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Channel

全台正妹外約定點資源

@bv2282

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

3,410subscribers

+5 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-1001547608150
TypeChannel
Username@bv2282
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live22 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/bv2282

Growth

3,4053,4113,4087 August 2026 — 3,405 subscribers7 August 2026 — 3,405 subscribers10 August 2026 — 3,408 subscribers13 August 2026 — 3,406 subscribers16 August 2026 — 3,411 subscribers19 August 2026 — 3,405 subscribers22 August 2026 — 3,410 subscribers3,4107 August 202622 August 2026
7 measurements spanning 15 days, net +5. 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 3,404–3,412 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 13:563,410+5
19 Aug 2026, 11:253,405-6
16 Aug 2026, 14:483,411+5
13 Aug 2026, 05:173,406-2
10 Aug 2026, 13:353,408+3
7 Aug 2026, 10:463,405no change
7 Aug 2026, 09:463,405first reading

Engagement

10 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.38%
avg views ÷ 3,410 subscribers
Avg views / post
47.2
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 10 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 held10 (5 August 20267 August 2026)
Views total472
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:24 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.

Recent posts

7 Aug 2026, 09:00 UTC46 viewsread 7 August 2026
Photo

白白 165/45/D/23歲 #清純尤物 身材勻稱充滿青春活力 眼神清澈中帶點淘氣 床上卻意外大膽 喜歡慢慢探索 享受每一刻的親密 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:59 UTC43 viewsread 7 August 2026
Photo

米奇 162/46/D/32歲 身材火辣服務也超厲害的 熱情主動就算了還很會玩 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:58 UTC36 viewsread 7 August 2026
Photo

蓉蓉 164/47/F/22歲 無辜臉蛋女友感爆棚 #身材前凸後翹的 顔值好看 水滴奶的胸部 身材火爆讓你流鼻血 非常騷唷 #嫵媚動人 小心下手 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:57 UTC38 viewsread 7 August 2026
Photo

玉玉 166/49/E/21歲 身材前凸後翹 會潮吹喔 一般小鮮肉都不能滿足她 適合多節玩 可包夜配合 體力持久 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:56 UTC32 viewsread 7 August 2026
Photo

小安 159cmC奶19歲 #第一次下海 清純純欲女友系 保證床上最佳小情人fu ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:55 UTC34 viewsread 7 August 2026
Photo

藍心 162/46/E/30歲 #辦公室OL兼職 身材前凸後翹 全程無套 可以口爆 顔射 床上是名副其實的浪蕩女人 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 08:53 UTC33 viewsread 7 August 2026
Photo

薇薇 163/45/D/25歲 漂亮秘書姐姐 外貌漂亮氣質好 #上搖厲害 口技讚 耐乾耐操 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

7 Aug 2026, 06:39 UTC49 viewsread 7 August 2026
Photo

今天主打慵懶風 穿睡衣上班的少見把 😅

5 Aug 2026, 07:58 UTC106 viewsread 7 August 2026
Photo

#台北可約 翹翹 164cmF奶20歲 #新人開課 現在可約 ✅私聊 TG: @PP8677 ✅Gleezy: YU282 🥳新手導航:@wink557 🥳花花樹洞:@wink773 🥳每日班表:@bv2282 🚘老司機私藏 :https://c.gleezy.top/ons669 🎆Gleezy班表:https://p.gleezy.top/xL5kK4BZ #台北 #台中 #高雄 #新竹 #台南 #外送茶

Showing the 10 most recent of 10 posts we hold for @bv2282. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“全台正妹外約定點資源” (@bv2282), 3,410 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/bv2282.

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.