Telegram RegisterThe public register of Telegram
Telegram profile photo for 妃妃☔️約會須知 & 防雷指南☔️

Channel

妃妃☔️約會須知 & 防雷指南☔️

@ss54777

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

476subscribers

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

Register entry

Telegram ID-1002730952984
TypeChannel
Username@ss54777
Description第一次外約沒頭緒?擔心踩雷被騙? 這篇就是你要收藏的《新手完全指南》。 從 正確外約流程、防詐知識、實戰小技巧 到 妹妹互動攻略,每一項都是實戰經驗整理,讓你少走彎路、安心又享受。 💥 不想被A送B?不想妹子服務敷衍? 這裡直接告訴你怎麼分辨真假,怎麼約得舒服、玩得放心。 ✅ 新手第一次也能順利體驗 ✅ 老司機也能補充進階知識 ✅ 不定期更新,內容精準實用 📌想玩得穩、挑得準、約得值,從這篇開始就對了。 先看懂、再上車,外約才會好玩不踩雷!
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 September 2026
Last confirmed live28 September 2026
Measurements held1
On Telegramt.me/ss54777

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Sept 2026, 17:22476first reading

Engagement

16 posts held, back to 28 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 476 subscribers
Avg views / post
72.0
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 16 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 22 September 2026
Posts held16 (28 June 2026 – 22 September 2026)
Views total216
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 17:22 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
61
Links
38

Lifetime counters from Telegram’s own channel header, read 28 September 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.

Reaction mix

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 3 of the 16 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 28 June 2026 to 22 September 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

22 Sept 2026, 09:25 UTC86 viewsread 28 September 2026
Photo

無效溝通 ❌ → 有效溝通 ✅ 每個人對「漂亮」的定義都不一樣 老闆們如果想讓經紀人更快 更精準理解你的需求 與其只說「想找漂亮的」不如直接說出你喜歡的類型 例如簡單說: 高挑|嬌小|大奶|年輕|輕熟|熟女|御姐|清純|性感 這樣經紀人就能更快掌握方向,幫你物色符合喜好的類型 ━━━━━━━━━━━━━━ 📌 職業/風格類型 清純學生妹|空姐|OL|模特|麻豆|校花|網美|IG女神|機車女神|性感車模|JKF女郎|伊林模特|幼教老師|國語老師|數學老師|英文老師|舞蹈生|體育生|理科生|秘書|人妻|學生|熟女|御姐|護士|醫生|啦啦隊|藝人|AV女優.... 📌 身材/外型特徵 高挑巨乳|嬌小可愛|童顏巨乳|高挑御姐|長腿|美腿|高挑|大奶|巨乳|貧乳|骨感|微胖|嬌小|白虎|主動|熱情|BBW... ━━━━━━━━━━━━━━ 💡 為什麼要這樣說? 講得越具體,溝通就越有效 直接告訴經紀人你的偏好,可以更快、更精準地找到…

Signed 👑妃妃-台灣高檔外送茶坊

22 Sept 2026, 09:25 UTC66 viewsread 28 September 2026

為什麼妹妹們都使用化名? 因為不少都是有知名度的本土短兼女生 化名主要是為了保護她們的隱私與身分 妃妃這邊的妹妹,資料皆經過實際了解與確認 從背景、條件到衛生與隱私,都會妥善把關 也正因為重視真實資訊與雙方隱私 才有這麼多優質女生願意放心來妃妃這邊報班 讓客人找得到適合的,也讓妹妹能安心❤️ 有需求的哥哥可以隨時密我喲 我一直在tg: @sy54777

