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Channel

台灣正妹群聚地Gleezy: tws966

@nms3223

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

399subscribers

+3 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002065822690
TypeChannel
Username@nms3223
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/nms3223

Growth

396399397.58 August 2026 — 396 subscribers8 August 2026 — 396 subscribers16 August 2026 — 399 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net +3. 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 396–399 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 16:55399+3
8 Aug 2026, 05:50396no change
8 Aug 2026, 05:00396first reading

Engagement

13 posts held, back to 27 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
8.48%
avg views ÷ 399 subscribers
Avg views / post
33.8
13 posts measured
Reaction rate
12.0%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 8 August 2026
Posts held13 (27 July 20268 August 2026)
Views total440
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:50 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

53 reactions across 13 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
53100.0%

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 13 of the 13 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 53reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 27 July 2026 to 8 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

8 Aug 2026, 04:24 UTC5 views3 reactionsread 8 August 2026
Forwarded from @nms3225Photo

#翹臀美腿小秘書 黑絲の誘惑 你忍得住嗎 小彤 165-25歲-D奶-48kg #價位8000 二節15000 4節24000 氣質溫柔嬌豔外型 ~ 皮膚白嫩~修長美腿👍勾魂的魅眼、靈活的香舌、誘人的小嘴~等著你來品嚐 情慾小秘書等著處理你床上的大小事 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669

3

8 Aug 2026, 04:22 UTC7 views3 reactionsread 8 August 2026
Forwarded from @nms3225Photo

伊伊 163.C.47.26歲 #價位7000 氣質花藝老師 她插花 你插她 身材很棒 獨特深喉秘技 給你超刺激爽感 小穴水多吸力超強 爽到捨不得拔出 各種姿勢都滿足你 射完還幫你舔乾淨 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669

3

8 Aug 2026, 01:59 UTC8 views3 reactionsread 8 August 2026
Forwarded from @nms332Photo

💌#臺北新北推薦 熟女 🔘 微微|164cm|H+奶|55kg|31歲|4500可約 成熟豐滿型 前凸後翹 經驗豐富 服務到位 老司機最愛 💦 學生 🔘 婷婷|155cm|B+奶|45kg|18歲|6000可約 清純學生妹 白皙皮膚 纖瘦可愛 第一次下海 青春可口 👧🎀 💌#臺中推薦 熟女 🔘 雅芳|162cm|E奶|52kg|32歲|3500可約 溫柔風韻型 皮膚白皙 身材勻稱 體貼入微 讓你有被照顧的滿足感 💕 學生 🔘 米米|158cm|C奶|46kg|19歲|5500可約 元氣美少女 笑容甜美 翹臀細腰 活力四射 陪你玩到天亮 💃🔥 💌#高雄臺南推薦 熟女 🔘 婉如|165cm|F奶|54kg|33歲|4000可約 火辣御姐型 前凸後翹 風情萬種 技術一流 讓你回味無窮 🍑🔥 學生 🔘 小柔|153cm|B奶|44kg|18歲|6000可約 鄰家女孩 溫柔內向 聲音輕柔 清純無瑕 害羞的樣子超可愛 🥺💕 💌#新竹推

3

7 Aug 2026, 03:31 UTC21 views4 reactionsread 8 August 2026
Forwarded from @nms326Photo

#臺北新人 #在校生 琳安 155.C+.18歲 價位12000+無套2K 口爆+1K 無套吹 舌吻 69 品鮑 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669

