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Channel

新人必看

@yp4426

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

129subscribers

-4 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002098950829
TypeChannel
Username@yp4426
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live23 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/yp4426

Growth

1291331317 August 2026 — 133 subscribers8 August 2026 — 132 subscribers9 August 2026 — 132 subscribers15 August 2026 — 130 subscribers23 August 2026 — 129 subscribers7 August 202623 August 2026
5 measurements spanning 16 days, net -4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 128–134 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 21:58129-1
15 Aug 2026, 18:06130-2
9 Aug 2026, 00:31132no change
8 Aug 2026, 09:34132-1
7 Aug 2026, 14:32133first reading

Engagement

20 posts held, back to 19 December 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 18 December 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
17s
Average length
17s

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.

Reaction mix

5 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
240.0%
👍240.0%
😱120.0%

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 8 of the 20 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 19 December 2024 to 18 December 2025, 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

18 Dec 2025, 03:22 UTC135 views1 reactionsread 9 August 2026

🎓《亞璇課堂》開課啦! 本節主題:#詐騙防範實戰指南 每位哥哥辛苦賺的錢,都不該白白落入詐騙集團的口袋。 但你知道嗎?詐騙早就不只是騙錢,它已經變得越來越像「演戲」、「騙感情」、「製造幻想」,一步步引你入坑。 以下是目前最常見的幾大詐騙手法👇 ❌ 詐騙套路 ❶|超低價釣魚局 出現「3K/1H」「5K包夜」這種超便宜價格時,先別開心太早。 📌常見手法: 妹妹臨時沒空、換人 妹到樓下但進不來,要你先轉押金 根本沒妹,收完就封鎖 🧠重點:這不是便宜,是釣魚鉤。 ❌ 詐騙套路 ❷|保證金詐騙 「為了確保你有誠意,先轉個1000押金」 「這是平台機制,我們要先驗證你」 📌通常會叫你轉帳、超商買點數、匯款到人頭帳戶 📌有人轉完後對方直接封鎖,或傳假客服、假證件繼續騙更多 🧠重點:真正的外約不會在見面前收錢,誰收錢誰就是詐騙。 ❌ 詐騙套路 ❸|色情直播勒索(錄影威脅) 加入「私密視訊群」、「女優陪聊」、「約炮直播房」 →

1

15 Dec 2025, 08:27 UTC124 views0 reactionsread 9 August 2026
Photo

很多人其實都有一個誤會, 不只外送茶,連麥當勞漢堡、IG 網紅也是一樣—— 照片本來就不等於實物。 新手剛接觸外送, 很容易把它當成「看照片選美眉」的入門方式, 但實際上外送茶跟想像中的模式差很多, 也因此產生了不少誤解。 先說一個現實面: 真正的台妹外送,尤其是兼職的,本來就不可能放本人照。 因為她們是真實生活中的人,不是商品、不是展示品, 要顧隱私、要顧安全,也要顧自己的生活。 所以除非是非常熟的熟客, 不然幾乎不會看到真正的本人照片。 至於有些看得到照片的, 你也要有一個心理準備—— 那些幾乎一定都有修圖。 現在的修圖技術,不只是美肌瘦臉, 連身形、比例都能大幅調整。 照片好看,不代表本人會長得一模一樣。 其實這點放在現實生活也一樣: 你身邊覺得很正的女神, 她 IG 上的照片,真的跟本人完全一樣嗎? 多數時候,能從照片認得出本人,就已經算很真實了。 所以外送真正該看的, 不是「照片有多美」, 而是 安排的人是否

1 Dec 2025, 14:58 UTC119 views0 reactionsread 9 August 2026
Forwarded from @a86341kkPhoto

#第一次配合如何正確預約? #預約格式 為了讓哥哥第一次就安排到“對味”的妹妹 哥哥如果方便~請提供以下資訊 亞璇才能做最準確的私人配對👇 📌 預約資訊表 ・ 想約的時間: ・ 住哪個縣市?例如:北/中/南 ・ 預算&節數 ・ 喜歡的身材類型:(瘦/均勻/豐滿) ・ 年齡大概希望落在哪:(如:20–30) ・ 偏好互動(例:健談、主動、女友感…) ・ 約會禁忌:(例:刺青,抽菸…) 有這些,我才能精準幫你把關~ 不讓你踩雷、不讓你浪費時間❤️

