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Channel

凌雪公益破解『全游戏公益破解资源』

@bmnb78

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Domains linked from posts · Cite this entry

21,588subscribers

-23,170 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-1003539596892
TypeChannel
Username@bmnb78
Created15 January 2026 — measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live17 October 2026
Measurements held40
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/bmnb78

Topic

Software piracy — 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 83% 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 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bmnb78/7556 · this entry5 Aug 2026, 11:52 UTC@bmgwjnb/292115 Aug 2026, 11:52 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bmgwjnb11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–1)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 3 April 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 2, the earliest publisher we hold is @bmgwjnb. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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

21,58845,88333,735.57 August 2026 — 44,758 subscribers8 August 2026 — 44,702 subscribers9 August 2026 — 44,517 subscribers10 August 2026 — 44,348 subscribers11 August 2026 — 44,311 subscribers12 August 2026 — 44,255 subscribers13 August 2026 — 44,261 subscribers14 August 2026 — 44,144 subscribers16 August 2026 — 43,698 subscribers17 August 2026 — 43,204 subscribers18 August 2026 — 42,928 subscribers19 August 2026 — 42,589 subscribers20 August 2026 — 42,213 subscribers21 August 2026 — 41,876 subscribers22 August 2026 — 41,660 subscribers24 August 2026 — 40,499 subscribers25 August 2026 — 39,747 subscribers26 August 2026 — 45,883 subscribers27 August 2026 — 45,362 subscribers28 August 2026 — 44,286 subscribers29 August 2026 — 42,567 subscribers30 August 2026 — 41,294 subscribers31 August 2026 — 40,984 subscribers1 September 2026 — 40,401 subscribers2 September 2026 — 39,287 subscribers4 September 2026 — 38,160 subscribers6 September 2026 — 36,984 subscribers10 September 2026 — 34,615 subscribers12 September 2026 — 33,082 subscribers14 September 2026 — 31,355 subscribers15 September 2026 — 30,050 subscribers17 September 2026 — 28,296 subscribers28 September 2026 — 21,885 subscribers5 October 2026 — 24,943 subscribers9 October 2026 — 24,212 subscribers13 October 2026 — 22,246 subscribers14 October 2026 — 21,949 subscribers15 October 2026 — 21,766 subscribers16 October 2026 — 21,599 subscribers17 October 2026 — 21,588 subscribers7 August 202617 October 2026
40 measurements spanning 71 days, net -23,170. 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 17,944–49,527 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)SubscribersChange
17 Oct 2026, 21:3621,588-11
16 Oct 2026, 22:4721,599-167
15 Oct 2026, 20:2621,766-183
14 Oct 2026, 20:1621,949-297
13 Oct 2026, 15:0622,246-1,966
9 Oct 2026, 16:0224,212-731
5 Oct 2026, 05:1624,943+3,058
28 Sept 2026, 13:4021,885-6,411
17 Sept 2026, 18:4028,296-1,754
15 Sept 2026, 17:5830,050-1,305
14 Sept 2026, 00:0131,355-1,727
12 Sept 2026, 08:3933,082-1,533
10 Sept 2026, 01:1834,615-2,369
6 Sept 2026, 17:2136,984-1,176
4 Sept 2026, 03:1638,160-1,127
2 Sept 2026, 16:3739,287-1,114
1 Sept 2026, 11:5540,401-583
31 Aug 2026, 14:5340,984-310
30 Aug 2026, 15:5341,294-1,273
29 Aug 2026, 13:5242,567first reading

Engagement

284 posts held, back to 15 January 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 102 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.16%
avg views ÷ 21,588 subscribers
Avg views / post
467
96 posts measured
Reaction rate
2.39%
reactions ÷ views · ER floor
Posts in window
96
of 284 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 94 of 96 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 13 October 2026
Posts held284 (15 January 2026 – 13 October 2026)
Views total44,850
Reactions total1,069
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 03:13 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
51s
Average length
13s

Measured directly from 4 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

1,800 reactions across 252 posts, in 28 distinct kinds. The most used accounts for 86.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,55186.2%
❤824.56%
😍502.78%
🎉160.889%
🔥160.889%
😁150.833%
🥰150.833%
🍌140.778%
🤗50.278%
❤‍🔥40.222%
👏40.222%
🍾30.167%
😈30.167%
🤝30.167%
🤣30.167%
🏆20.111%
👾20.111%
💔20.111%
🍓10.056%
🎄10.056%
8 further kinds80.444%

