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Telegram profile photo for 华人大事件|头条|爆料

Channel

华人大事件|头条|爆料

@bl513

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

117,891subscribers

-40,612 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002146907748
TypeChannel
Usernames@bl335 @bl513
Description专注海外华人一手资讯,华人求助,聚焦柬东南亚各类新闻,专为海外华人推送一手资讯,足不出户,看尽东南亚大小事。频道只负责投稿发布信息,无辨别真假能力。如有不实信息请联系管理员。恶意投稿者,后果自负。 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~避免我们的评论区火药味变得更重。本频道鼓励尊重友好的交流方 能量兑换机器人: @xnbnlsz_bot 投稿 爆料 商务合作: @lantian316 #全球新闻 #曝光 #吃瓜 #东南亚 #柬埔寨 #菲律宾 #迪拜 #特区 #曝料 #缅甸
CreatedBetween 1 March 2024 and 31 July 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held124
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/bl513

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 56% 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 3 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
@blj11/1750113 Oct 2026, 14:10 UTC@bl513/52558 · this entry13 Oct 2026, 15:20 UTC1.0070 minutes
@blj11/1767915 Oct 2026, 12:33 UTC@bl513/52631 · this entry15 Oct 2026, 13:10 UTC1.0038 minutes
@blj11/1799819 Oct 2026, 13:50 UTC@bl513/52769 · this entry19 Oct 2026, 14:40 UTC1.0050 minutes
@blj11/1836323 Oct 2026, 14:11 UTC@bl513/52933 · this entry23 Oct 2026, 14:45 UTC1.0035 minutes
@blj11/1909030 Oct 2026, 14:35 UTC@bl513/53253 · this entry30 Oct 2026, 14:42 UTC1.007 minutes
@blj11/1909430 Oct 2026, 15:11 UTC@bl513/53261 · this entry30 Oct 2026, 16:10 UTC1.0060 minutes
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
@blj118 (8/8 hand-verifiable sample passed)1.0027 minutes@blj11 (8–0)
@xg_cdj5 (5/5 hand-verifiable sample passed)1.001.7 hoursthis entry (3–2)
@DNYFLBDSJ5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)

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. 12 of the 12 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 1,958 comparable posts for this entry, running 7 August 2026 to 10 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_copy · clone_mutual, 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

79,037158,503118,770117,8917 August 202610 November 2026
124 measurements spanning 95 days, net -40,612. 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 67,117–170,423 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 124
Measured (UTC)SubscribersChange
10 Nov 2026, 20:50117,891-606
10 Nov 2026, 13:51118,497+2,750
9 Nov 2026, 09:17115,747+2,829
9 Nov 2026, 00:35112,918+3,686
8 Nov 2026, 03:17109,232-681
7 Nov 2026, 17:14109,913-2,164
6 Nov 2026, 21:39112,077-442
6 Nov 2026, 16:28112,519-1,893
6 Nov 2026, 00:07114,412-171
5 Nov 2026, 17:57114,583-141
5 Nov 2026, 01:59114,724no change
4 Nov 2026, 16:37114,724-18
3 Nov 2026, 23:16114,742-12
3 Nov 2026, 15:21114,754+5
2 Nov 2026, 20:47114,749no change
2 Nov 2026, 18:29114,749-54
1 Nov 2026, 22:15114,803no change
1 Nov 2026, 21:06114,803-774
1 Nov 2026, 00:00115,577no change
31 Oct 2026, 19:28115,577first reading

Engagement

2,028 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.29%
avg views ÷ 117,891 subscribers
Avg views / post
2,690
528 posts measured
Reaction rate
0.066%
reactions ÷ views · ER floor
Posts in window
531
of 2,028 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 96 of 528 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 held2,028 (7 August 2026 – 11 November 2026)
Views total1,422,629
Reactions total121
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:38 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
≈36,400
Videos
≈6,470
Links
≈20,500

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 37m
Average length
29s

Measured directly from 204 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

159 reactions across 110 posts, in 10 distinct kinds. The most used accounts for 17.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2717.0%
⚡2213.8%
🥰1911.9%
🤩1811.3%
👍1610.1%
🎉138.18%
👏138.18%
😁138.18%
🔥95.66%
🕊95.66%

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 118 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 159 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 22 September 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: 2 of 531 posts held from the last 30 days (0.377%) 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, 04:03 UTC≈2,300 viewsread 11 November 2026
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11 Nov 2026, 01:55 UTC≈3,390 viewsread 11 November 2026
Photo

