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Channel

全球灰产新闻大事件曝光吃瓜

@junzhang02

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

65,093subscribers

+16,870 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-1001946615584
TypeChannel
Username@junzhang02
Description本频道成长4年,在这4年里帮助了很多无家可归的人。曝光了很多黑心园区很多背信弃义的人。本频道一直在用心做事,小编感谢大家一直陪伴,会用心做好每一个新闻事件。 I hope friends all over the world will support 同心出海交流群: @zzz555 同心大事件: @ytai99 投稿商务: @lvzhang999888
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/junzhang02

Topic

Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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.

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 word for word on 1 other registered channel. 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
@ytai99/412087 Aug 2026, 02:18 UTC@junzhang02/31188 · this entry7 Aug 2026, 02:18 UTC1.00under a minute
@ytai99/412117 Aug 2026, 06:44 UTC@junzhang02/31191 · this entry7 Aug 2026, 06:44 UTC1.00under a minute
@ytai99/412127 Aug 2026, 07:00 UTC@junzhang02/31192 · this entry7 Aug 2026, 07:00 UTC1.00under a minute
@ytai99/412147 Aug 2026, 09:00 UTC@junzhang02/31194 · this entry7 Aug 2026, 09:00 UTC1.00under a minute
@ytai99/412207 Aug 2026, 11:00 UTC@junzhang02/31200 · this entry7 Aug 2026, 11:00 UTC1.00under a minute
@ytai99/412227 Aug 2026, 11:55 UTC@junzhang02/31202 · this entry7 Aug 2026, 11:55 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ytai9916 (8/8 hand-verifiable sample passed)1.00under a minute@ytai99 (97)

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. 9 of the 9 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 21 comparable posts for this entry, running 6 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @junzhang02 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

44,40771,46557,9367 August 2026 — 48,223 subscribers8 August 2026 — 48,053 subscribers9 August 2026 — 47,889 subscribers10 August 2026 — 47,609 subscribers11 August 2026 — 47,409 subscribers12 August 2026 — 47,027 subscribers13 August 2026 — 45,274 subscribers14 August 2026 — 45,204 subscribers16 August 2026 — 44,722 subscribers17 August 2026 — 44,407 subscribers18 August 2026 — 69,216 subscribers19 August 2026 — 71,465 subscribers20 August 2026 — 71,388 subscribers22 August 2026 — 71,014 subscribers23 August 2026 — 70,879 subscribers24 August 2026 — 70,579 subscribers25 August 2026 — 70,534 subscribers27 August 2026 — 67,091 subscribers28 August 2026 — 66,398 subscribers29 August 2026 — 65,975 subscribers30 August 2026 — 65,820 subscribers30 August 2026 — 65,745 subscribers31 August 2026 — 65,674 subscribers1 September 2026 — 65,488 subscribers3 September 2026 — 65,157 subscribers5 September 2026 — 65,093 subscribers65,0937 August 20265 September 2026
26 measurements spanning 29 days, net +16,870. 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 40,348–75,524 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
5 Sept 2026, 02:3665,093-64
3 Sept 2026, 08:1865,157-331
1 Sept 2026, 22:5665,488-186
31 Aug 2026, 19:4865,674-71
30 Aug 2026, 21:4465,745-75
30 Aug 2026, 00:0865,820-155
29 Aug 2026, 03:2865,975-423
28 Aug 2026, 01:3366,398-693
27 Aug 2026, 02:0267,091-3,443
25 Aug 2026, 23:0470,534-45
24 Aug 2026, 21:3570,579-300
23 Aug 2026, 10:1270,879-135
22 Aug 2026, 00:5871,014-374
20 Aug 2026, 15:3771,388-77
19 Aug 2026, 13:4271,465+2,249
18 Aug 2026, 16:0369,216+24,809
17 Aug 2026, 12:2744,407-315
16 Aug 2026, 05:5744,722-482
14 Aug 2026, 14:5545,204-70
13 Aug 2026, 07:5645,274first reading

Engagement

878 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.17%
avg views ÷ 65,093 subscribers
Avg views / post
763
550 posts measured
Reaction rate
0.098%
reactions ÷ views · ER floor
Posts in window
847
of 878 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 36 of 550 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 6 September 2026
Posts held878 (6 August 20266 September 2026)
Views total419,454
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 07:13 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

Photos
20,700
Videos
4,450
Links
13,500

Lifetime counters from Telegram’s own channel header, read 6 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
59m 57s
Average length
16s

Measured directly from 229 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

36 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2055.6%
👍1336.1%
🥰25.56%
🔥12.78%

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 36 of the 878 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 878 most recent posts we hold, published 6 August 2026 to 6 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

6 Sept 2026, 07:07 UTC112 viewsread 6 September 2026
Video

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6 Sept 2026, 07:00 UTC528 viewsread 6 September 2026
Video

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6 Sept 2026, 05:05 UTC522 viewsread 6 September 2026
Photo