23 Apr 2025, 07:36 UTC386 viewsread 9 August 2026
Forwarded from @a86341kkPhoto

朋友上次推薦的匿名聊天軟體可以下載了耶~✌️ 目前只能蘋果手機下載 用蘋果手機哥哥可以安排上喔 安全隱私

8 Apr 2025, 03:42 UTC303 viewsread 9 August 2026
Forwarded from @a86341kkPhoto

新的一天 新的營業 我已火力全開 帶著滿滿的誠意與熱情 等待為你服務 歡迎隨時滴滴我~

3 Apr 2025, 06:09 UTC249 viewsread 9 August 2026
Forwarded from @a86341kk

凡事加入亞璇的大G直接領取2000優惠劵喔 加入後記得告訴我你是誰唷~ https://t.me/a86341kk/6673

8 Mar 2025, 03:27 UTC334 views1 reactionsread 9 August 2026
Forwarded from @a86341kkPhoto

#預約好啦~ 哥哥很棒👍有提前預約的好習慣 🔴一定要養成提前預約妹妹的好習慣 因為優質的妹妹大家都想要 提前預約的話小亞才能幫哥哥們精挑細選唷~ ps:提前預約的好處?為什麼要提前預約? ➡️1.提前預約能讓介紹人有更多時間為您精挑細選,找到最適合您的小姐,確保服務品質。 ➡️2.提前預約也能讓小姐更好地安排時間,避免臨時抱佛腳 讓您的體驗更貼心、更完美。

👍1

7 Mar 2025, 15:49 UTC233 viewsread 9 August 2026
Forwarded from @a86341kkVideo

LINE、Telegram、wechat時常不穩定 加上有些哥哥有家庭的和有女友的時常也會被檢查手機 被黑客盜號的問題 小亞發現一個非常好用的APP喔~ 點擊這里:https://gleezy.net/ppmi6g 就可以直接和小亞聊天 在也不用擔心以上所以問題啦~ 小亞在GLeezy等你 方便快捷 安全隱秘 放心使用小亞替你哥哥們試過了👍 可以直接從網頁版保存在手機桌面唷~ ‼️一定要把小亞放在桌面😘😘

4 Mar 2025, 09:09 UTC268 viewsread 9 August 2026
Photo

➡️#不喜歡花錢約的 #只喜歡免費的炮友➡️ 📌首先,我尊重你的喜好,也不會勉強你消費。 #只是不愛請不要傷害 小姐們用身體賺錢,是因為生活所迫,誰不想在家當小公主呢?這是最後的倔強,請多一點理解。 📌其次,免錢的最貴‼️ 已經有太多客人跟小亞說,自己去約免費的,結果被騙光積蓄。✅比如: ①對方說買幾百塊的點數就能過夜、約會,甚至當你女友。 ②結果錢花了,人沒見到,還被拉黑。 ③小亞總結了一句話:#愛貪小便宜的人往往容易被騙。 📌最後,小亞想說 #約妹不是違背道德,也沒有踩法律紅線,這只是解決生理需求的一種方式。 #性慾是人與生俱來的,就像肚子餓要吃飯、尿急要上廁所一樣,再正常不過了 ①如果長期得不到宣洩,對身心都會有傷害。 ②你有老婆或女友?恭喜你,你有固定的對象。 ③如果沒有,花錢解決需求是很正常的事。 📌#現金消費 #謹防被騙‼️‼️ 別為了省小錢,反而被騙大錢

1 Mar 2025, 12:27 UTC217 views1 reactionsread 9 August 2026
Forwarded from @a86341kkPhoto

爬文看到的打手槍需謹慎🙈

😱1

28 Feb 2025, 15:09 UTC754 viewsread 9 August 2026
Photo

很多哥哥不理解無照/有照的區別 小亞詳細跟哥哥們說一下🔔 無照片 vs 有照片的區別‼️ 1.有照片的妹妹 ➡️照片是根據妹妹的真實身材和外貌挑選的,盡量貼近實際情況,但不會和本人完全一致。 ➡️照片的主要作用是提供參考,讓哥哥們對妹妹的外形有一個初步了解,幫助判斷是否符合自己的喜好。 ➡️雖然照片不能保證100%還原,但能讓哥哥們對妹妹的身材、氣質等有一個大致印象。 2.無照片的妹妹 ➡️這類妹妹非常注重隱私,因此不提供照片。 ➡️但她們會提供真實的身材數據(如身高、體重、三圍等)以及詳細的個人介紹,讓哥哥們了解她們的特點。 ➡️小亞會根據哥哥們的需求(如喜歡的身材類型、風格等),精準推薦高品質的妹妹,確保推薦的妹妹符合你的期待,帶來最好的體驗。 【總結】 ✅有照片:提供參考,幫助初步了解妹妹的外形。 ✅無照片:注重隱私,但提供真實數據,小亞精準推薦,確保高品質體驗。 🌐加賴預約妹 🌐加TG預約妹 🌐論壇官網

Showing the 12 most recent of 20 posts we hold for @yp4426. 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 — 83,735 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.

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

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.

Named by

Channels on the register whose posts name this channel's handle.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“新人必看” (@yp4426), 129 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/yp4426.

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.