Telegram RegisterThe public register of Telegram

Channel

🇹🇼台灣玲子頼wrq1014的犯罪學生區

@av61712

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

875subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003901136572
TypeChannel
Username@av61712
CreatedBetween 1 April 2026 and 1 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/av61712

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

875876875.56 Aug 2026, 19:49 — 876 subscribers6 Aug 2026, 19:50 — 876 subscribers7 Aug 2026, 18:46 — 875 subscribers6 Aug 2026, 19:497 Aug 2026, 18:46
3 measurements taken within a single day, net -1. 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 875–876 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 18:46875-1
6 Aug 2026, 19:50876no change
6 Aug 2026, 19:49876first reading

Engagement

15 posts held, back to 1 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.99%
avg views ÷ 875 subscribers
Avg views / post
43.7
13 posts measured
Reaction rate
1.65%
reactions ÷ views · ER floor
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. It is computed over the 2 of 13 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 6 August 2026
Posts held15 (1 August 20266 August 2026)
Views total568
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:50 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.

Reaction mix

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👎2100.0%

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 2 of the 15 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 1 August 2026 to 6 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

6 Aug 2026, 16:00 UTC10 viewsread 6 August 2026
Photo

TG必备搜索引擎,新币搜🔍@xbso @xbso 轻松帮您找到有趣的群、频道、视频、音乐、电影、新闻。 👇👇点击下方按钮,快速搜索👇👇

6 Aug 2026, 13:57 UTC17 viewsread 6 August 2026

当前机器人搜索功能:已开启 管理员使用命令 /open 开启群搜功能; /close 关闭群搜功能 进行切换

6 Aug 2026, 13:44 UTC20 viewsread 6 August 2026
Photo

TG必备搜索引擎,新币搜🔍@xbso @xbso 轻松帮您找到有趣的群、频道、视频、音乐、电影、新闻。 👇👇点击下方按钮,快速搜索👇👇

6 Aug 2026, 13:32 UTC19 viewsread 6 August 2026

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4 Aug 2026, 07:13 UTC56 viewsread 6 August 2026
Forwarded from @av617Photo

#中部可約 #蘿莉控必點 🇹🇼沐沐/154/43/C/19歲 🎁蘿莉控必點 嬌小可愛 打扮超甜美 年僅20歲的新人嫩妹 經驗不多但是極好控制 可以讓哥哥當成性愛肉便器灌的滿滿喔~ #約妹免車資免無套小費 #立減5000 📱:@wrq1014 📱LINE: wrq1014 ⭐Gleezy: jp1111 👑全台正妹區 ❤️玲子的簽到群 一鍵加入所有頻道: https://t.me/addlist/3grbfFQEacA5ZDdl

4 Aug 2026, 07:13 UTC43 viewsread 6 August 2026
Forwarded from @av617Photo

#南部可約 #麻豆兼職 🇹🇼綺麗/166/48/E/24歲 🎁皮膚白 身材比例完美 巨乳手感爆炸 氣質型性感 不是張揚的路線 在床上敢玩超騷 主動又投入 #約妹免車資免無套小費 #立減5000 📱:@wrq1014 📱LINE: wrq1014 ⭐Gleezy: jp1111 👑全台正妹區 ❤️玲子的簽到群 一鍵加入所有頻道: https://t.me/addlist/3grbfFQEacA5ZDdl

4 Aug 2026, 07:13 UTC39 viewsread 6 August 2026
Forwarded from @av617Photo

#北部可約 #色色大奶妹 🇹🇼希希/165/46/E/23歲 🎁喜歡相互配合的感覺 想要被塞滿 #性慾太強了 很會搖 喜歡做上去搖 根本停不下來 #約妹免車資免無套小費 #立減5000 📱:@wrq1014 📱LINE: wrq1014 ⭐Gleezy: jp1111 👑全台正妹區 ❤️玲子的簽到群 一鍵加入所有頻道: https://t.me/addlist/3grbfFQEacA5ZDdl

3 Aug 2026, 05:35 UTC79 viewsread 6 August 2026
Photo

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3 Aug 2026, 04:11 UTC67 viewsread 6 August 2026
Photo

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Showing the 12 most recent of 15 posts we hold for @av61712. 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 — 376,931 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

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

Named by 9 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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“🇹🇼台灣玲子頼wrq1014的犯罪學生區” (@av61712), 875 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/av61712.

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.