Signed 👑妃妃-台灣高檔外送茶坊

21 Sept 2026, 13:10 UTC64 viewsread 28 September 2026

為什麼哥哥們都會要求「本人照」? 很簡單,因為花錢消費,誰都希望最後見到的 不要跟自己想像的差太多 所以照片當然也重要 它可以讓你先判斷女生的外形、身材和風格 但照片能解決的,主要是「她大概身形」;真正適不適合你,往往還要看照片之外的資訊 這也是我在幫哥哥推薦之前,不會單純丟一堆照片讓你自己挑的原因 我會先了解你,再去找適合你的 你的需求、喜好、禁忌、預算、方便時間 都是我推薦時會先確認的條件 先知道你要什麼,再推薦適合你的,而不是誰漂亮就推誰。所以我一直認為,找茶莊不能只把重點放在「是不是本人照」。 照片是第一層篩選,照片之外的資訊,以及茶姐到底懂不懂你的需求,才是後面的關鍵 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 哥哥下次選茶莊,可以客觀看三件事 第一|資訊是不是透明 照片之外,女生的條件、價位、服務內容,有沒有提前講清楚 資訊越完整,你越容易判斷這是不是自己真正想找的,而不是到了最後才發現跟預期不…

Signed 👑妃妃-台灣高檔外送茶坊

31 Aug 2026, 11:14 UTC135 viewsread 28 September 2026

Posted without readable text

Signed 👑妃妃-台灣高檔外送茶坊

31 Aug 2026, 11:14 UTC120 viewsread 28 September 2026

Posted without readable text

Signed 👑妃妃-台灣高檔外送茶坊

22 Aug 2026, 12:55 UTC116 viewsread 28 September 2026
Photo

茶莊怎麼選?其實先了解自己的需求更重要! 每一間茶莊的經營模式都不一樣,手上的資源、主打方向,以及 GTO 對妹子的了解程度也都不一樣 我也知道,很多哥哥其實已經嘗試過不少家,但最後妹子的條件沒有達到自己的預期。如果你比較在意品質穩定、長期配合的,可以優先挑選有名氣、願意長期經營口碑的茶莊 ━━━━━━━━━━━━━━━━━━━━ 但前提是——你也要先了解自己的眼光,以及自己所在市場的價位區間 因為只有「自己的眼光」和「市場上的價位」對得起來,你才會更清楚: ① 什麼價位,大概對應什麼樣的素質 ② 自己想要的條件,和目前預算是否成正比 ━━━━━━━━━━━━━━━━━━━━ 很多時候不是沒有更好的妹子,而是更高的素質,本身就會對應到不同的價位。就像生活中的品牌一樣,蔻馳(COACH)不可能為了吸引更多人購買,就直接把自身的定位和價格全部往下調 當然,每個人的眼光不同,對「約妹」的標準也完全不一樣 有人 4,500 就已經…

Signed 👑妃妃-台灣高檔外送茶坊

29 Jul 2026, 11:05 UTC141 viewsread 28 September 2026

Posted without readable text

Signed 👑妃妃-台灣高檔外送茶坊

29 Jul 2026, 11:05 UTC127 views1 reactionsread 28 September 2026

妃妃家是一手獨立經營的茶莊 從始至終都沒有跟任何一間配合 (包括酒店、旅館、飯店或其他單位) 這點請大家務必放心,也請以事實為準。 咨詢時我也會特別詢問大家所在的縣市、需求、禁忌以及方便的時間。 如果是新手、時間還沒確定、或對自己需求還比較模糊的朋友,也都非常歡迎隨時來找妃妃詳細溝通。 我會耐心為大家介紹、分析,同時也會給出適合的建議,幫大家找到最合適的選擇❤️ 為什麼需要詢問地區、偏好、禁忌、預算與時間? 這不是限制,而是為了更有效率、更準確地幫您安排到合適的選擇。 一、地區 全台皆可安排,但各地能配合的小姐不同。先了解您的所在位置,才能即時確認檔期與交通時間,讓安排更順利。 二、類型與禁忌 每位客人的喜好都不同,有人重視顏值,有人偏好身材比例或互動感。詢問偏好,是為了更精準推薦符合您口味的小姐,避免踩雷與落差。同時也會記住您不能接受的點,避免影響約會體驗。 三、預算 依您的預算範圍推薦合適價位的小姐,避免超支,也能更快找…

