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Channel

跑路人员曝光频道

@TG_368

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

10,591subscribers

-18,825 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001844151376
TypeChannel
Username@TG_368
Description要点资讯,安危事件,曝光爆料,社会热点推送。 跑路人员信息曝光 曝光删帖发布: @TGH_361 华人社区: @TG_3623 专注于:ins,fb,推特,公众号,竞价速推类,指定国家城市人群关键词投放 #出渗透一手 shell seo国内流量池 https://nexus777.vip/ ✍🏻关键词搜索: #网红查黑问题 #+名字 #曝光 #悬赏 #骗子 #名字 商务合作: @TGH_361 ⚠️ 本频道只有一个,其他都是模仿⚠️谨防上当受骗
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/TG_368

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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
@baoguangqun999/1020757 Aug 2026, 15:44 UTC@TG_368/56126 · this entry7 Aug 2026, 17:01 UTC1.0077 minutes
@baoguangqun999/1021918 Aug 2026, 15:26 UTC@TG_368/56262 · this entry9 Aug 2026, 15:35 UTC1.0024 hours
@baoguangqun999/10235410 Aug 2026, 09:16 UTC@TG_368/56298 · this entry10 Aug 2026, 10:06 UTC1.0050 minutes
@baoguangqun999/10275213 Aug 2026, 16:16 UTC@TG_368/56715 · this entry13 Aug 2026, 17:40 UTC1.0085 minutes
@baoguangqun999/10302916 Aug 2026, 14:09 UTC@TG_368/56783 · this entry17 Aug 2026, 04:58 UTC1.0015 hours
@baoguangqun999/10437031 Aug 2026, 15:31 UTC@TG_368/56828 · this entry31 Aug 2026, 15:38 UTC1.007 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
@baoguangqun99914 (7/8 hand-verifiable sample passed)1.006.6 hours@baoguangqun999 (14–0)
@riben0017 (5/7 hand-verifiable sample passed)1.003.3 hours@riben001 (7–0)
@HKDSJ06 (5/6 hand-verifiable sample passed)1.004.3 hours@HKDSJ0 (6–0)
@jrttbg6 (5/6 hand-verifiable sample passed)1.0011 hoursthis entry (4–2)
@quanqiubaoliao6 (6/6 hand-verifiable sample passed)1.0086 minutes@quanqiubaoliao (5–1)
@dongnanya1085 (5/5 hand-verifiable sample passed)1.0011 hoursthis entry (4–1)
@rdzx05 (5/5 hand-verifiable sample passed)1.003.8 hoursthis entry (4–1)

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. 36 of the 36 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 106 comparable posts for this entry, running 6 August 2026 to 30 October 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_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

10,59129,41620,003.57 August 202610 November 2026
63 measurements spanning 94 days, net -18,825. 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 7,767–32,240 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 00:0710,591-7
8 Nov 2026, 17:3510,598-2
7 Nov 2026, 11:2610,600-6
6 Nov 2026, 12:3910,606-4
5 Nov 2026, 11:4010,610-7
4 Nov 2026, 09:5010,617+1
3 Nov 2026, 08:1110,616-4
2 Nov 2026, 10:4610,620-3,963
1 Nov 2026, 10:5614,583-780
31 Oct 2026, 13:4715,363-7
30 Oct 2026, 14:4615,370-34
29 Oct 2026, 16:5615,404-11
28 Oct 2026, 17:4815,415-21
27 Oct 2026, 15:0615,436-22
26 Oct 2026, 14:0415,458-49
25 Oct 2026, 11:4415,507-16
24 Oct 2026, 11:3915,523-25
23 Oct 2026, 12:5615,548-6
22 Oct 2026, 14:5615,554-11
21 Oct 2026, 11:1815,565first reading

Engagement

145 posts held, back to 6 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 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.92%
avg views ÷ 10,591 subscribers
Avg views / post
627
5 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
5
of 145 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 2 of 5 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 9 November 2026
Posts held145 (6 August 2026 – 9 November 2026)
Views total3,133
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 10:17 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
≈49,000
Videos
≈6,360
Links
≈4,000

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
18m 42s
Average length
40s

Measured directly from 28 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

17 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 29.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤529.4%
👍317.6%
🔥211.8%
🤩211.8%
🥰211.8%
⚡15.88%
👏15.88%
😁15.88%

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 19 of the 145 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 145 most recent posts we hold, published 6 August 2026 to 9 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: 3 of 5 posts held from the last 30 days (60.0%) 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).

