西施🔠教你如何[防詐騙] 那些冒充個人進行援交詐騙的方法持續更新 💩詐騙方法有很多 為了防止辛苦賺的錢白白打水漂 請記住以下三點: 1.如3K/1H/1S 5K包夜 這種通常都是抓茶友貪小便宜的心態 用非常低廉的價位來吸引上鈎 2.哄騙先交付保證金才可以約 基本上保證金轉過去 錢就騙到手了 人當然就不會出現 不過慶幸的是你都沒有看到人 因為很可能看到的不是妹 是幾個渾身刺青體格破百的彪形大漢 3. 買點數 要先去7-11或是其他的便利商店買預付卡 充點數2k-30k不等 如果精明的你發現事情不對勁 沒有上當 而對方又看你并沒有充值繳費 就會打電話過來恐嚇你 講話口氣跩的跟鬼一樣 這個時候你不要慌 只需把手機關機一小時 懶懶的睡上一覺 就什麽事情都沒有 👍正確的喝茶消費方式:🐾 👍1.見面滿意現金消費 👍2.不轉賬不匯款 👍3.沒有看到妹之前不產生任何的費用 👍4.見面不喜歡可退可換 🔴最重要的一點是:選擇正規…

Channel
🔞西施茶坊 🇹🇼
@bbcw44
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
519subscribers
+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 | -1002782157999 |
|---|---|
| Type | Channel |
| Username | @bbcw44 |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/bbcw44 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:07 | 519 | +2 |
| 8 Aug 2026, 23:13 | 517 | +1 |
| 8 Aug 2026, 13:31 | 516 | first reading |
Engagement
12 posts held, back to 6 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 · 30 days
- 4.83%
- avg views ÷ 519 subscribers
- Avg views / post
- 25.1
- 12 posts measured
- Reaction rate
- 2.94%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 12 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 6 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 12 (6 August 2026 – 8 August 2026) |
| Views total | 301 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 13:31 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
6 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🌭 | 6 | 100.0% |
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 6 of the 12 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 6 August 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
1.#外約流程 1️.告知我您所在的區域 (推薦跟您同地區的妹妹。) 2.告知我您的預算以及喜歡什麼類型的妹妹 (直接推薦妹妹,有照或無照資訊可自行選擇。) 3.預約妹妹.確定時間及確定旅館 (節省時間,同時也避免您臨時,開到不安全的旅館。) 4.開好房后告訴我房號 再確認一次旅館地址 (方便請妹妹過來服務,避免跑錯地方,讓您等太久。) 5.妹妹您看過之后滿意再現金消費 (不喜歡免費換除了要車馬的地區要+車馬 ,其他地區不收取任何費用,也不強迫消費。) 6.給妹服務費用,開始服務(一律現金) (不刷卡,不匯款,不買點數)
1️⃣『#高鐵甜心服務員制服控』 雅晴 162/47/25歲/C奶🚩 制服修身勻稱,動作俐落卻笑容甜美,讓人忍不住多看幾眼。 18000一節 買一送一😮 2️⃣『#夜店舞池熱舞女神』 可欣 164/49/23歲/E奶🚩 舞感超強,身材曲線隨節奏擺動,燈光下特別迷人。 30000一節 第二節半價 買兩節送兩節🔝 3️⃣『#花店溫柔氣質小姊姊』 宛妮 158/46/27歲/C奶🚩 穿圍裙插花時的專注神情特別美,溫柔又帶香氣。 8000一節 15000兩節😱 4️⃣『#餐酒館小隻馬甜心Bartender』 薇薇 155/44/22歲/D奶🚩 小隻馬卻有驚人比例,調酒時眼神勾人,喝一杯就暈。 18000一節 四節36000💥 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://…