❤1

Signed 👑妃妃-台灣高檔外送茶坊

21 Jul 2026, 06:17 UTC129 viewsread 28 September 2026

Posted without readable text

Signed 👑妃妃-台灣高檔外送茶坊

19 Jul 2026, 05:04 UTC103 views1 reactionsread 28 September 2026
Forwarded from @yanguifei668Photo

👑妃妃-台灣高檔外送茶👑 擁有全台最高檔本土茶,北中南資源豐富,嚴格篩選素質、外在、互動與配合度,經紀人親自把關。 類型多元:#清純學生妹 #留學生 #空服員 #氣質OL #模特兒 #麻豆 #JKF女郎 #日韓小模 #人妻 #護士 #瑜伽老師 #舞蹈老師 #啦啦隊隊長 #DJ女郎 #專櫃小姐 #鄰家女孩 ...各種類型都有。每日更新,線上挑選,精準配對。 流程透明,價格明確,無模糊空間。 隱私至上,拒絕話術操弄,只推乾淨、穩定、高品質安排。若您追求長期穩定、不踩雷的頂級體驗,這裡會是你不二之選! 服務時間:13:00~04:00 📱TG:sy54777 ⭐Gleezy:ss69887 📱Line:68s8ky ———————————— 🤪歡迎大家加入妃妃Tg全世界🤪 性福引導者@sy54777 妃妃日常小碎碎 ————選妹區———— 🥇高檔尤物聚集地🥇 🔗https://t.me/LINEmk174 🦋精品選正妹頻道🦋 🔗htt…

❤1

Signed 👑妃妃-台灣高檔外送茶坊

11 Jul 2026, 10:20 UTC112 viewsread 28 September 2026
Forwarded from @mitao69888

約會事項重要通告 請大家們不要私下跟小姐加聯絡方式、也不要私下約會或談價 私下交易一旦發生問題,妃妃這邊無法處理,也無法保障您的權益 如果小姐主動給你私人聯絡方式,請不要添加,並請約完後立即告訴我 無論小姐外貌條件多好,只要人品有問題,我也會立刻淘汰處理 人品永遠是我這裡的第一底線 我只賺該賺的介紹費,絕不鼓勵私下交易 只要是透過妃妃安排的約會,任何問題我都會全程負責處理 真正高檔的外送,不只是約到漂亮女生,更重要的是安心與保障 希望每位哥哥都能輕鬆愉快地享受過程,感謝大家的理解與支持❤️

Signed 👑妃妃-台灣高檔外送茶坊

8 Jul 2026, 13:27 UTC123 viewsread 28 September 2026

妃妃外送茶莊服務公告📢 妃妃這邊提供的是正妹全套基本服務,包含親親、抱抱、全套愛愛、無套口交等基本項目 關於特殊服務(無套中出、口爆、無套內射等): 由於每位妹妹接受程度不同,是否能做以及費用多少,需要跟小姐私下商量決定 關於需要地區車資: 目前僅收取 NT$200~400 車資。妹妹若有多收 當下反應給經紀人(妃妃)我會請她退回多餘的錢 (多拿退回、少給補齊)或者折成優惠券下次約會抵當服務費 如果約會過程中遇到任何類似情況,為了避免影響約會體驗 請務必當下告訴我,我會立即處理妥當❤️ 最後感謝大家對妃妃的支持以及信任 希望大家都能喝到最適合自己的可口好茶🍵

Signed 👑妃妃-台灣高檔外送茶坊

Showing the 12 most recent of 16 posts we hold for @ss54777. 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

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 2 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 28 September 2026 — this entry's latest reading, not the date you are reading this.

“妃妃☔️約會須知 & 防雷指南☔️” (@ss54777), 476 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/ss54777.

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.