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Telegram profile photo for 泰国头条爆料(Bole新闻)

Channel

泰国头条爆料(Bole新闻)

@thnews

2 usernames

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

7,546subscribers

+347 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002240391941
TypeChannel
Usernames@bolethailand @thnews
Description#泰国爆料 #泰国头条 @thnews #泰国新闻 泰国头条爆料频道,新闻爆料都看Bole新闻! 投稿爆料找工作: @Bole90Com_Bot Bole新闻官方网址: www.bole.news 苹果/谷歌应用商店搜索:Bole新闻 🇵🇭菲律宾爆料频道:https://t.me/phnews 🇻🇳越南爆料频道:https://t.me/vnnews 东南亚华人交流群:https://t.me/boleguanfang 东南亚求职&招聘:https://t.me/bolezhaopin
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/thnews

Topic

National news — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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 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
@thnews/40597 · this entry7 Aug 2026, 09:00 UTC@phnews/654657 Aug 2026, 09:00 UTC1.00under a minute
@thnews/40605 · this entry7 Aug 2026, 10:00 UTC@phnews/654737 Aug 2026, 10:00 UTC1.00under a minute
@thnews/40610 · this entry7 Aug 2026, 11:00 UTC@phnews/654797 Aug 2026, 11:00 UTC1.00under a minute
@thnews/40617 · this entry7 Aug 2026, 13:00 UTC@phnews/654877 Aug 2026, 13:00 UTC1.00under a minute
@thnews/40648 · this entry8 Aug 2026, 07:30 UTC@phnews/655248 Aug 2026, 07:30 UTC1.00under a minute
@thnews/40686 · this entry9 Aug 2026, 04:00 UTC@phnews/6563910 Aug 2026, 04:00 UTC1.0024 hours
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
@phnews11 (8/8 hand-verifiable sample passed)1.00under a minute@phnews (8–3)

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. 8 of the 8 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 441 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 key clone_copy, 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

7,14712,3549,750.57,5467 August 202611 November 2026
64 measurements spanning 96 days, net +347. 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 6,366–13,135 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 10:407,546-41
9 Nov 2026, 15:197,587-144
7 Nov 2026, 22:357,731-165
6 Nov 2026, 07:307,896-119
5 Nov 2026, 02:288,015-225
3 Nov 2026, 11:128,240-883
1 Nov 2026, 19:319,123-108
31 Oct 2026, 05:109,231-82
30 Oct 2026, 04:069,313-213
27 Oct 2026, 18:489,526-93
27 Oct 2026, 05:499,619-87
24 Oct 2026, 08:369,706no change
24 Oct 2026, 08:169,706-244
20 Oct 2026, 23:469,950no change
20 Oct 2026, 22:059,950-139
19 Oct 2026, 21:3410,089no change
19 Oct 2026, 19:5810,089-77
18 Oct 2026, 23:5910,166no change
18 Oct 2026, 19:4510,166-91
18 Oct 2026, 01:2610,257first reading

Engagement

517 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 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.4%
avg views ÷ 7,546 subscribers
Avg views / post
1,010
214 posts measured
Reaction rate
0.684%
reactions ÷ views · ER floor
Posts in window
214
of 517 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 121 of 214 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 held517 (7 August 2026 – 11 November 2026)
Views total216,746
Reactions total823
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 16:52 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
≈27,200
Videos
≈5,470
Links
≈18,700

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 03m
Average length
38s

Measured directly from 101 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

1,156 reactions across 275 posts, in 27 distinct kinds. The most used accounts for 25.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍29325.3%
🔥19416.8%
👏18315.8%
❤13611.8%
🥰13511.7%
👎685.88%
🤔403.46%
🎉292.51%
😁221.90%
😱110.952%
💯90.779%
😢80.692%
🤩70.606%
🤡40.346%
🤬30.26%
❤‍🔥20.173%
🤯20.173%
🌚10.087%
🌭10.087%
🍌10.087%
7 further kinds70.606%

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 277 of the 517 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 1,156 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 517 most recent posts we hold, published 7 August 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: 114 of 214 posts held from the last 30 days (53.3%) 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, 16:33 UTC≈1,200 viewsread 11 November 2026
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11 Nov 2026, 15:33 UTC≈1,180 viewsread 11 November 2026
Video

