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Channel

☀️台灣優質外送茶賴bj3211(看照約會本土正妹

@nbj322

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

546subscribers

-4 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-1001626527151
TypeChannel
Username@nbj322
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 live24 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/nbj322

Growth

545550547.57 August 2026 — 550 subscribers7 August 2026 — 550 subscribers16 August 2026 — 545 subscribers24 August 2026 — 546 subscribers5467 August 202624 August 2026
4 measurements spanning 17 days, net -4. 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 544–551 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 01:54546+1
16 Aug 2026, 08:36545-5
7 Aug 2026, 05:17550no change
7 Aug 2026, 05:03550first reading

Engagement

11 posts held, back to 28 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
3.21%
avg views ÷ 546 subscribers
Avg views / post
17.5
6 posts measured
Reaction rate
5.00%
reactions ÷ views · ER floor
Posts in window
6
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. It is computed over the 1 of 6 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 6 August 2026
Posts held11 (28 July 20266 August 2026)
Views total105
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 05:17 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 11 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 11 most recent posts we hold, published 28 July 2026 to 6 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

6 Aug 2026, 18:08 UTC10 viewsread 7 August 2026
Forwarded from @bj4433Photo

✅ 文慧 162cm 48kg Eup 30歲 氣質優雅的 #美術老師 五官漂亮 皮膚白 聲音輕柔 聽得人酥麻 她懂得做愛的樂趣 床上更懂如何挑逗如何添情調 營造滿滿的浪漫氣氛 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

5 Aug 2026, 02:41 UTC20 viewsread 7 August 2026
Photo

妮妮親自面試 ⏬ ❤️ #短兼現役空姐 ❤️ 維琦 169-D罩杯-47kg-25歲 是那種會想回頭多看幾眼的正妹🥰 有顏又有服務 溫柔大方個性 滿足你想要的花樣☺️ 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

4 Aug 2026, 09:22 UTC16 viewsread 7 August 2026
Photo

#無套特推 #輕熟巨乳妹 ❤️曼曼 164cm-26歲-F奶-48kg 深藏不露的狂野妖姬,火辣身材配上霸氣F奶,榨精從不腿軟的床上Boss😈尺度超大、什麼都敢玩,哥哥們上車囉🏎 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

3 Aug 2026, 20:48 UTC15 viewsread 7 August 2026
Forwarded from @bj4433Photo

長腿女神!前凸後翹!顏值也在線! 目前不二價: 7000帶走!!! 超級優惠的價位唷 ❤️ 安博 171-25歲-大D-48kg 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

3 Aug 2026, 13:04 UTC20 views1 reactionsread 7 August 2026
Photo

全程無套 服務不限制 口爆 浴室愛愛 超級到位 蒂蒂 160.B.32歲.47kg #最低價 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

1

31 Jul 2026, 15:12 UTC24 viewsread 7 August 2026
Forwarded from @bj4433Photo

❤️ 吱吱 148-18歲-B奶-38kg 小隻馬學妹 迷你身高極品幼齒 性格可愛俏皮 年輕好學😈略帶青澀 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

29 Jul 2026, 13:55 UTC33 viewsread 7 August 2026
Photo

清秀大奶 #平價學生妹 👧虎兒 162/E奶/48kg/21歲 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

29 Jul 2026, 03:26 UTC34 viewsread 7 August 2026
Forwarded from @Lalisa0119Photo

#暑假學生妹 #小夢推薦名單 目前 #試車價 超值 喜歡密 @tw7099

28 Jul 2026, 12:48 UTC31 viewsread 7 August 2026

妮妮獨家推薦🔗 https://t.me/bj4223/183 學生、環保、技術茶、高顏值系列··· ⏬⏬⏬ 可以根據喜好加入🔗 https://t.me/c/2957144362/219 ⏬⏬⏬ 台妹外送🔗北中南群組 https://t.me/c/2957144362/218 ⏬⏬⏬ 麻煩大家都去下載新軟體【Gleezy】 註冊時邀請碼填:bj4231 自動加入妮妮好友 妮妮的聊天室:https://gleezy.net/bj4231 台灣約會群組:https://c.gleezy.top/ss3613

28 Jul 2026, 12:48 UTC19 viewsread 7 August 2026
Photo

#高雄 糖糖 155-20歲-D奶-44kg 甜美軟萌童顏巨乳 活潑可愛曲線很美 胸型漂亮可吸可舔 超好配合優質女友 約會 📲 私訊🌐 @bj32222 🌐bj3211 Gleezy北中南群組⭐️ https://c.gleezy.top/ss3613

28 Jul 2026, 12:46 UTC16 viewsread 7 August 2026
Forwarded from @bj431Photo

#技術茶 #起跳價 小寶:163/46/C/32歲 黑絲美腿 身材勻稱 足交很厲害喲 約會 📲 私訊🌐 @bj32222 🌐bj3211 Gleezy北中南群組⭐️ https://c.gleezy.top/ss3613

Showing the 11 most recent of 11 posts we hold for @nbj322. 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.

Forward network

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

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

“☀️台灣優質外送茶賴bj3211(看照約會本土正妹” (@nbj322), 546 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/nbj322.

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.