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Telegram profile photo for 妮妮獨家推薦 Gleezy搜尋bj4231

Channel

妮妮獨家推薦 Gleezy搜尋bj4231

@bj4223

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

231subscribers

+30 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-1003026571526
TypeChannel
Username@bj4223
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 held5
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/bj4223

Growth

2012312167 August 2026 — 201 subscribers7 August 2026 — 201 subscribers7 August 2026 — 203 subscribers14 August 2026 — 219 subscribers21 August 2026 — 231 subscribers7 August 202621 August 2026
5 measurements spanning 15 days, net +30. 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 197–236 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 19:24231+12
14 Aug 2026, 18:56219+16
7 Aug 2026, 19:15203+2
7 Aug 2026, 05:48201no change
7 Aug 2026, 05:17201first reading

Engagement

9 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 231 subscribers
Avg views / post
26.1
9 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
9
of 9 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 5 August 2026
Posts held9 (4 August 20265 August 2026)
Views total235
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 05:48 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

5 Aug 2026, 02:38 UTC25 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☺️ 🌟 #台北 #新北 #龜山 #林口 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

5 Aug 2026, 02:38 UTC35 viewsread 7 August 2026
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妮妮親自面試 ⏬ ❤️ #妩媚性感尤物 ❗️ 下海解放身體 #台中 💋 珊潔 166-D罩杯-46-24歲 房內很會搔首弄姿..誘人色氣肉體 不管玩什麼性愛體位都超讚👍👍 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

5 Aug 2026, 02:38 UTC36 viewsread 7 August 2026
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妮妮親自面試 ⏬ ⭐️ #童顏巨乳 #高中妹 #高雄 ⭐️ 彩豆 155-E罩杯-46kg-18歲 小小一隻 微肉型喔❗️介意勿點 乳控+蘿莉控必點✔️上個月剛成年‼️ 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

4 Aug 2026, 07:48 UTC20 viewsread 7 August 2026
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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

4 Aug 2026, 07:48 UTC22 viewsread 7 August 2026
Photo

平價素人學生妹 超好配合 👧玉兒 156/C+/45kg/21歲 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

4 Aug 2026, 07:48 UTC24 viewsread 7 August 2026
Photo

#小隻馬系列 👧敏兒 152.B+.42kg.19歲 很可口的多汁女孩💦 #超級敏感 常常沒多久就噴了🥰 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

4 Aug 2026, 07:48 UTC25 viewsread 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

4 Aug 2026, 07:48 UTC29 viewsread 7 August 2026
Photo

🌟 #台北 #新北 #龜山 #林口 巨乳+細腰😗很難不愛吧 心動 162.E.48.25歲(8000) +1000可全程無套 敢玩敢秀 一次性四節24000 內射到飽🥵 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

4 Aug 2026, 07:48 UTC19 viewsread 7 August 2026
Photo

特別推薦⏩ IG網美 1H💰30000 買三送一 竹竹 162-E-47-23歲 約會 📲 私訊妮妮 ⭐️ @bj32222 妮妮聊天室⭐️ https://gleezy.net/bj4231

Showing the 9 most recent of 9 posts we hold for @bj4223. 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 — 955,870 of 1,623,166entries 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 2 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.

“妮妮獨家推薦 Gleezy搜尋bj4231” (@bj4223), 231 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/bj4223.

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.