Telegram RegisterThe public register of Telegram

Channel

东南亚大事件 | 吃瓜新闻

@k1dny

2 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

49,617subscribers

-52 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003720308087
TypeChannel
Usernames@hotdny @k1dny
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/k1dny

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 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 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 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
@bx7007/107956 Aug 2026, 15:00 UTC@k1dny/12647 · this entry6 Aug 2026, 15:00 UTC1.00under a minute
@bx7007/108016 Aug 2026, 15:59 UTC@k1dny/12655 · this entry6 Aug 2026, 15:59 UTC1.00under a minute
@bx7007/108056 Aug 2026, 17:00 UTC@k1dny/12664 · this entry6 Aug 2026, 17:00 UTC1.00under a minute
@bx7007/108166 Aug 2026, 18:59 UTC@k1dny/12681 · this entry6 Aug 2026, 18:59 UTC1.00under a minute
@bx7007/109837 Aug 2026, 15:00 UTC@k1dny/12906 · this entry7 Aug 2026, 15:00 UTC1.00under a minute
@bx7007/109917 Aug 2026, 15:59 UTC@k1dny/12916 · this entry7 Aug 2026, 15:59 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bx70079 (8/8 hand-verifiable sample passed)1.00under a minute@bx7007 (90)
@SEA00019 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (90)
@SEA666NEWS5 (5/5 hand-verifiable sample passed)1.00under a minute@SEA666NEWS (50)

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. 14 of the 14 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 67 comparable posts for this entry, running 6 August 2026 to 8 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 4, the earliest publisher we hold is @SEA666NEWS. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 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 3 other registered channels, 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

49,33249,98149,656.56 August 2026 — 49,669 subscribers7 August 2026 — 49,692 subscribers7 August 2026 — 49,721 subscribers8 August 2026 — 49,811 subscribers8 August 2026 — 49,843 subscribers9 August 2026 — 49,926 subscribers9 August 2026 — 49,981 subscribers10 August 2026 — 49,332 subscribers10 August 2026 — 49,415 subscribers11 August 2026 — 49,443 subscribers11 August 2026 — 49,474 subscribers11 August 2026 — 49,566 subscribers12 August 2026 — 49,592 subscribers12 August 2026 — 49,617 subscribers49,6176 August 202612 August 2026
14 measurements spanning 6 days, net -52. 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 49,235–50,078 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:2549,617+25
12 Aug 2026, 03:5649,592+26
11 Aug 2026, 20:4749,566+92
11 Aug 2026, 07:1549,474+31
11 Aug 2026, 00:0449,443+28
10 Aug 2026, 08:4049,415+83
10 Aug 2026, 03:1249,332-649
9 Aug 2026, 10:5149,981+55
9 Aug 2026, 02:0149,926+83
8 Aug 2026, 10:5649,843+32
8 Aug 2026, 04:5849,811+90
7 Aug 2026, 11:4749,721+29
7 Aug 2026, 01:4049,692+23
6 Aug 2026, 19:4649,669first reading

Engagement

306 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.29%
avg views ÷ 49,617 subscribers
Avg views / post
640
306 posts measured
Reaction rate
2.06%
reactions ÷ views · ER floor
Posts in window
306
of 306 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 265 of 306 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 12 August 2026
Posts held306 (6 August 202612 August 2026)
Views total195,745
Reactions total3,441
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:47 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

Video runtime
26m 46s
Average length
22s

Measured directly from 73 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

3,441 reactions across 265 posts, in 8 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,12232.6%
76322.2%
🔥53015.4%
🙏37510.9%
🎉3399.85%
🤔1714.97%
👀1404.07%
💯10.029%

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 265 of the 306 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 3,441reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 306 most recent posts we hold, published 6 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, 19:30 UTC296 views3 reactionsread 12 August 2026
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12 Aug 2026, 19:30 UTC567 views5 reactionsread 12 August 2026

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12 Aug 2026, 19:30 UTC565 views4 reactionsread 12 August 2026

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12 Aug 2026, 19:04 UTC582 views5 reactionsread 12 August 2026
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12 Aug 2026, 18:05 UTC589 viewsread 12 August 2026
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12 Aug 2026, 17:03 UTC608 views1 reactionsread 12 August 2026
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12 Aug 2026, 17:02 UTC609 views1 reactionsread 12 August 2026
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12 Aug 2026, 16:02 UTC628 views2 reactionsread 12 August 2026
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12 Aug 2026, 15:43 UTC637 views1 reactionsread 12 August 2026
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12 Aug 2026, 15:32 UTC647 views1 reactionsread 12 August 2026

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12 Aug 2026, 15:32 UTC646 views1 reactionsread 12 August 2026
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12 Aug 2026, 15:04 UTC644 views1 reactionsread 12 August 2026
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#泰国新闻 【四色菊府突击查毒 三名僧侣尿检阳性 其中两人曾还俗又穿回僧袍】 当局接报突击两座寺庙 四名僧侣三名涉毒 其中两人此前已被剥夺僧籍 后未由住持正式剃度自行穿回袈裟 另有一人供称每周吸毒 四色菊府当局8月11日突击检查南克良县两座寺庙,对14名僧侣进行尿检,发现3人毒品阳性,其中两人此前已因涉毒被剥夺僧籍,却自行穿回僧袍继续住寺。58岁僧侣K在搜查中发现2粒冰毒药丸,供称每周或每月吸毒数次。官员表示将依法处理,并加强寺庙毒品监管。 小编PS:袈裟都挡不住毒品…… _ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot

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Showing the 12 most recent of 306 posts we hold for @k1dny. 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 — 74,222 of 1,151,006entries 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 77 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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.

“东南亚大事件 | 吃瓜新闻” (@k1dny), 49,617 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/k1dny.

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.