Telegram RegisterThe public register of Telegram

Channel

高级本地妹👉援交频道👌🇲🇾

@missliyuanjiao

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

3,080subscribers

+6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001260790889
TypeChannel
Username@missliyuanjiao
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/missliyuanjiao

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 97% 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 4 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
@feifeivcsex/7253246 Aug 2026, 15:29 UTC@missliyuanjiao/735165 · this entry6 Aug 2026, 15:29 UTC1.00under a minute
@feifeivcsex/7253346 Aug 2026, 15:29 UTC@missliyuanjiao/735175 · this entry6 Aug 2026, 15:29 UTC1.00under a minute
@feifeivcsex/7253356 Aug 2026, 15:31 UTC@missliyuanjiao/735176 · this entry6 Aug 2026, 16:13 UTC1.0043 minutes
@missliyuanjiao/735177 · this entry6 Aug 2026, 19:11 UTC@feifeivcsex/7253366 Aug 2026, 19:11 UTC1.00under a minute
@missliyuanjiao/735178 · this entry6 Aug 2026, 19:11 UTC@feifeivcsex/7253376 Aug 2026, 19:11 UTC1.00under a minute
@feifeivcsex/7253386 Aug 2026, 19:12 UTC@missliyuanjiao/735179 · this entry6 Aug 2026, 19:12 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@feifeivcsex8 (8/8 hand-verifiable sample passed)1.00under a minute@feifeivcsex (62)
@steadybombibi998 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (53)
@partygirl888 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (62)
@damaqun7 (7/7 hand-verifiable sample passed)1.00under a minute@damaqun (52)

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 15 comparable posts for this entry, running 6 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 5, the earliest publisher we hold is @steadybombibi99. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · 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 4 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

3,0743,0803,0776 August 2026 — 3,074 subscribers6 August 2026 — 3,074 subscribers10 August 2026 — 3,080 subscribers6 August 202610 August 2026
3 measurements spanning 3 days, net +6. 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 3,073–3,081 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 01:283,080+6
6 Aug 2026, 20:313,074no change
6 Aug 2026, 20:283,074first reading

Engagement

15 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.242%
avg views ÷ 3,080 subscribers
Avg views / post
7.5
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
of 15 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 held15 (6 August 20267 August 2026)
Views total112
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:59 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
10s
Average length
10s

Measured directly from 1 video 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, 19:01 UTC8 viewsread 7 August 2026
Forwarded from @etwin555Photo

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7 Aug 2026, 19:01 UTC4 viewsread 7 August 2026
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7 Aug 2026, 19:00 UTC4 viewsread 7 August 2026
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7 Aug 2026, 19:00 UTC4 viewsread 7 August 2026
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7 Aug 2026, 16:03 UTC22 viewsread 7 August 2026
Video

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7 Aug 2026, 15:19 UTC14 viewsread 7 August 2026
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7 Aug 2026, 15:19 UTC9 viewsread 7 August 2026
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📢 防诈骗提醒公告 最近发现有不法分子盗用我们的 Telegram 头像或注册与我们相似的用户名进行诈骗,请大家务必提高警惕。 ⚠️ 常见诈骗情况: 有些人会注册与我们账号非常相似的用户名,例如在原用户名后面增加一两个字母或数字,冒充客服与用户联系。 请大家在汇款或交易前,一定要仔细核对对方的 Telegram 用户名。 ⚠️ 重要提醒: • 官方客服不会主动私聊要求付款或转账 • 如有人主动联系并要求汇款,请先向官方群确认 • 请不要轻易相信陌生账号发送的付款要求 如遇到疑似诈骗情况: 1️⃣ 请截图保存聊天记录 2️⃣ 将相关截图发送给管理员核实 3️⃣ 本群会根据情况发布防骗提醒,帮助大家避免受骗 ⚠️ 为保护个人隐私: 请勿在群内公开发布完整银行账号、身份证号码、电话号码或其他个人敏感资料。 ✅ 本群的官方客服Telegram账号: 👉 @luoliaofuwu 👉 @skyparadise

7 Aug 2026, 15:18 UTC3 viewsread 7 August 2026
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6 Aug 2026, 19:12 UTC3 viewsread 6 August 2026
Photo

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6 Aug 2026, 19:12 UTC3 viewsread 6 August 2026
Forwarded from @etwin555Photo

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6 Aug 2026, 19:11 UTC3 viewsread 6 August 2026
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6 Aug 2026, 19:11 UTC3 viewsread 6 August 2026
Photo

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Showing the 12 most recent of 15 posts we hold for @missliyuanjiao. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“高级本地妹👉援交频道👌🇲🇾” (@missliyuanjiao), 3,080 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/missliyuanjiao.

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.