#群友爆料:一个资金盘, 项目:瀚诺,资方:熊总(以前在苗瓦迪KK的盘总),技术方:以前在缅北孟能叫大飞,现在叫罗马。场地:八号公馆三期N105办公室。操盘手:高兴。主管:超超。代理线:教练、老狼、林萧、大米。 这个办公室可以堪称柬埔寨最黑的办公室。每天晚上十一点半准时开始体罚,每天上班的人员都是绷着神经,什么电棍都是小儿科。 尤其是里面的林萧,林萧是里面最大的代理线,办公室大部分的业绩都是出自于他的代理线。他下面有号称“四大金刚”(阿志、大鹏、阿超、大林)。 曾经在办公室有PC管把人打了168棍,把人直接打得半死不活。办公室有家里人外婆死了,也不放人。 现在这个盘已经盖了。当时八号扫荡撤离的时候,被宪兵拦了下来几百号人,说的好好的,都是一定能保。结果一批人全部被送到了贵州,现在这些人都被遵义市公安局关着。 林萧、老狼,这二个狗东西,你放心,你们的信息我都有。你等着,我已经向有关部门提交了你们的资料。 你们当时把我

6 Sept 2026, 03:03 UTC539 viewsread 6 September 2026
Photo

#网友投稿:巴基斯坦伊斯兰堡F10本地黑帮内讧,枪战,中国人不要前往 马上等会警察查的会更凶会借机敲诈,没事呆在原地到天亮,外卖不要送了。慕斯塔法塔附近,这里住的中国人关闭房门。 ———————— 辉煌娱乐 🟢 8.cc平台 🟢 开元集团 PG集团 🟢 N9国际 🟢 铂莱娱乐 金贝娱乐 🟢 TG娱乐 🟢 新全讯网 ———————— 📱 出海交流群: @zzz555 ✈️ 投稿爆料: @ytai66

6 Sept 2026, 02:18 UTC520 viewsread 6 September 2026
Photo

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6 Sept 2026, 00:33 UTC498 viewsread 6 September 2026
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5 Sept 2026, 18:00 UTC548 viewsread 6 September 2026
Video

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5 Sept 2026, 17:58 UTC542 viewsread 6 September 2026
Photo

柬埔寨“清零”行动:数说电诈园区的覆灭 2025年至2026年,柬埔寨以“清零”为目标,向盘踞境内的电诈园区全面宣战。随着大型园区被逐一拔除,一组惊人的数据浮出水面。 雷霆数据:近3万人被拘留,超2万中国人被遣返 这场大规模清剿中,柬埔寨执法部门共检查793个涉案地点,实际清剿624处电诈窝点,拘留近3万名来自39个国家的外籍人员。在遣返方面,柬埔寨累计救助并遣返58,266名外国公民,其中中国籍人员超过2万人,是被遣返人数最多的群体。 从批次来看,2025年全年柬方遣返中国籍电诈嫌疑人2700余人;2026年力度持续加大,仅1月至3月即逮捕中国公民3438人,4至5月集中遣返两千余人,其中5月中旬8天内就遣返1794人。 重大案件头目相继落网。2026年1月,跨境赌诈集团头目陈志在金边被捕并押解回国;同年6月,其核心骨干刘忍也被从金边遣返回国,面临刑事追诉。 司法追责:从无期徒刑到有期徒刑 遣返并非终点,司法审判

Showing the 12 most recent of 878 posts we hold for @junzhang02. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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.

东南亚大事件-聚焦时事 @TX100
@tx100 · 164,207
#1
东南亚大事件
@bx666 · 474,232
#2
金边华人|柬埔寨大事件|东南亚大事件
@jinbianyy · 28,090
#3
新闻资讯
@BG_BG8 · 24,103
#4
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 3,441
#5
东南亚新闻头条曝光🅥
@dny718 · 13,807
#6
柬埔寨大事件|曝光|新闻|西港|金边|吃瓜
@v3903 · 31,445
#7
刁哈哈的碎碎念
@jsanj · 1,102
#8
东南亚大事件/曝光@dj17
@dj17baoguang · 7,655
#9
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 79,751
#10
东南亚事件(骗子曝光)
@dongnanyabaoguang1314 · 1,131
#11
全网曝光|东南亚日记
@bbb1b · 356,022
#12
海外大事件(猎奇-吃瓜)
@aa144 · 35,274
#13
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 45,360
#14
世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 441,635
#15
火箭ws云控🚀官方
@huojianyunkong5 · 322
#16

Read from Telegram’s recommendation API, most recently 20 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.

东南亚大事件-聚焦时事 @TX100
@tx100 · 164,207
Telegram ranks this channel #7 of 50 here — alongside 49 others — read 12 August 2026
东南亚吧 东南亚大事件
@DNYba · 97,403
Telegram ranks this channel #9 of 55 here — alongside 54 others — read 18 August 2026
迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 113,595
Telegram ranks this channel #9 of 50 here — alongside 49 others — read 15 August 2026
东南亚大新闻
@HYY3333 · 134,687
Telegram ranks this channel #25 of 41 here — alongside 40 others — read 16 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 57,638
Telegram ranks this channel #26 of 72 here — alongside 71 others — read 21 August 2026
全网曝光|东南亚大事件
@dnysj · 201,297
Telegram ranks this channel #38 of 59 here — alongside 58 others — read 13 August 2026
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 107,801
Telegram ranks this channel #41 of 49 here — alongside 48 others — read 14 August 2026
世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 441,635
Telegram ranks this channel #51 of 68 here — alongside 67 others — read 10 August 2026
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 114,915
Telegram ranks this channel #54 of 73 here — alongside 72 others — read 14 August 2026
泰国新闻大事件
@th769 · 52,403
Telegram ranks this channel #60 of 67 here — alongside 66 others — read 23 August 2026
越南新闻大事件
@VN704 · 61,753
Telegram ranks this channel #64 of 65 here — alongside 64 others — read 27 August 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. 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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“全球灰产新闻大事件曝光吃瓜” (@junzhang02), 65,093 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/junzhang02.

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.