9 Nov 2026, 15:41 UTC237 views1 reactionsread 11 November 2026
Photo

曝光 一个抖音主播给博彩引流的,就是这个骗子,拿钱不办事,让开直播不开,找各种理由拒绝,然后还不退款,请广大网友点点举报,给他转点黑钱让他封号,多给他抖音点点举报,大家小心这个骗子,同行们一定小心,抖音号71775754800

👍1

30 Oct 2026, 07:23 UTC629 viewsread 11 November 2026
Photo

#网友曝光 #马来西亚 #黑公司 这是马来西亚一家打野公司的地址,里面发生的真实情况,真的让人看了气愤! 这是一栋四周封闭、几乎没有窗户的民房,大门经常用铁链锁着,把员工当猪仔对待,里面有两个闽南籍部长,其中一个瘦不拉几的天天在里面吹吹嘘自己多厉害威胁员工,动不动就拿话恐吓人,没业绩就要求员工加班到凌晨2、3点,完全不把员工当人看。员工辛辛苦苦做出来的业绩提成,几个月了却一直拖着不发。更过分的是,员工想要离职,还拿护照和底薪进行威胁,让员工想走都不敢走。 不要把员工的忍耐当成理所当然,也不要以为没人敢把这些事情曝光,现在打野大环境,不信可以赌一赌

29 Oct 2026, 15:45 UTC535 viewsread 11 November 2026
Photo

說這人跟公司哭窮,預支薪資3000多人民幣然後跑了,請仲介留意😂畢竟他仲介現在要幫他賠滿慘的😂

13 Oct 2026, 04:12 UTC976 views1 reactionsread 11 November 2026
Photo

#骗子 #李易昆 #马尼拉风 (李易昆、贵州人) 给你一次一次机会,你不珍惜,你休怪我无情, 你骗了多少的钱,你不联系我,你等着被上门。你那么多债主,看看有多少证据链。送到你市里公安局 证据链很足,还有你实名支付宝。 我就看看你全家好不好过。 周佳佳 522501198006110029 你妈电话: 18685306088 悬赏5万u, 有此人线索带照片来联系群主 不要以为你在泰国曼谷躲的住。 你的资料已经全部丢好公安局了,你等着回去蹲大牢把,享受完美人生 #付费悬赏

❤1

13 Oct 2026, 04:11 UTC756 viewsread 11 November 2026
Photo

此人黄仲贵是一名诈骗犯股转项目背后金主,长期待在菲律宾 柬埔寨 泰国 马来西亚 越南等不同国家,最擅长约会睡别人老婆,把别人老婆约到别的国家睡,平时喜欢开豪车装逼,身边有各行各业的诈骗合作伙伴,希望你们此贼划清界限,免得国内警察取证时期拍到,得到最新情报最近去水沟谷投资了,兄弟你护照已更新,你不处理问题我会一直不定时曝光,我的老婆不能让你白睡,不是威胁你,你不处理一定让你名扬四海。你知道我想什么 要处理联系我!@UU8399

23 Sept 2026, 04:37 UTC≈1,190 views1 reactionsread 11 November 2026
Photo

柬埔寨 10 天驱逐近 700 外国人 9 月 10 日至 20 日期间,柬埔寨移民总局将 681 名外籍人员驱逐出境。 据悉,被驱逐人员涉及全球 31 个国家和地区,其中以中国籍为主。警方指出,上述人员分别涉嫌参与网络诈骗、非法居留以及绑架勒索等违法犯罪活动。

👏1

23 Sept 2026, 04:36 UTC≈1,070 views1 reactionsread 11 November 2026
Photo

#网友爆料 大家注意索莱尔卖房了的,这个人总是去收房间,然后让你改时间,说有人要住,因为他知道索莱尔的房间只能改一次不能改时间,就必须卖他,总要说转 Gcash 不给现金,现金那么难吗?拖来拖去,说自己被索莱尔拉黑了,没有点毛病,怎么会被拉黑,我怀疑他就是买房间绑架的,他妈的,想想就是后怕

🥰1

19 Sept 2026, 11:14 UTC≈1,070 views1 reactionsread 9 November 2026
Photo

#开云 #斯里兰卡 #亚博 #网友投稿 曝光开云 9 台招商 pgone(此人以前的名字,现在什么工名不知道,但是在那工作的都知道是谁)斯里兰卡那栋大楼,29 楼,9 号办公室,此人穷凶极恶,满嘴谎言,家里没父母,自拍就是全家福,业绩全靠刷,刷就算了,还不给钱,此人之前做招商因为搞虚假业绩被公司处理一次,不知道怎么卖的屁眼,给转岗到人事,硬混个把月之后世界杯期间又转回招商,不知收敛,变本加厉,依旧弄虚作假刷业绩,刷就刷吧,这个行业的潜规则大家都懂的,还不给刷刷结账,真的搞笑,本来定好的 15 号结账,推到明天,明天推后天,后天推大后天,大后天结一点,真是满嘴谎言,真不知道他的同事如何和他相处的,在下也只能佩服。此人深爱赌博,有钱就赌,没钱就借,借到到借无可借,就开始怕骗。本人深受其害,在此宣告老子钱不要了,也要曝光你。此次曝光就是给大家看清这个人,切勿与其深交,切勿与其有任何金钱往来,否则勿谓言之不预也。