#泰国新闻 #今日热点 #热点新闻 : 📜📜📜今日泰国热点新闻汇总‼️‼️‼️ 1、泰国华富里府查获460公斤冰毒,25岁男子在集装箱内被捕 https://bole.news/news/28592 2、泰国警方连续查获两批疯药,清迈清莱合计约980万粒 https://bole.news/news/28590 3、泰国网警横扫5地抓获7人!两宗诈骗案追回187万泰铢 https://bole.news/news/28591 4、泰国沙敦府发生路边爆炸,学生接送车受损、3人受伤 https://bole.news/news/28596 5、泰国普吉两名少年因2000铢纠纷持械袭击,51岁男子身亡 https://bole.news/news/28594 👉 投稿爆料 👉 商务客服 💵💵💵💵💵💵💵💵💵💵 香港🇭🇰《诺威达移民》📣最快20天🚀帮你拿新护照,全球身份规划专家团队规划.安全|省心省力🔔

11 Nov 2026, 14:33 UTC≈1,150 views7 reactionsread 11 November 2026
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11 Nov 2026, 13:33 UTC≈1,100 views8 reactionsread 11 November 2026
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11 Nov 2026, 12:33 UTC≈1,140 views8 reactionsread 11 November 2026
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11 Nov 2026, 12:03 UTC≈1,100 views5 reactionsread 11 November 2026
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11 Nov 2026, 12:00 UTC≈1,080 viewsread 11 November 2026
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11 Nov 2026, 11:33 UTC949 views7 reactionsread 11 November 2026
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📜📜📜 #泰国 网络警察前日通报,两宗 #网络诈骗 案共追回1,874,294泰铢,并将款项返还两名受害者。警方在四色菊、北榄、巴吞他尼、乌汶及曼谷展开搜查,逮捕7名涉嫌转移诈骗资金人员。 首宗案件中,一名65岁退休女教师误信Facebook广告及LINE投资群,以“高回报任务”为由11次转账,损失近498万泰铢。警方冻结账户并追回约110万泰铢。 另案受害人遭诈骗者通过TikTok及LINE诱导参与“配图赚佣金”任务,22次转账损失逾110万泰铢。警方冻结涉案账户70万泰铢。案件仍在追查中。 👉 投稿爆料 👉 商务客服 💵💵💵💵💵💵💵💵💵💵 佳运支付:EBPAY全球领先

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11 Nov 2026, 11:03 UTC880 views7 reactionsread 11 November 2026
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📜📜📜 泰国警方连续查获两批疯药合计约980万粒⚠️⚠️ #泰国 第五警区及缉毒警察昨日通报,在清迈府和清莱府分别查获两批大规模毒品,共缴获约980万粒 #疯药。 其中480万粒藏于清迈一处住宅内,警方随后抓获一名72岁泰国籍男子。另一批约500万粒在清莱一辆遭弃置的轿车及附近区域发现,涉案司机在逃。 警方正在分别调查其来源、运输路线及涉案网络,相关人员的刑事责任仍待后续司法程序处理。 👉 投稿爆料 👉 商务客服 💵💵💵💵💵💵💵💵💵💵 香港🇭🇰《诺威达移民》📣最快20天🚀帮你拿新护照,全球身份规划专家团队规划.安全|省心省力🔔

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11 Nov 2026, 10:33 UTC899 views7 reactionsread 11 November 2026
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📜📜📜 华富里府查获 #冰毒,一男子集装箱内落网‼️ #泰国 曼谷都会警察总局第一分局昨日通报,警方8日晚在华富里府直辖县空敦镇3333号公路旁一处 #集装箱 内,查获460公斤冰毒,并逮捕一名25岁男子素瓦猜。 警方此前追查曼谷地区零售毒品案时获悉,有跨境贩毒网络疑将大批毒品运至华富里府,暂存后再分销至曼谷及周边地区。侦查人员监视集装箱时,发现内部有人以手机灯光清点货物,随即进入检查。 警方在现场发现素瓦猜正清点疑似毒品包裹,经确认共为460公斤冰毒。该男子涉嫌非法持有第一类毒品用于贩卖,目前已被移交缉毒部门调查。警方正追查毒品来源、运输路线及幕后组织。 👉 投稿爆料 👉 商务客服 💵💵💵💵💵💵💵💵💵💵 🇹🇭泰國小萬通👉萬事皆可通。

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11 Nov 2026, 10:03 UTC810 views7 reactionsread 11 November 2026
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11 Nov 2026, 10:00 UTC812 viewsread 11 November 2026
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Showing the 12 most recent of 517 posts we hold for @thnews. 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.

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

“泰国头条爆料(Bole新闻)” (@thnews), 7,546 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/thnews.

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.