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 259 of the 284 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 1,800 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 284 most recent posts we hold, published 15 January 2026 to 13 October 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 283 we hold a reading for · 0.7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bmnb78. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 284 most recent posts we hold for this entry, published 15 January 2026 to 13 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

13 Oct 2026, 02:52 UTC11 views8 reactionsread 13 October 2026
Photo

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👍8

Signed 全网收管理 @raxguang

13 Oct 2026, 00:16 UTC28 views5 reactionsread 13 October 2026

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👍4❤1

Signed SOSO搜搜

12 Oct 2026, 21:09 UTC56 views2 reactionsread 13 October 2026

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👍2

12 Oct 2026, 14:52 UTC2 views7 reactionsread 12 October 2026
Photo

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👍7

Signed 全网收管理 @raxguang

12 Oct 2026, 01:52 UTC11 views4 reactionsread 12 October 2026
Photo

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👍4

Signed 全网收管理 @raxguang

12 Oct 2026, 00:11 UTC19 views7 reactionsread 12 October 2026

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👍7

Signed SOSO搜搜

11 Oct 2026, 04:57 UTC519 views28 reactionsread 13 October 2026
Photo

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👍28

11 Oct 2026, 02:43 UTC1 views0 reactionsread 11 October 2026

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11 Oct 2026, 02:25 UTC3 views21 reactionsread 11 October 2026
Forwarded from @Bin565656

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👍20🥰1

11 Oct 2026, 01:52 UTC16 views18 reactionsread 11 October 2026
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😃😀😃 🤬公益直装😂🔠🔠🔠 🔠🔠🔠😂 RAX MOD国外顶级开发者开发,真正做到安全稳定,出现问题第一时间更新⭐ 支持游戏⬇️ 1️⃣.三角洲🎮 (适配 国服 国际服 台湾服) 2️⃣.无畏契约🫥 3️⃣.和平精英🎮 4️⃣ 失控进化 功能介绍:⬇️ 1️⃣独家一体过签名一体安装包🐮 2️⃣高清绘制真正做到丝滑游戏 3️⃣独家自瞄,安全稳定高效运作真正做到枪枪到肉 🌟 抓紧点击下方体验 😂加入频道 😂 😂加入频道😂 🔥频道 https://t.me/+IpbHYQRoIIs5ZWJk 全网收管理位 联系 @raxguang

👍17🥰1

Signed 全网收管理 @raxguang

10 Oct 2026, 14:23 UTC110 views26 reactionsread 11 October 2026
Forwarded from @HERONB88

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👍26

10 Oct 2026, 12:52 UTC13 views24 reactionsread 10 October 2026
Photo

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Signed 全网收管理 @raxguang

Showing the 12 most recent of 284 posts we hold for @bmnb78. 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.

Posts edited after publishing

@bmnb78 edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
26 August 2026

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

4 Sept 2026, 07:03 UTCAnonymous Poll79 voters

你们都开学了吗?

  1. 开学了58%
  2. 还没有42%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 16:57 UTCAnonymous Poll83 voters

感觉做文件已经没有什么出路了 你们想不想让我做破解或者三角洲?

  1. 继续更新和平文件36%
  2. 更新直装内核破解34%
  3. 做三角洲项目52%

The shares total 122%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

23 Aug 2026, 17:03 UTCAnonymous Poll227 voters

明天更新什么?

  1. 和平文件22%
  2. 和平内透18%
  3. 和平范围25%
  4. 三角洲45%
  5. 无畏契约22%

The shares total 132%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 284 most recent posts we hold, published 15 January 2026 to 13 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 8 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.

Domains linked from posts

3 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

pan.baidu.comregistrable domain: baidu.com11 posts · 3 April 2026 – 7 August 2026 · example post
luoye.chyidc.cnregistrable domain: chyidc.cn2 posts · 26 July 2026 – 5 August 2026 · example post
new.kxtrl.cnregistrable domain: kxtrl.cn1 post · 5 April 2026 – 5 April 2026 · example post

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

“凌雪公益破解『全游戏公益破解资源』” (@bmnb78), 21,588 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/bmnb78.

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.