🔥1

16 Sept 2026, 14:23 UTC978 viewsread 9 November 2026
Video

#越南 #胡志明3区 #Sherwood #Suites公寓楼 #一小姐姐坠楼,当场去世,工作人员抬走了。

12 Sept 2026, 15:30 UTC≈1,130 views1 reactionsread 9 November 2026
Video

中国男子被骗进菲律宾诈骗园区 至少被转卖6次最高卖到210万比索 9月12日,美联社发布对菲律宾诈骗产业和临时拘留设施的调查。 “宝富”园区与菲律宾前班班市长郭华萍案件有关。2025年11月20日,菲律宾法院裁定郭华萍等8人严重人口贩运罪成立,判处终身监禁,并各罚款200万比索。

👍1

11 Sept 2026, 21:33 UTC≈1,050 views0 reactionsread 9 November 2026
Photo

#网友投稿 隔空喊话我的“ #新币老板 ”CEO——超哥

2 Sept 2026, 09:19 UTC143 views1 reactionsread 3 September 2026
Photo

❗️❗️❗️❗️ #天富娱乐 #诈骗盘 #杀猪盘 在他们频道抢了2u红包,结果电子报了70多。 下分人找不到了。客服财务一个消息也不回。 纯纯的诈骗,千万不要被他们高额的充值赠送给吸引了。 #天富娱乐 开不起就不要开。77送你家全家当纸钱。 操你妈

🤩1

Showing the 12 most recent of 145 posts we hold for @TG_368. 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.

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.

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.

全球大事件🌍 「TIKTOK官方」
@qqdsj · 166,859
Telegram ranks this channel #5 of 37 here — alongside 36 others — read 11 August 2026
《今日新闻》
@cctvPH · 131,604
Telegram ranks this channel #13 of 22 here — alongside 21 others — read 11 August 2026
今日全网曝光频道
@bg855 · 345,469
Telegram ranks this channel #13 of 40 here — alongside 39 others — read 10 August 2026
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,667
Telegram ranks this channel #15 of 65 here — alongside 64 others — read 13 August 2026
斯里兰卡头条新闻曝光
@baoguangee · 199,126
Telegram ranks this channel #15 of 46 here — alongside 45 others — read 11 August 2026
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 193,543
Telegram ranks this channel #16 of 71 here — alongside 70 others — read 11 August 2026
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 149,981
Telegram ranks this channel #21 of 63 here — alongside 62 others — read 12 August 2026
东南亚曝光大事件新闻头条 exposure
@AoneExp · 115,896
Telegram ranks this channel #27 of 74 here — alongside 73 others — read 14 August 2026
柬埔寨头条事件️🅥
@HR8877 · 316,848
Telegram ranks this channel #32 of 76 here — alongside 75 others — read 10 August 2026
全球华人大事件曝光
@qqhrdsjbg · 161,220
Telegram ranks this channel #34 of 71 here — alongside 70 others — read 11 August 2026
东南亚曝光吧(吃瓜)
@SB919 · 120,228
Telegram ranks this channel #36 of 68 here — alongside 67 others — read 14 August 2026
东南亚闯荡记🪐
@ac666 · 319,437
Telegram ranks this channel #37 of 61 here — alongside 60 others — read 10 August 2026
东南亚大事件实时新闻
@sssvip2 · 266,267
Telegram ranks this channel #39 of 68 here — alongside 67 others — read 11 August 2026
东南亚大事件|曝光|悬赏|投稿🏆
@dyy83 · 124,683
Telegram ranks this channel #44 of 69 here — alongside 68 others — read 14 August 2026
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 156,877
Telegram ranks this channel #46 of 49 here — alongside 48 others — read 14 August 2026
东南亚头条曝光㊖
@bg888 · 310,066
Telegram ranks this channel #50 of 71 here — alongside 70 others — read 10 August 2026
东南亚有话说 @shuoo
@db933 · 186,963
Telegram ranks this channel #51 of 65 here — alongside 64 others — read 11 August 2026
东南亚大事件(吃瓜)
@HH9915 · 136,893
Telegram ranks this channel #62 of 73 here — alongside 72 others — read 14 August 2026

This channel appears in 18 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“跑路人员曝光频道” (@TG_368), 10,591 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/TG_368.

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.