Channel
@tw68697
On this record: Growth · Engagement · Posts · Citations · Cite this entry
114subscribers
+6 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003985892430 |
|---|---|
| Type | Channel |
| Username | @tw68697 |
| Created | Between 1 April 2026 and 7 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/tw68697 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 10:14 | 114 | +1 |
| 16 Aug 2026, 03:58 | 113 | +5 |
| 9 Aug 2026, 08:01 | 108 | no change |
| 8 Aug 2026, 05:36 | 108 | first reading |
10 posts held, back to 7 August 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 10 (7 August 2026 – 9 August 2026) |
| Views total | 153 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 08:01 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.
#台北松山區 江江 157cm 44kg C+ 20歲 學生妹 清純 可愛 甜美 服務態度很好 貼心不趕時間 還是一個很好的談心對象噢 火車便當 配合度高 身體敏感 粉嫩水多 口交 愛愛 洗澡 按摩 親親 LG 69 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園…
#台北內湖區#學生妹 嘟嘟 156cm/43kg/D奶19歲 活潑主動型 熱情積極 服務好配合 小女孩 全程戴套 短期兼職中 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路 #東區忠孝敦化商圈
#新北永和區 ⭐️美娟：164・F・52・28歲 性感魔女來了！！！ 豐滿F杯的酥軟觸感 讓人一看就想入非非 她最拿手的是她的溫柔技巧 會用最嫵媚的姿態帶給你最放鬆的激情體驗 來感受這性感熟女的火辣吧 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #…
#新北泰山區 ⭐️思悅：167・D+・48・26歲 風情萬種的騷貨 身材超誘惑人的床上超有女友FU 不會趕時間 白嫩Q軟乳水嫩叫聲可以足夠你享受快 🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路 #東區忠孝敦化商圈
#台北士林區 ⭐️夏美：160・C+・46・23歲 可甜可鹹超騷尤物！#高配合 口爆奶炮玩足交 挑戰高難度就來找她！ 很耐玩騷起來要命！腿軟概不負 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路
#台北內湖區 ⭐️暖暖：158・D・46・22歲 身材纖細小隻 氣質好 皮膚白皙觸感好 #外表清純也有饑渴的一面 服務的部分她沒有禁忌 超努力賺錢 什麼都能玩 配合好 今天想找一個能互相滿足的哥哥 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖…
#新北三重區 小波 165cm.Dcup.25歲.48kg 美腿水蛇腰兼職外拍麻豆 會邊聊邊互動 讓你不緊張 全身都可以慢慢來不急不趕 尺度接收程度大 溫柔會挑逗 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈
#新北板橋區 兔兔 155cm.39kg.Ccup.19歲 可愛小隻蘿莉妹 甜甜娃娃音撒起嬌來 真是酥酥麻麻敏感體質的她 親親時就忍不住發出嬌喘聲音 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路
#新北汐止區 晨晨 162 46 C+ 23歲 獨家報班的新妹妹 親自面試的哦 身材好 乾淨衛生 條件好 素質優 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路 #東區忠孝敦化商圈
#雙北推薦 小蘭 153cm/47kg/D奶/20歲 爆乳白虎水超多 床技很不錯 前凸後翹 小心太緊被秒殺 奶泡 口爆 殘廢澡 玩具 變裝陪你搖 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 ❤️🌐 @tw6869 ❤️🌐zie102 ❤️⭐taiwan68 💗【水水總群】💗 【巨乳系列】 💗【學生系列】💗【熟女系列】 💗【雙北菜單】💗【新竹菜單】 💗【台中菜單】💗 【南部菜單】 熟女總頻道➡️https://t.me/+0OBJtjJ0_Ms5MmU9 ⭐快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐群組： https://portaly.cc/tw68691 ❤️🌐鏈接：https://linkgoods.com/tw68691 #新北外約 #新北外送茶 #新北叫小姐 #新北全套服務 #台北喝茶 #南港軟體園區 #信義區商圈 #內湖科技園區 #台北101 #信義商圈 #林森北路 #
Showing the 10 most recent of 10 posts we hold for @tw68697. 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 — 97,211 of 1,625,954entries 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.
Named by 7 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.
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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“水水台北/新北喝茶小棧” (@tw68697), 114 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/tw68697.
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.