 17,039
#65
柬埔寨西港大事件
@BG423 · 25,553
#66
博彩大事件-曝光
@dsj0161 · 1,980
#67
安危头条/新闻头条
@dnyawtt · 47,602
#68
吃瓜群众🍉
@chigua2022 · 190,073
#69
📣灰产圈新闻快讯
@Huichanquan588 · 435
#70
今日聚焦曝光
@a0159 · 102,646
#71
东南亚热点资讯
@rdzx0 · 87,083
#72
东南亚快讯|海外曝光【9y.com冠名】
@DNYKX · 52,694
#73
全球资讯曝光大事件
@nnccqq · 37,473
#74
今日头条 曝光频道
@jrttbg · 108,008
#75
菲律宾新闻
@flbxinwen01 · 23,191
#76

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.

全网吃瓜
@DBHR8 · 18,490
Telegram ranks this channel #1 of 20 here — alongside 19 others — read 5 October 2026
东南亚头条曝光㊖
@bg888 · 310,066
Telegram ranks this channel #5 of 71 here — alongside 70 others — read 10 August 2026
菲律宾新闻
@flbxinwen01 · 23,191
Telegram ranks this channel #6 of 20 here — alongside 19 others — read 25 September 2026
博彩黑台曝光
@baoguang_bc · 12,119
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 · 8,202
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 · 37,473
Telegram ranks this channel #11 of 23 here — alongside 22 others — read 31 August 2026
新闻哥头条吃瓜每日热点
@yewaiTQ · 24,955
Telegram ranks this channel #12 of 20 here — alongside 19 others — read 23 September 2026
柬埔寨头条 🔰
@tnaot · 21,665
Telegram ranks this channel #12 of 19 here — alongside 18 others — read 21 September 2026
🎖东南亚曝光悬赏通缉🎖【9y.com冠名】
@dny88 · 56,393
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 · 177,158
Telegram ranks this channel #15 of 18 here — alongside 17 others — read 28 August 2026
曝光黑平台&黑佣金
@BG886 · 52,580
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 · 231,965
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 · 115,896
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 · 52,694
Telegram ranks this channel #19 of 67 here — alongside 66 others — read 23 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 88,927
Telegram ranks this channel #20 of 72 here — alongside 71 others — read 21 August 2026
吃瓜新闻大曝光
@jiuboo · 13,944
Telegram ranks this channel #21 of 25 here — alongside 24 others — read 21 September 2026
中文安危曝光🌸海外华人日记
@tghuarenba · 23,701
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 · 73,667
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 · 55,955
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 · 95,650
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 · 54,967
Telegram ranks this channel #26 of 60 here — alongside 59 others — read 13 August 2026
泰国新闻大事件
@th769 · 54,602
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 · 45,718
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 · 51,539
Telegram ranks this channel #30 of 79 here — alongside 78 others — read 24 August 2026

This channel appears in 71 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨头条事件️🅥” (@HR8877), 316,848 subscribers as measured 11 November 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.