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Channel

小百萬外送茶🖤全台最真實客評

@line6k02

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

591subscribers

-6 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001705455286
TypeChannel
Username@line6k02
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/line6k02

Growth

5915975947 August 2026 — 597 subscribers7 August 2026 — 597 subscribers7 August 2026 — 596 subscribers14 August 2026 — 595 subscribers20 August 2026 — 591 subscribers7 August 202620 August 2026
5 measurements spanning 13 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 590–598 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 15:23591-4
14 Aug 2026, 06:18595-1
7 Aug 2026, 17:10596-1
7 Aug 2026, 10:18597no change
7 Aug 2026, 09:05597first reading

Engagement

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

ERR · 30 days
6.01%
avg views ÷ 591 subscribers
Avg views / post
35.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 5 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 30 July 2026
Posts held5 (20 July 202630 July 2026)
Views total71
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 10:18 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

30 Jul 2026, 07:33 UTC30 viewsread 7 August 2026

小百萬最新聯絡方式 ⚡️ @TW_baiwan662 💬Gleezy:baiwan662 ❤️Line:baiwan167 最新每日班表 https://t.me/+StEJf7W0bj0yOTA9 一鍵加入台灣女生本照群組 https://t.me/addlist/_v71QkcwXrA0OTI1

Signed 【主】台灣外送茶-小百萬【保證秒回】

25 Jul 2026, 11:23 UTC41 viewsread 7 August 2026
Photo

【小百萬專欄】關於試車,你該知道的三大重點 嗨,我是小百萬。 這篇一次把三個客人最常問的問題講清楚,建議你花三分鐘看完,保證你以後外約更懂得怎麼玩。 👨‍👨‍👦‍👦何為試車?試車就一定是雷?錯! 很多人聽到「試車」兩個字就先入為主,覺得: 「是不是妹子有問題才需要給人家試?」 「試車就是去踩雷的吧?」 大錯特錯! 試車其實就是新鮮妹妹剛下海,還在熟悉服務流程的時候,找客人來做服務測試。因為小百萬是女生,沒辦法親自跟小姐試,所以才需要信得過的客人幫忙驗貨。 而且我跟你說實話——試車反而常常是客人賺到。 因為新妹剛出來,價格通常開得比較低,配合度也最高。很多時候你試完之後會發現: 「幹,這個品質遠遠超過這個價格!」 等妹子正式上線、價格調漲之後,你想用這個價錢約都約不到了。所以試車不是雷,試車是懂的人才知道的甜頭。 👨‍👨‍👦‍👦試車推薦?不是所有的人都適合試車 小百萬做生意講的是長久配合,不是為了賺一單就亂推。所以我直接跟你說

Signed 【主】台灣外送茶-小百萬【保證秒回】

22 Jul 2026, 10:24 UTC29 viewsread 7 August 2026
Video

小百萬🎖 TG @TW_baiwan662

Signed 【主】台灣外送茶-小百萬【保證秒回】

21 Jul 2026, 06:20 UTC56 viewsread 7 August 2026
Photo

最近整理了一批不錯的 都丟到我群組去了 每天都會更新 各地區的都有 本人 本照 有興趣來申請 🔗小百萬茶莊最新班表3.0 【點擊申請加入,當天會統一過審】 🩻 官方網站🦴 www.baiwan167.com ⚡️ @TW_baiwan662 💬Gleezy:baiwan662 ❤️Line:baiwan167

Signed 【主】台灣外送茶-小百萬【保證秒回】

20 Jul 2026, 13:45 UTC52 viewsread 7 August 2026
Photo

最近整理了一批不錯的 都丟到我群組去了 每天都會更新 各地區的都有 本人 本照 有興趣來申請 🔗小百萬茶莊最新班表3.0 【點擊申請加入,當天會統一過審】 🩻 官方網站🦴 www.baiwan167.com ⚡️ @TW_baiwan662 💬Gleezy:baiwan662 ❤️Line:baiwan167

Signed 【主】台灣外送茶-小百萬【保證秒回】

Showing the 5 most recent of 5 posts we hold for @line6k02. 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 — 779,365 of 1,583,249entries 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“小百萬外送茶🖤全台最真實客評” (@line6k02), 591 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/line6k02.

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.