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10 Nov 2026, 16:46 UTC53 views1 reactionsread 11 November 2026
Video

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10 Nov 2026, 16:11 UTC52 viewsread 11 November 2026
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10 Nov 2026, 15:59 UTC≈3,280 viewsread 11 November 2026
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10 Nov 2026, 15:21 UTC≈3,600 viewsread 11 November 2026
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10 Nov 2026, 15:19 UTC≈3,230 viewsread 11 November 2026
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10 Nov 2026, 14:41 UTC≈3,520 viewsread 11 November 2026
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10 Nov 2026, 14:36 UTC≈2,980 viewsread 11 November 2026
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10 Nov 2026, 13:41 UTC≈3,650 viewsread 11 November 2026
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柬埔寨西港部分大型建筑停工、拆除,昔日繁华景象逐渐褪去。 近日,西哈努克城部分大型建筑已停止施工,部分建筑陆续被拆除。至于这些建筑后续将如何规划、是否会有新的项目进驻,目前尚不清楚。 曾经热闹的西港,如今不少区域显得格外冷清,大型建筑施工相继停摆,城市也逐渐恢复了往日难得的寂静。据悉,照片拍摄于西哈努克城 Chhneo Cheu Teal 路段。 西港的变化,或许只有亲眼见证过这里曾经繁华的人,才能真正感受到。 ✅点击订阅👇 ✅华人大事件频道👇 https://t.me/+Vbrvu3ELCudiMTJl ✅澄清/爆料: @lantian316 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😈👿👹👺🤡💩🌊6G.com 送36U 返水1.3起🔡 🦬🐃🐂🐄🫏🐎🐖🐏🐑 彩票 6G.com ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️😃爆分不停 · 大奖来袭|PG电子火力全开|点击注册 …

10 Nov 2026, 13:31 UTC≈3,020 viewsread 11 November 2026
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🫤😐🫥😶🤥🫠🤫🫡🫢 😑 N9 国际认证 | 信誉平台 支持5倍验资 【验资:@N9KF】 担保域名:N9.TOP 点击查看 ⚡️⚡️⚡️⚡️ 💝 新会员好礼 注册就送28.8U 新人首存/二存/三存最高赠送8️⃣8️⃣8️⃣8️⃣U 💝 老会员好礼 电子狂欢每日存款赠送10% 充值笔笔送3%无上限 夜间充值最高可优惠8888U ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 香港六合彩 4️⃣8️⃣.8️⃣ 倍 加拿大28全网返水最高 ⚡️注册网址:N9.PRO 😇🧐🧐😗🧐😙😄 ⚡️ 官方客服: @N9KF ⚡️ 官方飞投: @N9N9 ⚡️ 彩票客服: @N9CP ⚡️ 彩票飞投: @N9N9N9 ⚡️ 福利频道: @N9pd888 ⚡️ 注册网址: N9.COM【USDT】 ⚡️ 注册网址: N9.C…

10 Nov 2026, 12:59 UTC≈3,000 viewsread 11 November 2026
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泰国男子偷39件女性内衣被捕 泰国春武里府一名33岁摩托车修理店老板因偷窃女性内衣被警方逮捕,缴获内衣39件。失主将监控录像发布上网后锁定嫌犯。警方到店抓捕时,该男子试图藏匿赃物未果。 他供称长期失眠,看到女性内衣便产生玩弄欲望,夜间把玩后才入睡。尿检还显示其可能吸DU。警方已以偷窃和吸毒两项罪名立案处理。 PS:哪位群友?🤣 ✅点击订阅👇 ✅华人大事件频道👇 https://t.me/+Vbrvu3ELCudiMTJl ✅澄清/爆料: @lantian316 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😈👿👹👺🤡💩🌊6G.com 送36U 返水1.3起🔡 🦬🐃🐂🐄🫏🐎🐖🐏🐑 彩票 6G.com ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️😃爆分不停 · 大奖来袭|PG电子火力全开|点击注册 · 即刻开玩 😑🫤😐🫥😶🤥🫠🤫🫡🫢⚡️ 人民币注册 ⚡️ USDT注册😑彩票注册 注

Showing the 12 most recent of 2,028 posts we hold for @bl513. 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.

Posts edited after publishing

@bl513 edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
14 August 2026
Most recent edit
5 November 2026

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“华人大事件|头条|爆料” (@bl513), 117,891 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/bl513.

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.