🍭地區:#中部推薦 🍭密碼:蓓蓓 166.D.46.23歲 酒店的陪酒小姐來短兼啦 藏在衣服裡的是QQ彈彈的D奶 該有料的地方剛剛好 不該有肉的地方也沒有一絲贅肉~ 陪喝兩杯就暈了😂 但酒後服務超到位 保證哥哥喝到ㄎㄧㄤ掉! 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🍭地區:#南部推薦 🍭密碼:拉拉 158cm-C-19歲 #清純靚妹長發甜美女孩,鄰家妹妹feel 一級鮑魚,緊如處女,鮮味十足 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
📣📣📣 #新手入門 很多新人會好奇怎麼約 #約會流程如下↓↓↓↓↓ ✅①告知西施您所在區域 ✅②告知西施您喜好的類型 (小隻可愛高挑大奶無套帶套...)以及禁忌價位 ✅③西施會直接按照您喜歡的類型推薦妹妹 有照妹妹或無照妹妹的資訊 ✅④跟西施這邊確定時間 地點 價位 旅館 第一次消費留下一個聯絡方式( #電話 #賴ID) ✅⑤在約定好的時間內開好房間告訴我房號 然後等待妹妹來找您 通常妹妹到達時間在20-25分左右(不出任何意外的情況下) PS:如果著急的客人可以提前跟我預約 我會叫妹妹先出發 這樣避免浪費太多時間唷~ 各位麻吉大大有需要可以找我 如果您的朋友需要也可以找我 外貌是基本的 服務是頂級的 錢本來就該花在對的地方 享受到您應該得到的享受 內行人不問外行話 不約妹不可怕 耍人晃點才可怕 聊天約咩我都奉陪 希望我們彼此之間多一點真誠 謝謝 我性格比較直接 誠信是我的本性 有做的不好也可以告訴我 畢竟人都不…
🍭地區:#高雄推薦 🍭密碼:羅拉 155/D/45/18歲 小蘿莉皮膚白皙 可爱温柔超级嗲 天然无整容 水多 超紧 筷子腿 腿长直 第一次下海兼職超級害羞 需要有經驗的哥哥調教~ 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
🍭地區:#新竹推薦 🍭密碼:小麗 163cm D 48 22歲 可愛型妹妹 喜歡自拍分享 很愛玩 為了找尋刺激 能滿足她的哥哥出現 水很多 光摸著小豆豆 裡面就會溢出滿滿的淫水 容易潮吹 會噴的全身都是妹妹的愛液呦 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
🍭地區:#雙北推薦 🍭密碼:小惠 165.47.C.27歲 #單親媽媽求幫助~ #年輕氣質 身材性感 服務主動 因為自己一個人帶小孩 經濟壓力大 所以選擇下海兼職 #現在有哥哥願意幫幫小惠的嗎🙏🙏🙏 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
🍭地區:#台中推薦 🍭密碼:可可 160.46.D.23歲 超性感的身材 高級的五官 很純 床上很騷很騷 很主動咩 小穴會流水 超級風騷的小妹妹又有誰能挑戰她的性慾呢 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
🍭地區:#台南推薦 🍭密碼:萱萱 155.C.42.20歲 在校學生 家境困難 下海兼職賺錢貼補家用 乖巧懂事 成績名列前茅 很聽話的女孩 愛愛經驗少 但是你想要玩的都可以跟萱萱說喔 萱萱都會願意配合 希望葛格們可以幫幫她 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
我是阿柔 白天是健身教練 結婚三年 身边的朋友都羡慕我嫁给一个在传产当主管的安分老公 但只有我自己知道 我的婚姻生活有多么寂寞 老公每天下班都喊累 应酬 老公一個月碰不到我一次 但我體能好 代謝快 晚上身體的渴望壓不住 想了很久 決定出來兼職 找一個懂疼人的哥哥釋放壓力 也順便賺點零用錢。 高雄可約,請提前預約 📱📱 小洋TG: @yaoyu5 📱🌐小洋LINE: cw44 📱⭐小洋Gleezy :TING66 📱小洋日常:https://t.me/yycw44 重點 ⏩https://t.me/addlist/bffJqw37W0k0MzM1
🌭1
Showing the 12 most recent of 12 posts we hold for @bbcw44. 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 — 54,818 of 1,585,237entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“🔞西施茶坊 🇹🇼” (@bbcw44), 519 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/bbcw44.
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.