新應征到的超色寫真模特 #本照 維娜:資訊163-D+罩杯-47kg-25歲 #目前試車價中~ 🫶誰來挑戰色欲正妹? 服務:舌吻/共浴/口爆/無套口/愛愛/姿勢多樣化 ⭐gleezy預約:Xiaon52 🌐預約點擊: @xxn529 🌐小暖の賴:y9562 北部班表 中部班表 南部班表

Channel
台灣🔞 收藏區
@xx3iao
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,538subscribers
+1,633 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003869078454 |
|---|---|
| Type | Channel |
| Username | @xx3iao |
| Description | 每日更新素人檔案! 台灣本土喝🍵點擊:https://t.me/vv89ip |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/xx3iao |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 04:38 | 13,538 | +47 |
| 26 Aug 2026, 01:54 | 13,491 | +29 |
| 25 Aug 2026, 00:33 | 13,462 | +45 |
| 23 Aug 2026, 14:36 | 13,417 | +111 |
| 22 Aug 2026, 01:46 | 13,306 | +244 |
| 20 Aug 2026, 18:07 | 13,062 | +134 |
| 19 Aug 2026, 16:42 | 12,928 | +91 |
| 18 Aug 2026, 20:07 | 12,837 | +99 |
| 17 Aug 2026, 17:38 | 12,738 | +74 |
| 16 Aug 2026, 16:22 | 12,664 | +12 |
| 15 Aug 2026, 03:12 | 12,652 | +50 |
| 13 Aug 2026, 18:14 | 12,602 | +76 |
| 12 Aug 2026, 19:24 | 12,526 | +140 |
| 11 Aug 2026, 15:54 | 12,386 | +68 |
| 10 Aug 2026, 14:58 | 12,318 | +145 |
| 9 Aug 2026, 15:11 | 12,173 | +169 |
| 8 Aug 2026, 11:15 | 12,004 | +99 |
| 7 Aug 2026, 14:45 | 11,905 | first reading |
Engagement
21 posts held, back to 19 July 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 42 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 31.9%
- avg views ÷ 13,538 subscribers
- Avg views / post
- 4,320
- 20 posts measured
- Reaction rate
- 0.087%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 21 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 15 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 August 2026 |
|---|---|
| Posts held | 21 (19 July 2026 – 26 August 2026) |
| Views total | 86,350 |
| Reactions total | 65 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 04:59 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
- Photos
- 94
- Videos
- 39
- Links
- 24
Lifetime counters from Telegram’s own channel header, read 27 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 3m 26s
- Average length
- 52s
Measured directly from 4 videos 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
87 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 95.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 83 | 95.4% | |
| 🎃 | 1 | 1.15% | |
| 🤔 | 1 | 1.15% | |
| 🤨 | 1 | 1.15% | |
| 🥰 | 1 | 1.15% |
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 16 of the 21 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 87reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 19 July 2026 to 26 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
TWMM網站版 海量稀有珍藏資源🥰 TW流出首選 老 品牌誠信經營🥰 以下為升級VIP會員套餐😀 一、單月會員1200💵 二、三個月會員3000💵 三、半年會員6000💵 四、一年會員7500 💵 初次加入建議購買三個月優惠 三個月看到飽😍 👀超過1萬部私藏流出等你來解鎖 🔴絕對物超所值 誠信經營🔴 每日更新版主認證過好看隱藏版流出 升級會員私訊 @twmmmm1234 📣番號:TWMM5865 小編評語👀📣 ‼️小編評語‼️ 🆕😀IG人氣G奶微肉網美早期成名😍 前靠黃播平台騷浪演出狠撈禮物黑歷史 網上形象清純甜美的微肉小坦克沒想到 曾經也是黃播平台的熱門主播為了 醫美整形豁出去挑戰自己尺度上限😙 G奶車頭燈配白虎一線鮑難怪能讓粉絲 禮物失手抖內抖不停😉 加入TWMM VIP立即解鎖更多網美第一手黑歷史資源😀 升級VIP窗口 ✈️ @twmmmm1234 可用付款方式🔓 👉防走失TG頻道 每天更新最新外流影片…
❤3
TWMM網站版 海量稀有珍藏資源🥰 TW流出首選 老 品牌誠信經營🥰 以下為升級VIP會員套餐😀 一、單月會員1200💵 二、三個月會員3000💵 三、半年會員6000💵 四、一年會員7500 💵 初次加入建議購買三個月優惠 三個月看到飽😍 👀超過1萬部私藏流出等你來解鎖 🔴絕對物超所值 誠信經營🔴 每日更新版主認證過好看隱藏版流出 升級會員私訊 @twmmmm1234 📣番號:TWMM5860 小編評語👀📣 ‼️小編評語‼️ 🆕😀IG人氣5.4萬粉歐美系美尻網美 欲求不滿居酒慰慰自錄誘惑炮友欠x黑歷史流出😘 混血小網美有著傲人前凸後翹魔鬼身材😍 特愛大屌時不時就在ig或是交友軟體約跑 這次甚至把自己私拍超多部騷浪影片分享給砲友 殊不知對方是個欠債89男收到私密照後立馬被拿去變現😊 不得不說這身材任哪個老司機看到 都會精蟲衝腦吧😵💫 加入TWMM VIP立即解鎖更多網美第一手流出資源⚡️ 升級VIP窗口 ✈️…
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交流區審核中! https://t.me/+dVN33lIYYM9mYmE1
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❤4
偉士牌辣台妹😍#台妹 #使勁搖
❤1
#信義趙又廷 #推特 #xinyimark
❤5🤔1
IG系列更新中【訂閱】 https://t.me/ig862 加密檔案儲存💾 https://t.me/xx56389
#_cnn
❤17
🥰TWMM獨家原創稀有大物網美🆕 -單片解鎖📌 番號:TWMM-S01 檔名:世新知名二代千金夜場微醺 欲求不滿約跑原創 販售價格:台幣6000 加密貨幣:170u 購買資格:TWMM秘密花園網站會員 半年以上會員(含半年) 限量販售人數:30 (集資滿30位即發貨/停售❗️),超過20天未達標全額退款 購買洽詢: @twmmmm1234 小編評語💡 嘻哈饒舌風 精緻E奶女大生 😍 一出生就是人生勝利組二代千金 從小就過著別人羨慕的生活 也是 父母溺愛的小孩 因而嬌生慣養 不知名間疾苦沈迷夜場 某次 喝醉又遇到自己天菜男神竟然暈船 認識第一晚直接上演一夜情 傳教士、後入、口交樣樣來😀 露臉女上被抱起來放在浴室猛操 嘴上一直說不要身體卻一直動 最後還被男主用龜頭挑逗到噴淫水🥰 超推薦收藏大奶神作,老司機必備❗️ ⚠️檔案內容:10v (9v皆1分鐘內1v含露臉69) 10v完整版 是否露臉:是,含刺青可辨認真實度。 ⚠…
❤3
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Showing the 12 most recent of 21 posts we hold for @xx3iao. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“台灣🔞 收藏區” (@xx3iao), 13,538 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/xx3iao.
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.