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Channel

台灣外送茶“瑤瑤每日班表” 🐾

@tw2681

On this record: Growth · Engagement · Posts · Citations · Cite this entry

3,225subscribers

-35 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002996738976
TypeChannel
Username@tw2681
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/tw2681

Growth

3,2253,2603,242.57 August 2026 — 3,260 subscribers8 August 2026 — 3,258 subscribers11 August 2026 — 3,248 subscribers14 August 2026 — 3,242 subscribers17 August 2026 — 3,236 subscribers21 August 2026 — 3,225 subscribers7 August 202621 August 2026
6 measurements spanning 14 days, net -35. 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 3,220–3,265 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 03:383,225-11
17 Aug 2026, 20:543,236-6
14 Aug 2026, 16:463,242-6
11 Aug 2026, 12:243,248-10
8 Aug 2026, 05:283,258-2
7 Aug 2026, 09:333,260first reading

Engagement

11 posts held, back to 4 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
2.93%
avg views ÷ 3,225 subscribers
Avg views / post
94.4
11 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
11
of 11 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 held11 (4 August 20267 August 2026)
Views total1,038
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:38 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.

Recent posts

7 Aug 2026, 06:45 UTC73 viewsread 7 August 2026
Photo

💕資訊:心怡 164 D+ 23歲🍓 🐰地點:#雙北 #甜美 #網紅 性感火辣看著就很有感覺 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

7 Aug 2026, 06:44 UTC74 viewsread 7 August 2026
Photo

💕資訊:158 C+ 20歲🍓 🐰地點:#台中 極品 #甜美 #可愛 #網紅 下海 今天只接一個 #台中 可約 名額只有1個 腰細腿細小穴緊 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

6 Aug 2026, 08:49 UTC90 viewsread 7 August 2026
Photo

💕資訊:蘇珊164.47.D.23歲🍓 🐰地點:#高雄 #屁股翹 #床上更是很淫蕩 激情四射 身材完美展現出來 可配合變裝 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

6 Aug 2026, 08:48 UTC87 viewsread 7 August 2026
Photo

💕資訊:鹿鹿 163 D奶 21歲🍓 🐰地點:#台中 #初次報班 D奶軟嫩嫩 乳頭粉粉的超敏感 一舔就硬到翹起來 小穴緊到像沒被人開過 #夾起來會吸住不放 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

6 Aug 2026, 08:45 UTC77 viewsread 7 August 2026
Photo

💕資訊:小悠 22y C 166🍓 🐰地點:#雙北 骨感腰細 #學生外表乖乖的 一靠近就很黏 眼神會撩 動作很騷 說話輕聲細語 身體卻很熱 反差感重 很容易失控 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

6 Aug 2026, 08:41 UTC76 viewsread 7 August 2026
Photo

💕資訊:小貝 158 C 20歲🍓 🐰地點:#雙北 #清純女友 服務細心 熱情 配合度100% ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

5 Aug 2026, 08:04 UTC116 viewsread 7 August 2026
Photo

💕資訊:貝貝 163 D 23歲 🍓 🐰地點:#雙北 #私房菜 寵物店美容師 溫柔小可愛 貼心小女友 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

5 Aug 2026, 08:04 UTC120 viewsread 7 August 2026
Photo

💕資訊:橘子 158 D+ 22歲 🍓 🐰地點:#高雄 #飲料店店員 #像初戀的鄰家女孩 反差騷貨 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

5 Aug 2026, 08:04 UTC98 viewsread 7 August 2026
Photo

💕資訊:小米 159 B奶18歲 🍓 🐰地點:#台中 #學生新品 第一次下海 粉嫩毛少+小穴超緊實 ⭐️密瑤瑤秒回 ₍˄·͈༝·͈˄₎◞ 🌐 𝑳𝒊𝒏𝒆:un1377 🌐 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎:𝒖𝒏𝟏𝟑𝟕𝟕 ⭐ 𝑮𝒍𝒆𝒆𝒛𝒚:𝒖𝒏𝟏𝟑𝟕𝟕 🥰 正妹報班:@tw2681 🌐 正妹論壇: http://www.ig869.com

Signed 長腿瑤瑤妹

5 Aug 2026, 07:37 UTC96 viewsread 7 August 2026
Sticker

Sticker, posted without a caption

Signed 長腿瑤瑤妹

4 Aug 2026, 05:46 UTC131 viewsread 7 August 2026

高雄(特價限定) ⭐️子芸 163.D.26歲 超商店員 #4000 ⭐️雅涵 170.C.24歲 廣告模特 #6000 ⭐️婉婷 161.C.24歲 幼教助理 #6000 ⭐️依玲 160.D.23歲 護理師 #5000 台南(特價限定) ⭐️宇心 157.C.22歲 書店工讀 #5000 ⭐️筱琪 162.D.25歲 護理師 #4000 ⭐️亭匀 171.C.23歲 秀場模特 #5000 ⭐️佩甄 161.D.22歲 幼稚園助教 #4000 ⭐️佳葳 160.C.24歲 圖書館工讀 #4000

Signed 長腿瑤瑤妹

Showing the 11 most recent of 11 posts we hold for @tw2681. 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 — 260,790 of 1,584,142entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“台灣外送茶“瑤瑤每日班表” 🐾” (@tw2681), 3,225 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/tw2681.

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.