Telegram RegisterThe public register of Telegram

Channel

🔔妞妞全台·好妹-心得放送·Gleezy🆔:c950511

@line0c8411

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

2,555subscribers

-1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001560112303
TypeChannel
Username@line0c8411
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/line0c8411

Topic

Adult — 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 98% 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@linec8411/61055 Aug 2026, 03:00 UTC@line0c8411/15359 · this entry5 Aug 2026, 03:01 UTC1.0072 seconds
@linec8411/61085 Aug 2026, 03:18 UTC@line0c8411/15362 · this entry5 Aug 2026, 03:18 UTC1.00under a minute
@line0c8411/15376 · this entry6 Aug 2026, 02:37 UTC@linec8411/61106 Aug 2026, 02:38 UTC1.00under a minute
@line0c8411/15378 · this entry6 Aug 2026, 02:38 UTC@linec8411/61126 Aug 2026, 02:38 UTC1.00under a minute
@line0c8411/15387 · this entry7 Aug 2026, 02:13 UTC@linec8411/61167 Aug 2026, 02:13 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@linec84115 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (32)

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 1 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 11 comparable posts for this entry, running 5 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 2, the earliest publisher we hold is @linec8411. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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

2,5532,5562,554.57 August 2026 — 2,556 subscribers7 August 2026 — 2,553 subscribers10 August 2026 — 2,555 subscribers2,5557 August 202610 August 2026
3 measurements spanning 3 days, 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 2,553–2,556 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 05:102,555+2
7 Aug 2026, 07:512,553-3
7 Aug 2026, 00:472,556first reading

Engagement

15 posts held, back to 5 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
4.51%
avg views ÷ 2,555 subscribers
Avg views / post
115
15 posts measured
Reaction rate
0.541%
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 1 of 15 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 7 August 2026
Posts held15 (5 August 20267 August 2026)
Views total1,730
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:24 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 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 1reactions 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 5 August 2026 to 7 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

7 Aug 2026, 02:13 UTC159 viewsread 7 August 2026
Photo

#高雄 可約 今日主推▶️清新反差系女友 妹妹資訊:波恩 23歲 160/48/D #見習D奶幼稚園老師,清新甜甜外型 溫柔貼心個性,到了房內化身貪玩小貓咪😝 嬌小有料身材陪你解鎖各種性愛體位😘 可親可69可舔可摳摳..貪玩有女友感😜 〈偶爾兼職 只接預約〉 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️南部選妹: @linec8411 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

7 Aug 2026, 02:13 UTC141 viewsread 7 August 2026
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#新北 台北 龜山可約 今日主推▶️氣質饑渴系女友 妹妹資訊:晨希 28歲 163/48/E #氣質爆乳人妻,因工作原因跟老公聚少離多 結婚後也是如此,這次直接大膽下海兼職啦😝 渴望新鮮刺激,渴望嘗試不一樣的性愛花樣😌 你想得到想不到的姿勢玩法,她都想試試😜 外貌有料又饑渴,是值得一試的人妻角色呢😘 〈偶爾兼職 只接預約〉 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️北部選妹: @c6687 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.

7 Aug 2026, 02:13 UTC136 viewsread 7 August 2026
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#台中 可約 今日主推▶️氣質溫柔系女友 妹妹資訊:菲晴 24歲 165/47/C #氣質瑜伽老師,擁有漂亮臉蛋+勻稱好身材 走在路上讓人忍不住會回頭多看幾眼😍 柔軟身姿可與你暢玩各種性愛體位😌 變換各個姿勢都好誘惑,玩到你欲罷不能😈 〈偶爾兼職 只接預約〉 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️中部選妹: @linec950511 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

6 Aug 2026, 02:38 UTC185 views1 reactionsread 7 August 2026
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#台南 可約 妹妹資訊:蜜依 28歲 160/48/小E #氣質新婚人妻,嬌小有料不肉,性慾強😈 溫柔大方個性,房內色又大膽玩得超開😏 全程騷話不斷,懂挑逗,汁多耐幹高配合☺️ 優惠:一次性買兩節均可第二節半價 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️南部選妹: @linec8411 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

1

6 Aug 2026, 02:37 UTC181 viewsread 7 August 2026
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#台中 可約 妹妹資訊:鍋鍋 21歲 160/48/大D 聲音甜甜,超會撒嬌の #日系爆乳學生妹 外表甜美可愛,房內乖巧好配合,不死魚😝 變裝玩具都能玩,嬌小有料好撞又吸睛😍 優惠:一次性買兩節均可第二節半價 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️中部選妹: @linec950511 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

