Telegram RegisterThe public register of Telegram

Channel

涵涵&北中南旅館推薦

@lvguan22

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

180subscribers

+0 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-1002157469770
TypeChannel
Username@lvguan22
Description北中南安全旅館推薦 北中南看妹資訊: @w5321 深夜小火車: @ty495ty 優質好妹客評: @kep587
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/lvguan22

Growth

1807 Aug 2026, 10:15 — 180 subscribers8 Aug 2026, 13:02 — 180 subscribers7 Aug 2026, 10:158 Aug 2026, 13:02
2 measurements spanning 1 day. 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 179–181 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 13:02180no change
7 Aug 2026, 10:15180first reading

Engagement

17 posts held, back to 23 February 2025the 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 17 posts for this entry, the most recent from 24 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
7
Links
118

Lifetime counters from Telegram’s own channel header, read 8 August 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 17 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 23 February 2025 to 24 June 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

24 Jun 2026, 15:57 UTC90 viewsread 8 August 2026
Forwarded from @w5321

分享給大家一個找旅館的神器~ 節假日、休息日旅館真的都超級滿房😵‍💫 哥哥們可以先用這個查查哪裡還有空房, 就不用臨時到處找、浪費時間惹!✨✨ 休息房間: https://play.google.com/store/apps/details?id=com.agoda.mobile.consumer 住宿房間: https://play.google.com/store/apps/details?id=zoeknow.com.funnow

26 Feb 2026, 08:49 UTC316 viewsread 8 August 2026
Forwarded from @w5321Photo

新軟體Gleezy APP下載&加好友詳細教程 👍 隱私安全不卡頓 聊天更穩定 ✅ 步驟一:先下載Gleezy 1️⃣ 安卓手機用戶: 👉複製這個連結用手機瀏覽器打開 🔗https://gleezy.net/kk3664 →點「下載 Android 版本」按鈕 → 安裝APP 2️⃣ iPhone 用戶: 👉 打開 App Store 👉 搜尋「Gleezy」 → 點「取得」下載 ✅ 步驟二:註冊帳號 👉 打開APP → 點「註冊」 👉 輸入手機號碼/+設密碼 👉 完成簡單認證 → 建立帳號 (或依照APP提示直接註冊) ✅ 步驟三:加好友 👉 進入主畫面 → 點選 「+號」或「加好友」掃QR 👉 在搜尋欄輸入我的帳號/ID:kk3664 👉 點選「加好友」→ 等我通過即可開始聊天! ✅ 常見問題Q&A Q:APP安全嗎? A:我自己用很久了,沒有廣告、不會亂跳通知訊息、也不會被盜號或限制之類,是專門聊天用的乾淨平台

24 Mar 2025, 16:48 UTC≈1,160 viewsread 8 August 2026

☘️#台北 #永和區 相見歡 https://www.google.com/travel/hotels/s/hfZ7yDp9mdpukkmE9

24 Mar 2025, 16:47 UTC≈1,150 viewsread 8 August 2026

☘️#台北 #永和區 晶贊都會旅店 https://www.google.com/travel/hotels/s/ZcQxBZntp74w9LJn7

24 Mar 2025, 16:47 UTC≈1,100 viewsread 8 August 2026

☘️#台北 #中正區 帥客旅店 https://www.google.com/travel/hotels/s/Qwiw3WE327HH2bt56

24 Mar 2025, 16:46 UTC914 viewsread 8 August 2026

☘️#台北 #中正區 承攜行旅 - 台北台大館 https://www.google.com/travel/hotels/s/BdQv2t46JxQC5g9V9

24 Mar 2025, 16:45 UTC855 viewsread 8 August 2026

☘️#台北 #大安區 台北商旅 大安館 https://www.google.com/travel/hotels/s/uYkbnGR9eYSUSi6k8

24 Mar 2025, 16:45 UTC791 views1 reactionsread 8 August 2026

☘️#台北 #大安區 香城大飯店 https://www.google.com/travel/hotels/s/fj2JmRHzQWB43g6CA

1

24 Mar 2025, 16:45 UTC730 viewsread 8 August 2026

☘️#台北 #大安區 宏都金殿 https://www.google.com/travel/hotels/s/HcWk1DYeY9u5hvZC7

24 Mar 2025, 16:44 UTC703 viewsread 8 August 2026

☘️#台北 #大安區 台北馥敦-復南館 https://www.google.com/travel/hotels/s/DujdRXG3HJwbGMDs5

24 Mar 2025, 16:42 UTC654 viewsread 8 August 2026

☘️#高雄 #苓雅區 御宿Motel 建國館 https://www.google.com/travel/hotels/s/19vhGbyb7qL3vY1e7

24 Mar 2025, 16:42 UTC642 viewsread 8 August 2026

☘️#高雄 #前金區 日光河堤時尚旅店 https://www.google.com/travel/hotels/s/uN82ZPJWoPm6ppg86

Showing the 12 most recent of 17 posts we hold for @lvguan22. 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 — 78,346 of 1,340,412entries 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

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 3 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.

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

“涵涵&北中南旅館推薦” (@lvguan22), 180 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/lvguan22.

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.