Telegram RegisterThe public register of Telegram

Channel

【东南亚】曝光悬赏吃瓜

@YTT357

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

222,231subscribers

-1,025 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1001224019021
TypeChannel
Username@YTT357
Description🔰曝光/商务: @Gudu357 🔰双向/投稿:@YTT357Bot ✅亚太联盟旗下: 欢迎投稿与鉴定 关键词搜索:#曝光 #悬赏 #骗子 #跑路 #跳票 #黑平台 #东南亚 #柬埔寨 #菲律宾 #缅甸 #缅北 #迪拜 #泰国 #狗推 #新闻 #寻人启事
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/YTT357

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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

222,231223,256222,743.510 August 2026 — 223,256 subscribers10 August 2026 — 223,227 subscribers11 August 2026 — 222,550 subscribers12 August 2026 — 222,231 subscribers10 August 202612 August 2026
4 measurements spanning 2 days, net -1,025. 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 222,077–223,410 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 07:42222,231-319
11 Aug 2026, 10:02222,550-677
10 Aug 2026, 09:12223,227-29
10 Aug 2026, 08:01223,256first reading

Engagement

80 posts held, back to 9 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 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.92%
avg views ÷ 222,231 subscribers
Avg views / post
6,480
80 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
80
of 80 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held80 (9 August 202612 August 2026)
Views total518,660
Reactions total8,752
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:58 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
17,900
Videos
8,920
Links
14,300

Lifetime counters from Telegram’s own channel header, read 12 August 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
11m 43s
Average length
22s

Measured directly from 32 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

8,752 reactions across 80 posts, in 11 distinct kinds. The most used accounts for 11.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,00211.4%
😁95010.9%
👍93210.6%
🔥92410.6%
🎉91210.4%
💩8369.55%
🤮8129.28%
😱8029.16%
😢7929.05%
👎7899.02%
👏10.011%

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 80 of the 80 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 8,752reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 80 most recent posts we hold, published 9 August 2026 to 12 August 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

12 Aug 2026, 16:01 UTC≈5,470 views108 reactionsread 12 August 2026
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12 Aug 2026, 15:34 UTC≈5,650 views106 reactionsread 12 August 2026
Video

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12 Aug 2026, 15:00 UTC≈5,850 views110 reactionsread 12 August 2026
Video

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12 Aug 2026, 14:35 UTC≈6,040 views109 reactionsread 12 August 2026
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12 Aug 2026, 14:26 UTC≈6,080 views107 reactionsread 12 August 2026
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12 Aug 2026, 13:40 UTC≈6,330 views107 reactionsread 12 August 2026
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12 Aug 2026, 13:26 UTC≈6,430 views109 reactionsread 12 August 2026
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12 Aug 2026, 13:02 UTC≈6,510 views105 reactionsread 12 August 2026
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12 Aug 2026, 12:34 UTC≈6,620 views107 reactionsread 12 August 2026
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12 Aug 2026, 11:40 UTC≈6,680 views109 reactionsread 12 August 2026
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12 Aug 2026, 11:00 UTC≈6,670 views106 reactionsread 12 August 2026
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12 Aug 2026, 10:42 UTC≈6,690 views109 reactionsread 12 August 2026
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🎥曝光:#柬埔寨 #骗子 #注意 女孩子去KTV上班辛苦 只在包厢陪400 到手300 也不给 欠很多女孩钱一年都不回做了很多坏事 是一个渣男 借钱不换 以前在金边卖 后续关注 @DLBGB #网友爆料 = = = = = =广告日推推送= = = = = 🪙全局曝光搜索 @YTT357Bot 🪙骗子无处不在 但愿尽我所能 🪙曝光悬赏吃瓜 为你保驾护航 🔎曝光/商务: @Gudu357

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Showing the 12 most recent of 80 posts we hold for @YTT357. 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.

Citation-graph rank

Citation-graph rank — 869,184 of 1,084,084entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“【东南亚】曝光悬赏吃瓜” (@YTT357), 222,231 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/YTT357.

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.