6 Aug 2026, 02:37 UTC155 viewsread 7 August 2026
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#高雄 可約 妹妹資訊:星潔 23歲 162/47/大C #補習班前台,外貌膚白無刺青,溫柔好聊😈 互動有女友感,約會也沒什麼限制,不偷時😝 親親舔舔69都可以,只要不變態玩法都OK😘 優惠:一次性買兩節均可第二節半價 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️南部選妹: @linec8411 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

6 Aug 2026, 02:37 UTC141 viewsread 7 August 2026
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#新北 台北 龜山可約 妹妹資訊:辰薇 24歲 165/47/C #氣質皮拉提斯老師,膚白高挑,溫柔個性☺️ 誘人肉體不管是變裝還是上手撫摸,都超讚😍 房內主動貼心不趕時間,身姿柔軟可任意玩😝 越玩越開越刺激,幹到深處越抱越緊想高潮😈 優惠:一次性買兩節均可第二節半價 —🐱—我是分割線—🐱— ❤️全台妹訊: @line0c8411 ❤️北部選妹: @c6687 ❤️學生專區: @ons17533 🌐私訊屁妞: @c950511 @ons1753 🌐屁妞LINE: c950511/ tw95511 ⭐屁妞Gleezy: c950511 🔞安全私密暢聊APP https://gleezy.net/c950511 ✨點擊加入全台約妹(Gleezy)群組 https://g.gleezy.top/tw95511 一鍵加入妞妞の情慾小宇宙🪐 https://t.me/addlist/7246yArN204wMzA1

5 Aug 2026, 14:26 UTC77 viewsread 7 August 2026
Forwarded from @line0c9505Photo

哈哈哈 剛PO完「可柔」心得~ 大大還在誇😆

5 Aug 2026, 14:04 UTC70 viewsread 7 August 2026
Forwarded from @line0c9505Photo

讓大大一進門就直呼👉真的很漂亮の「外貌高挑妹-可柔」心得來啦😝 💘可柔 23歲 170/46/C #雙北 龜山可約 臉蛋/年齡: 超級漂亮 頭髮(顏色/長度):深咖啡 長髮到下背 身高/體重/罩杯: 170 / 48 / B 今日穿搭: 酒紅one piece 細肩包臀短裙 互動/服務/過程: 一進門就覺得非常漂亮,之前的客評沒亂說,真的可以帶出門逛街吃飯,而且蠻好聊天的,不怕生。不要看可柔上半身瘦瘦的,下半身的腿跟屁股還有小穴,那是非常性感吸引人呀~ 刷牙洗澡後,上床開始,可柔會一強一弱的用嘴巴吸,吹功也了得,漸進式的加強吸力與速度,不小心會被吸出來,要專注。開始進攻可柔,全程只用一個姿勢打天下,搭配不同深度跟速度,感受可柔的包覆度與環繞音響,能清楚知道可柔的一縮一放,表情到位,可遇不可求啊各位客官,要不是趕時間,很想忍到最後一直做下去。 〈偶爾兼職 可接預約〉 🌐私訊屁妞: @c950511 @ons1753

5 Aug 2026, 10:12 UTC72 viewsread 7 August 2026
Forwarded from @line0c9505Photo

剛給完房號就到了,超迅速👍 一見到「外貌高挑妹-可柔」就直呼👉是真的很漂亮,沒唬爛!! 💘可柔 23歲 170/46/C #雙北 龜山可約

5 Aug 2026, 07:35 UTC80 viewsread 7 August 2026
Forwarded from @line0c9505

神龍不見尾の「甜美外貌妹-湘婕」再次報班了‼️ 神龍不見尾の「甜美外貌妹-湘婕」再次報班了‼️ 神龍不見尾の「甜美外貌妹-湘婕」再次報班了‼️ 💘湘婕 23歲 162/46/D #雙北 龜山可約 之前想回約或想解鎖的大大 可密妞咨詢預約了哦 @c950511

5 Aug 2026, 05:55 UTC74 viewsread 7 August 2026
Forwarded from @line0c9505

哇哇哇~ 今天全台也太多好妹了吧😍 真想妞在座的各位大大都能約到🥰

Showing the 12 most recent of 15 posts we hold for @line0c8411. 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 — 21,157 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 5 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“🔔妞妞全台·好妹-心得放送·Gleezy🆔:c950511” (@line0c8411), 2,555 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/line0c8411.

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.