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Channel

星巴克☕️雙北獨家定點

@she6868

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,167subscribers

+19 since we began measuring on 23 October 2026

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

Register entry

Telegram ID-1002760314274
TypeChannel
Username@she6868
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 October 2026
Last confirmed live2 November 2026
Measurements held5
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/she6868

Growth

4,1454,1674,15623 October 2026 — 4,148 subscribers24 October 2026 — 4,145 subscribers27 October 2026 — 4,154 subscribers30 October 2026 — 4,159 subscribers2 November 2026 — 4,167 subscribers23 October 20262 November 2026
5 measurements spanning 9 days, net +19. 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 4,142–4,170 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Nov 2026, 00:204,167+8
30 Oct 2026, 10:354,159+5
27 Oct 2026, 08:314,154+9
24 Oct 2026, 09:164,145-3
23 Oct 2026, 16:224,148first reading

Engagement

8 posts held, back to 17 October 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.8%
avg views ÷ 4,167 subscribers
Avg views / post
741
8 posts measured
Reaction rate
0.146%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 3 of 8 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 22 October 2026
Posts held8 (17 October 2026 – 22 October 2026)
Views total5,927
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 16:22 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.

What this channel posts

Video runtime
2s
Average length
2s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

3 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 3 of the 8 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 17 October 2026 to 22 October 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

22 Oct 2026, 15:59 UTC471 views2 reactionsread 23 October 2026
Video

😘😘😘😘😘😘 🤓你的相信,我的誠信🤓 🤓我的用心,你的放心🤓 ✨ 預約後有事請您"提前取消" 有事小星可以體諒 , 但請不要放鳥 !! 臨時取消兩次 . 將取消您預約的權利 😘按這裡一鍵訂閱支持小星 😏🙁 😤😒😘🙂🤓😘 ——————————— 😘😘😘😘 😍😍 奇巧 163 / 40 / 軟E 😘 口爆.大奶.纖瘦.兩龍一鳳 ⭐️預約50分方案免費情趣用品 ( 自備 ) 😍😍 宥真 163 / 45 / 軟F 😘 巨乳.口爆.自慰秀.魔鬼身材 😍😍 棉花 155 / 42 / 真C 年輕.小隻馬.顏值高.口爆 ⭐️預約50分方案免費自慰秀 😍😍 海倫 165 / 43 / 軟E 翹臀.纖瘦.巨乳.稚嫩妹.中文 😍😍 海月 165 / 48 / 軟E 口爆.無套.自慰秀.後門 ⭐️預約50分方案免費情趣用品 ( 自備 ) 😍😍 尋夢 168 / 49 / E 勻稱.巨乳.服務紅牌.高挑 😍😍 子寧 1…

❤2

21 Oct 2026, 05:13 UTC699 viewsread 23 October 2026
Photo

🧡 奇巧 163 / 40 / 軟E 💵 $ 2500 50分 / 1S 💵 $ 3000 60分 / 2S ⭐️只限今日 10/21一天 ⭐️名額VIP熟客5位,時段自選 ⭐️試車結束要分享評價50字心得(當日交)

20 Oct 2026, 16:12 UTC689 viewsread 23 October 2026
Photo

🧡 奇巧 (泰) 163 / 40 / 軟E 上班時間⏰:13:00-02:00 舌吻,無套吹,殘澡,舔蛋蛋 按摩,奶泡,臀推,胸推,漫遊 🎪50分免費自備情趣用品 ( 需交代 ) ✔️ 絲襪&高跟鞋+100 ✔️ 口爆+500 ✔️ 兩龍一鳳(收2人服務費) 🉑 3+1 ( 200分 3S ) 請提早預約 🉑 5+3 ( 400分 5S ) 請提早預約 💵 $ 2400 30分 / 1S 💵 $ 2900 50分 / 1S 💵 $ 3400 60分 / 2S

20 Oct 2026, 04:00 UTC769 viewsread 23 October 2026
Photo

🧡 氣泡 165 / 42 / F 💵 $ 3100 50分 / 1S 💵 $ 3600 60分 / 2S ⭐️只限今日 10/20一天 ⭐️名額VIP熟客5位,時段自選 ⭐️試車結束要分享評價50字心得(當日交)

19 Oct 2026, 16:04 UTC737 views1 reactionsread 23 October 2026
Photo

🧡 氣泡 (台) 165 / 42 / F 上班時間⏰ 13:00-22:00 親親,無套吹,殘澡,舔蛋蛋 按摩,胸推,漫遊 ✔️ 絲襪&高跟鞋+100 ✔️ 情趣用品+500 ( 自備 ) 💵 $ 3000 30分 / 1S 💵 $ 3500 50分 / 1S 💵 $ 4000 60分 / 2S

❤1

19 Oct 2026, 05:32 UTC843 views0 reactionsread 23 October 2026
Photo

🧡 唐琳 172 / 53 / E 💵 $ 3000 50分 / 1S 💵 $ 3500 60分 / 2S ⭐️只限今日 10/19一天 ⭐️名額VIP熟客5位,時段自選 ⭐️試車結束要分享評價50字心得(當日交)

18 Oct 2026, 16:00 UTC817 viewsread 23 October 2026
Photo

🧡 唐琳 (台) 172 / 53 / E 上班時間⏰ 13:00-22:00 舌吻,無套吹,殘澡,舔蛋蛋 按摩,胸推,漫遊,品鮑,69 ✔️ 絲襪&高跟鞋+100 ✔️ 口爆+500 ✔️ 毒龍+500 ✔️ 清槍+500 ✔️ 無套做+1000 ⭕️可以內射 💵 $ 2900 30分 / 1S 💵 $ 3400 50分 / 1S 💵 $ 3900 60分 / 2S

17 Oct 2026, 09:55 UTC902 viewsread 23 October 2026
Photo

🧡 想妮 160 / 48 / D 💵 $ 2900 50分 / 1S 💵 $ 3400 60分 / 2S ⭐️只限今日 10/17 一天 ⭐️名額VIP熟客5位,時段自選 ⭐️試車結束要分享評價50字心得(當日交)

Showing the 8 most recent of 8 posts we hold for @she6868. 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

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.

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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“星巴克☕️雙北獨家定點” (@she6868), 4,167 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/she6868.

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.