Channel
@hdthfthsuigs
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
234subscribers
+88 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003455283846 |
|---|---|
| Type | Channel |
| Username | @hdthfthsuigs |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/hdthfthsuigs |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 14:23 | 234 | -13 |
| 23 Aug 2026, 09:36 | 247 | -15 |
| 15 Aug 2026, 02:53 | 262 | +115 |
| 8 Aug 2026, 20:45 | 147 | no change |
| 8 Aug 2026, 07:50 | 147 | +1 |
| 7 Aug 2026, 19:04 | 146 | first reading |
9 posts held, back to 20 June 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 7 August 2026 |
|---|---|
| Posts held | 9 (20 June 2026 – 7 August 2026) |
| Views total | 248 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 20:45 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.
Measured directly from 1 video 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.
#琳琳 #台北 #學生 #正妹 🗝158/D/22/42kg 擁有修長美腿的學生妹妹兼職 習慣穿著黑色絲襪搭配職業套裝 身材高挑勻稱 曲線分明 長腿黑絲 性感卻不俗氣偶爾微微一笑就能讓人沉醉 既知性又充滿誘惑的職場韻味美人 ✅接吻 ✅品鮑 ✅ 69 ✅無套吹 🈚️煙味 🈚️刺青 🈚️刺青 🚫sm🚫暴力🚫血腥🚫肛交 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#婷婷 #雙北 #不跑淡水 🗝163/C/21/43 外貿卡哇伊，很活潑健談，嫩鮑水很多 很會撒嬌，小穴緊實又有彈性 水滴奶控的最愛，皮膚白皙讓你不得不愛 價位不高一位很難讓人拒絕的小蘿莉！ ✅接吻 ✅品鮑 ✅ 69 ✅無套吹 🈚️煙味 🈚️刺青 🈶小刺青 🚫sm🚫暴力🚫血腥🚫肛交 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#銘銘 #台北 #學生 #正妹 🗝167/19/D/55 旺仔的老粉們應該都知道 旺仔所有的妹妹中 她是最喜歡足交舔陰的 抽象鼻祖 也夠騷 在床上的時候會一遍幫口 一遍把手伸到下面玩到噴水 最誇張的一次 一天下來榨乾了旺仔三個客人 ✅ 接吻✅ 品鮑✅ 69✅無套做✅無套吹 🈚️煙味🈚️刺青 🚫sm🚫暴力🚫血腥🚫肛交 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#潤兒 #台北 #短髮 #氣質 #正妹 🔔166/25/45/D+ 🎀氣質系 #藥劑師 女孩 白皙肌膚 甜美長相 精緻五官 高挑身材 喜歡打扮、注重細節 ✅ 接吻✅ 品鮑✅ 69 🈚️煙味🈚️刺青 客評1 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#台北 #薇薇 #學生兼職 #試車價 🔔160/20/45/C 胸型很好看 大腿很白 清純天花板妥妥初戀顔情緒價值拉滿 🈚️刺青🈚️無煙味 ✅無套做✅無套吹✅LG 📞旺仔官方聯絡方式 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#雙北 #特惠 超值優惠來囉！🎉 原價12k的學生妹妹 現在緊急優惠價 只要6️⃣k就能享受到‼️ 158的小隻馬蘿莉😋 搭配傲人的身材曲綫 🉑接吻🉑品鮑🉑69 +1k還能解鎖無套服務✅ 完全不用煩惱玩不爽的問題！ 特別適合一夜七次郎的你~ 還在苦惱自己的預算約不到優質的妹妹？ 現在來找旺仔，分分鐘幫你安排上！ 脣與齒親密結合，照顧你的特殊敏感點～💕 而且這個妹妹之前還跟旺仔配合過 包你滿意 心動不如馬上行動！✨ 名額只有一個 旺仔官方聯繫方式👇 📱@twwz006
#芷右 168/D/21 📍 #台北 #新北 #可預約 🦋 舞蹈系出身，身材管理嚴格到變態 每天不是在上課就是在運動 腿長的跟開外掛一樣🩷 腰細到旺仔都懷疑她到底有沒有好好吃飯 ✅LG ✅按摩 ✅輕功 ✅素股 ✅口爆 ✅無套吹 📞旺仔官方聯絡方式 👉：@twwz006 ⭐：twwz006 🌐：twwz006
#葉子 165/F/48/26 這對嬌乳大到不科學，人妻非常有料 不光身材很讚，連床技都是BOSS級別 奶炮超推、射顏、射奶還是射嘴巴裡 都能讓哥哥自由發揮，沒有她不玩的棒子 只有被她累壞的男人 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
#露西 166/D/48/22 腿控必推正妹 平時也接外拍 只有空檔時間才出來報班 趁著她給自己休長假出來 有腿控哥哥要來把玩美腿 用最厲害的姿勢讓她飛高高嗎 📱@twwz006 ⭐twwz006 📱twwz006 #台灣外送茶 #臺灣旅遊 #出差找小姐 #蘿莉 #學生妹 #旅館 #口碑茶 #無套內射 #巨乳 #熟女 #學生 #旺仔外送茶 #台北 #雙北 #新北
Showing the 9 most recent of 9 posts we hold for @hdthfthsuigs. 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 — 73,005 of 1,627,068entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 5 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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“旺仔の北部小屋🍓【台北、新北、新竹】” (@hdthfthsuigs), 234 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/hdthfthsuigs.
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.