4

7 Aug 2026, 03:31 UTC22 views4 reactionsread 8 August 2026
Forwarded from @nms966Photo

#台北校人 #臺北大奶妹 櫻花 158.F+.21歲 價位 10000 無套+2K 口爆+1K 可奶砲 #年輕 小隻 大奶 真奶 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐TG聯絡➡️:nms325 ❤️🌐LINE聯絡➡️:tws966 ❤️⭐️Gleezy聯絡➡️:tws966 ❤️⭐️WeChat聯絡➡️:hao92255 💗【芳芳總群】💗【全台係列】 💗【學生系列】💗【熟女係列】 💗【雙北菜單】💗【高檔係列】 💗【台中菜單】💗【南部菜單】 💗【無套菜單】💗【包夜菜單】 全台妹總頻道➡️ www.smile966.com LINE連接:https://line.me/ti/p/GPgrgR65LF ⭐️快捷諮詢窗口APP下載 https://gleezy.net/9669

4

30 Jul 2026, 07:41 UTC72 views6 reactionsread 8 August 2026
Forwarded from @nms326Photo

✨今日推薦✨ 🇹🇼高挑氣質嫩妹初兼‼️ 身材姣好 真奶 皮膚白皙🔝 配合度高 加值項目私訊🔞 尺度:舌吻 69 舔鮑 無套吹 身材密碼:170/E/19Y/48kg ⭐️ 芳芳Gleezy: tws966 🌐私訊芳芳TG: @nms325 ⭐️芳芳Line: tws966 🤩 喝茶班表: @nms3223 🤩 學生妹區: @nms326 🤩高檔茶專區:@nms388 🤩 平價熟女茶:@tws967 🤩北部喝茶專區:@nms3225 🤩中部喝茶專區:@nms366 🤩高雄喝茶專區:@nms332 ⏰營業時間:下午12:00-03:00

6

29 Jul 2026, 18:06 UTC49 views5 reactionsread 8 August 2026
Forwarded from @nms3225Photo

#今日私房菜 寧寧 162cmC+奶20歲 #舞蹈學生妹 身材輕盈 容易抱起 很敏感 很會夾住 聲音超卡哇伊 ⭐️ 芳芳Gleezy: tws966 🌐私訊芳芳TG: @nms325 ⭐️芳芳Line: tws966 🤩 喝茶班表: @nms3223 🤩 學生妹區: @nms326 🤩高檔茶專區:@nms388 🤩 平價熟女茶:@tws967 🤩北部喝茶專區:@nms3225 🤩中部喝茶專區:@nms366 🤩高雄喝茶專區:@nms332 ⏰營業時間:下午13:00-04:00

5

29 Jul 2026, 18:06 UTC45 views5 reactionsread 8 August 2026
Forwarded from @nms326Photo

#台北膚白新人 夢情 158.B.19歲 價位 8000 服務 LG 69 口爆+2K ⭐️ 芳芳Gleezy: tws966 🌐私訊芳芳TG: @nms325 ⭐️芳芳Line: tws966 🤩 喝茶班表: @nms3223 🤩 學生妹區: @nms326 🤩高檔茶專區:@nms388 🤩 平價熟女茶:@tws967 🤩北部喝茶專區:@nms3225 🤩中部喝茶專區:@nms366 🤩高雄喝茶專區:@nms332 ⏰營業時間:下午12:00-03:00

5

29 Jul 2026, 18:06 UTC45 views4 reactionsread 8 August 2026
Forwarded from @nms388Photo

台北校園正妹清婉 158-B-45-19歲 清純白月光 女大生 初戀感拉滿的月光系少女 https://www.smile966.com/forum.php?mod=viewthread&tid=3015

4

29 Jul 2026, 18:06 UTC42 views4 reactionsread 8 August 2026
Forwarded from @nms388Photo

台北高檔茶 20K彤薇 168-D-46-21歲 #校花 高顏值清秀美女 精緻五官、白嫩皮膚、氣 https://www.smile966.com/forum.php?mod=viewthread&tid=3020 (出處: 芳芳外送茶專經營台灣

4

Showing the 12 most recent of 13 posts we hold for @nms3223. 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 — 214,069 of 1,584,733entries 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.

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

Named by 9 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“台灣正妹群聚地Gleezy: tws966” (@nms3223), 399 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/nms3223.

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.