Telegram RegisterThe public register of Telegram

Channel

可乐哥の朋友圈【旺旺】

@tongzhouzhiyuan

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

21,198subscribers

-374 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-1001980370653
TypeChannel
Username@tongzhouzhiyuan
DescriptionTelegram 中文圈|名人堂|沉浮砥砺,择道而行 汇聚圈层高阶同行,沉淀优质视野与前沿风向 摒弃浮躁专注深耕以长远格局!吃瓜聊天频道 同频者汇聚频道,远见者先行,静候同道入局 🌐公群 @wwgq 娱乐 @wwyl 供需 @wwgx 💫
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/tongzhouzhiyuan

Topic

Hacking & security — 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 73% 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 6 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
@tongzhouzhiyuan/2586 · this entry25 Jul 2026, 19:09 UTC@wwgonggao/23225 Jul 2026, 19:15 UTC1.006 minutes
@wwgonggao/23927 Jul 2026, 05:31 UTC@tongzhouzhiyuan/2592 · this entry27 Jul 2026, 05:32 UTC1.00under a minute
@wwgonggao/24127 Jul 2026, 09:41 UTC@tongzhouzhiyuan/2594 · this entry27 Jul 2026, 09:41 UTC1.00under a minute
@wwgonggao/24328 Jul 2026, 09:52 UTC@tongzhouzhiyuan/2597 · this entry28 Jul 2026, 09:52 UTC1.00under a minute
@tongzhouzhiyuan/2599 · this entry28 Jul 2026, 13:56 UTC@wwgonggao/24428 Jul 2026, 13:56 UTC1.00under a minute
@wwgonggao/24628 Jul 2026, 14:00 UTC@tongzhouzhiyuan/2602 · this entry28 Jul 2026, 14:00 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@wwgonggao9 (7/8 hand-verifiable sample passed)1.00under a minute@wwgonggao (54)
@bibeisucai6 (5/6 hand-verifiable sample passed)1.002 minutesthis entry (42)
@wwdbsvip5 (5/5 hand-verifiable sample passed)1.002 minutesthis entry (41)
@wanghongbao5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (41)
@wwshibao5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (41)
@gqbobao5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (41)

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 11 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 14 comparable posts for this entry, running 25 July 2026 to 5 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 7, the earliest publisher we hold is @wanghongbao. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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 6 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

21,19821,57221,3857 August 2026 — 21,572 subscribers8 August 2026 — 21,480 subscribers9 August 2026 — 21,407 subscribers10 August 2026 — 21,390 subscribers11 August 2026 — 21,292 subscribers12 August 2026 — 21,198 subscribers7 August 202612 August 2026
6 measurements spanning 5 days, net -374. 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 21,142–21,628 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:0821,198-94
11 Aug 2026, 11:5321,292-98
10 Aug 2026, 11:3521,390-17
9 Aug 2026, 10:3121,407-73
8 Aug 2026, 07:0621,480-92
7 Aug 2026, 10:4621,572first reading

Engagement

23 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 21,198 subscribers
Avg views / post
2,700
22 posts measured
Reaction rate
0.094%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 13 of 22 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 held23 (25 July 202612 August 2026)
Views total59,367
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:14 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
153
Videos
19
Links
382

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. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

42 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1842.9%
🤣1228.6%
🤮511.9%
🖕49.52%
🤡24.76%
👎12.38%

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 13 of the 23 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 25 July 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, 15:34 UTC441 viewsread 12 August 2026
Photo

