Telegram RegisterThe public register of Telegram

Channel

博度网官方曝光频道 @boduwang

@boduwang

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

3,265subscribers

-7 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-1002039857984
TypeChannel
Username@boduwang
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/boduwang

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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 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
@feihuawang/452127 Aug 2026, 04:02 UTC@boduwang/44416 · this entry7 Aug 2026, 04:02 UTC1.00under a minute
@feihuawang/452137 Aug 2026, 04:19 UTC@boduwang/44417 · this entry7 Aug 2026, 04:19 UTC1.00under a minute
@feihuawang/452147 Aug 2026, 05:19 UTC@boduwang/44418 · this entry7 Aug 2026, 05:19 UTC1.00under a minute
@feihuawang/452187 Aug 2026, 07:00 UTC@boduwang/44422 · this entry7 Aug 2026, 07:00 UTC1.00under a minute
@feihuawang/452227 Aug 2026, 10:02 UTC@boduwang/44426 · this entry7 Aug 2026, 10:02 UTC1.00under a minute
@feihuawang/452257 Aug 2026, 11:41 UTC@boduwang/44429 · this entry7 Aug 2026, 11:41 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@feihuawang19 (8/8 hand-verifiable sample passed)1.00under a minute@feihuawang (190)
@duterte19 (8/8 hand-verifiable sample passed)1.00under a minute@duterte (190)
@feilongwang14 (8/8 hand-verifiable sample passed)1.00under a minute@feilongwang (140)
@mengliao10 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (100)
@tnaot9 (8/8 hand-verifiable sample passed)1.00under a minute@tnaot (63)
@jiandanwang8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (80)
@taiguowang8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (80)

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. 58 of the 58 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 26 comparable posts for this entry, running 7 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 8, the earliest publisher we hold is @duterte. 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 7 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

3,2653,2723,268.57 August 2026 — 3,272 subscribers7 August 2026 — 3,272 subscribers8 August 2026 — 3,271 subscribers11 August 2026 — 3,265 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net -7. 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 3,264–3,273 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 02:453,265-6
8 Aug 2026, 08:223,271-1
7 Aug 2026, 13:303,272no change
7 Aug 2026, 13:133,272first reading

Engagement

32 posts held, back to 7 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.062%
avg views ÷ 3,265 subscribers
Avg views / post
2.0
31 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
32
of 32 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 7 August 2026
Posts held32 (7 August 20267 August 2026)
Views total63
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:31 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
7m 49s
Average length
36s

Measured directly from 13 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.

Recent posts

7 Aug 2026, 18:02 UTC6 viewsread 7 August 2026
Video

又有中国人因假调味料被抓?宿务、巴科洛德接连查获,涉案总货值近500万比索!#菲律宾 #菲龙网 #每日热点 #热点新闻 😀😀😀😀😀😀😀😀😀😀😀 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡ 玩U投,上TG娱乐城 2026美加墨世界杯官方指定投注平台 全网最强福利 最高返利75% 全网上押担保1300万u 业界龙头 网投领导者 首存送 复存送 充值笔笔加赠3% 电子真人0审核0风控包出款 单笔提款百万u秒出 大额无忧 信誉老台 强力推荐 😀😀😀😀😀😀 😀 投稿客服 📱 资源搜索

7 Aug 2026, 17:25 UTC4 viewsread 7 August 2026
Video

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7 Aug 2026, 17:02 UTC2 viewsread 7 August 2026
Photo

#菲律宾新闻 帕拉纳克餐馆突发冲突!中国男子情绪失控闹事砸店 菲律宾帕拉纳克市近日发生一起外国男子闹事事件。一名34岁中国籍男子突然闯入一家餐馆,因情绪失控大喊大叫并砸坏店内物品,最终被警方带走调查。 事件发生在帕拉纳克市坦博社区一家餐馆。当晚约9时41分,#该男子进入店内后不断叫喊,#疑似寻找某人并试图发生争执。 过程中,男子情绪持续升级,开始破坏餐厅设施,导致顾客和员工受到惊吓。餐馆负责人为避免事态扩大,随后暂时关闭店铺。 附近巡逻警员接获消息后迅速赶到现场,将男子控制并带回警局。警方确认,该男子姓郭,34岁,居住在帕拉纳克市。目前案件已交由警方进一步调查,可能面临扰乱公共秩序以及损坏财物等相关指控。 警方提醒,在菲律宾生活或停留期间,任何人都必须遵守当地法律,情绪失控造成他人损失或影响公共安全,都可能承担法律责任。 😀😀😀😀😀😀😀😀😀😀😀 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡ 玩U投,上TG娱乐城 2026美

7 Aug 2026, 17:00 UTC1 viewsread 7 August 2026
Video

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7 Aug 2026, 16:24 UTC3 viewsread 7 August 2026
Video

中国女王红在新加坡闹事 #飞机闹事 #大声喧哗 #吵架 #警告 #干扰

7 Aug 2026, 16:00 UTC2 viewsread 7 August 2026
Video

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7 Aug 2026, 15:02 UTC4 viewsread 7 August 2026
Video

泰国校园枪击案枪手疑先杀爷爷奶奶 再赴学校开枪 #泰国

7 Aug 2026, 15:00 UTC2 viewsread 7 August 2026
Video

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7 Aug 2026, 14:46 UTC3 viewsread 7 August 2026
Video

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7 Aug 2026, 14:00 UTC1 viewsread 7 August 2026
Photo

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7 Aug 2026, 13:40 UTC2 viewsread 7 August 2026
Photo

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Showing the 12 most recent of 32 posts we hold for @boduwang. 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

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

“博度网官方曝光频道 @boduwang” (@boduwang), 3,265 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/boduwang.

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.