Channel
@yinqu1453
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,465subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002016976788 |
|---|---|
| Type | Channel |
| Username | @yinqu1453 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/yinqu1453 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 09:34 | 1,465 | -2 |
| 13 Aug 2026, 23:37 | 1,467 | -3 |
| 11 Aug 2026, 03:24 | 1,470 | +7 |
| 7 Aug 2026, 23:30 | 1,463 | -1 |
| 7 Aug 2026, 21:49 | 1,464 | no change |
| 7 Aug 2026, 12:47 | 1,464 | first reading |
10 posts held, back to 7 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 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 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 10 (7 August 2026 – 7 August 2026) |
| Views total | 584 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:49 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 10 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 10 most recent posts we hold, published 7 August 2026 to 7 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.
北部小涵.155.21歲.F奶.48kg 1️⃣小涵客評 2️⃣小涵客評 3️⃣小涵客評 相信美琪 活該你性福啦✌️ 服務過程： 一見面就被小涵的氣質跟臉蛋電到，小小一隻卻很有存在感，聲音軟軟的，看人的眼神帶點害羞又勾人。F奶真的很有份量，捧起來柔軟又有彈性，皮膚白又細，摸起來滑滑的超舒服。收完錢後一起進浴室沖澡，水一沖下去整個人更誘人，胸部又白又圓，視覺衝擊很強。 上床後她會輕輕咬著嘴唇說「不要這樣…」但其實身體很配合，也很會用身體去回應。特別喜歡被拍打臀部，她的臀肉飽滿有彈性，頂撞時QQ的感覺很明顯。過程中會主動扭腰、發出好聽的聲音，完全沒有冷場。做完後兩個人都滿身汗，她還會貼過來輕輕幫我擦汗、聊天、按摩肩膀，整個人很有女友的感覺，溫柔又貼心。 身材比例漂亮，臉蛋清純，服務卻很主動，這種反差超加分。被她收拾得乾乾淨淨，整個人爽到放電。 對美琪的評價： 一次比一次準，介紹的妹妹都是我喜歡的類型。小涵完全對味，很用心在配對，…
❤1
🦁 小涵 155/F/48/21歲 可愛臉蛋配上F杯大奶，腰細腿長，活潑又會撒嬌，清新短髮讓人忍不住想多看幾眼，又純又色 #雙北客評 #台北可約 #新北可約
今天第一次約小涵，見面就覺得選對人了～😘 本來預約三節，結果服務太到位直接續到五節，整個人被她的親和力融化 ———————— 🦁 小涵 155-F-48-21歲 臉蛋稚氣卻帶點成熟韻味，身材曲線很明顯，抱起來手感超好，完全沒有距離感 #雙北客評 #台北可約 #新北可約
小涵 155/F/48/21歲 這次約到的小涵真的讓人很滿意，整體體驗相當加分。 155的嬌小身形配上F罩杯巨乳，視覺反差超強，細腰大奶的比例特別好看。童顏加上俏麗短髮，笑起來很有親和力，既可愛又帶點女人味。 個性活潑不會冷場，服務也很到位。口技認真，還會用熱熱麻麻的潤滑液，感覺相當舒服；女上的時候主動又配合，視覺享受滿分。牙齒整齊漂亮，近距離看意外加分。 這等級的身材跟服務已經很夠水準，值得回約。 #雙北客評 #台北可約 #新北可約
🇹🇼#美琪推薦 ➡️姓名：語菲 ➡️年龄：23 ➡️罩杯 : E ➡️体重：50 ➡️身高：168 💕職業：#網紅模特 臉蛋精緻身材豐滿，自然大胸手感極佳，臀又圓又翹，主動會騎上來自己動 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
🇹🇼#美琪推薦 ➡️姓名：宜靜 ➡️年龄：24 ➡️罩杯 : B ➡️体重：43 ➡️身高：155 💕職業：#書店店員 看起來乖巧安靜，實際上一碰到就會腿軟，小穴會不自覺收縮，邊紅臉邊說不要停 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
🇹🇼#美琪推薦 ➡️姓名：心妍 ➡️年龄：23 ➡️罩杯 : C ➡️体重：45 ➡️身高：161 💕職業：#護理師 外表專業冷靜，脫了衣服卻特別敏感，一被摸腿就會輕輕夾緊又慢慢鬆開，聲音壓抑又甜 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
🇹🇼#美琪推薦 ➡️姓名：雨彤 ➡️年龄：22 ➡️罩杯 : D ➡️体重：48 ➡️身高：164 💕職業：#舞蹈老師 身段柔軟會扭，體力持久，喜歡被抓著腰用力頂，邊做邊發出小聲的嬌喘 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
🇹🇼#美琪推薦 ➡️姓名：婉婷 ➡️年龄：24 ➡️罩杯 : B ➡️体重：44 ➡️身高：157 💕職業：#花店小姐 外表清純柔弱，一碰到敏感點就會瞬間夾緊，小穴又熱又濕，邊喘邊求慢一點 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
🇹🇼#美琪推薦 ➡️姓名：佳恩 ➡️年龄：21 ➡️罩杯 : E ➡️体重：49 ➡️身高：166 💕職業：#夜店舞者 身材火辣胸大腰細，翹臀有肉感，主動會扭腰迎合，尺度大敢玩各種姿勢 點擊解鎖😏 快樂入口 美琪精選外送茶喝茶聯絡方式： 📱 TG：@mq991210 ⭐ Gleezy：mq1210 📱 LINE : iloveu94520
Showing the 10 most recent of 10 posts we hold for @yinqu1453. 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 — 308,995 of 1,481,306entries 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.
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 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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“美琪💖精選外送茶” (@yinqu1453), 1,465 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/yinqu1453.
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.