❗️ 新手做单注意事项 1.做单小弟如何保存做单证据? 全程录屏。首先确认是真担保,从他所在的公群点到群管理列表,找到你做单的管理员,然后将你们的对话记录完整录屏下来,注意一定要录到他的ID以防双删记录。 2.怎么辨别公群? 首先在真担保的公群群导航中搜索你所在的群编号,如果导航中没有,那一定就是模仿或者是假押如果有,那就从导航中进入,如果和你所在的群聊一样,证明是真公群,可以放心做单。 3.怎么判断自己的飞机号有没有被盗? 首先点开设置点击登录设备查看,除了你之外有没有其他人登录你的账号,如果有,请及时删除,并且修改二级密码,不要让有心之人有了可乘之机。 4.口令结账安全吗? 尽量不要进行口令结账,口令在任何担保的纠纷都是属于无法判定,无法受理的,尽量走扫码,或者u 5.如何进行担保报备?为什么要报备? 每个担保会有每个担保的报备模式,但是基本都是通过担保机器人报备,报备是每个担保都具有的,因为你的单子完成了并不代

9 Aug 2026, 17:06 UTC848 views1 reactionsread 12 August 2026
Photo

兄弟们 最近都不好过吧 国家的严厉打击 又要沉淀一段时间了 市场就是这样 没有迎来一次的稳定 现在赚钱越来越难了 市场有很多机会 也许我们奋斗一辈子 也始终是个小人物 但不会妨碍我们选择用什么样的方式活下去 这世界远比你想要的更精彩 所以别败给生活

1

9 Aug 2026, 15:44 UTC≈1,720 viewsread 12 August 2026

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5 Aug 2026, 13:53 UTC≈1,390 views1 reactionsread 12 August 2026

顶✳️担保,26.4万U也被转走了,还剩0.8U…… 就在刚刚,顶✳️担保上押地址转出 264372 U,上押地址还有余额0.8U! 顶✳️这边本来就负责人长期失联、客服停摆、上下押无法正常处理,现在又来一笔大额资金异动,风险等级继续往上拉

1

1 Aug 2026, 20:06 UTC≈6,510 views11 reactionsread 12 August 2026
Photo

很晚了 说几句心里话。 我是旺旺,也是你们口中的可乐哥。 这段时间发生了很多事情,行业里的各种风波大家都看在眼里,也让很多人对整个市场失去了信心。无论是合作伙伴,还是一直关注我们的朋友,我相信大家心里都会有顾虑、有疑问,这些都很正常,也能够理解。 其实经历了这些事情以后,我反而想明白了一件事。 现在这个行业,早就不是靠几句宣传、几个活动、几张海报就能赢得市场的时候了。大家越来越理性,也越来越谨慎。广告可以包装,数据可以展示,但真正让人留下来的,还是时间、规则和信誉。 以前大家比的是谁发展得快,现在大家更关心的是谁能一直做下去;以前大家看的是福利,现在大家更在意的是遇到事情有没有人负责,承诺能不能兑现,平台还能不能一直稳定运营。 对于之前出现的各种舆论和质疑,我们不会回避。我理解大家为什么会担心,也知道信任一旦受到影响,不可能靠一篇公告、几句话就重新建立。 信任,从来不是解释出来的,而是一天一天做出来的。 今天说得

8🤣3

29 Jul 2026, 05:33 UTC≈2,030 views6 reactionsread 12 August 2026
Photo

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🤣31🖕1🤮1

28 Jul 2026, 19:20 UTC≈1,380 viewsread 12 August 2026
Photo

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28 Jul 2026, 17:38 UTC≈21,600 views3 reactionsread 12 August 2026

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1👎1🤣1

Signed 旺旺担保客服 @wwdb【公群/专群/供需/纠纷】

28 Jul 2026, 14:26 UTC≈1,290 viewsread 12 August 2026

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Signed 旺旺担保客服 @wwdb【公群/专群/供需/纠纷】

28 Jul 2026, 14:09 UTC≈2,040 viewsread 12 August 2026

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Signed 旺旺担保客服 @wwdb【公群/专群/供需/纠纷】

28 Jul 2026, 14:00 UTC≈2,070 viewsread 12 August 2026

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Signed 旺旺担保-琦琦 @sbdb【宣传客服】

Showing the 12 most recent of 23 posts we hold for @tongzhouzhiyuan. 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 — 44,878 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.

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.

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.

“可乐哥の朋友圈【旺旺】” (@tongzhouzhiyuan), 21,198 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/tongzhouzhiyuan.

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.