‼️ 輕熟女推薦🍼 米嬉/162/48kg/F奶/30歲 💕「嬌小卻有料」 眼神嫵媚、舉手投足都很挑逗 ⛹️♀️ 💕嬌小 大奶 外貌漂亮 👍 💕可遇不可求 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤2

Channel
@tt874y
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,217subscribers
-18 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001820462115 |
|---|---|
| Type | Channel |
| Username | @tt874y |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/tt874y |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 16:57 | 4,217 | +2 |
| 18 Aug 2026, 03:21 | 4,215 | -7 |
| 14 Aug 2026, 22:05 | 4,222 | -4 |
| 11 Aug 2026, 05:13 | 4,226 | -8 |
| 8 Aug 2026, 07:04 | 4,234 | -1 |
| 7 Aug 2026, 12:33 | 4,235 | no change |
| 7 Aug 2026, 12:29 | 4,235 | first reading |
12 posts held, back to 16 July 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 4 pagesof 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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 12 (16 July 2026 – 7 August 2026) |
| Views total | 432 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 12:01 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.
19 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 57.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 57.9% | |
| 🥰 | 8 | 42.1% |
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 12 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 19reactions 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 16 July 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.
‼️ 輕熟女推薦🍼 米嬉/162/48kg/F奶/30歲 💕「嬌小卻有料」 眼神嫵媚、舉手投足都很挑逗 ⛹️♀️ 💕嬌小 大奶 外貌漂亮 👍 💕可遇不可求 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤2
‼️ 輕熟女推薦🍼 芯卉/163/48kg/E奶/30歲 💕 那種「斯文外表、火辣身材」的衝突感,真的會讓人凍未條 ⛹️♀️ 💕經驗夠、也夠放得開,不會扭捏也不會敷衍 👍 💕可遇不可求 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤1
‼️ 輕熟女推薦🍼 芊宇/165/50kg/F奶/35歲 💕 經驗豐富、非常懂男人的需求,不用你開口她都知道該怎麼配合 ⛹️♀️ 💕奶的份量是真的有,柔軟、圓潤、帶點自然的下垂弧線 👍 💕如果你喜歡成熟大奶的輕熟女、喜歡那種「姐就是懂」的服務 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤1
‼️ 輕熟女推薦🍼 楚柔/165/50kg/D奶/28歲 💕 正好是褪去少女青澀、開始散發成熟韻味的年紀 ⛹️♀️ 💕 低調沈穩 跟她相處你會覺得很舒服、很放鬆 👍 💕白白嫩嫩的,加上一點點豐腴的曲線,整個人抱住的時候那種的觸感,真的會讓人沈浸其 💦 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤1
Posted without readable text
🥰1
【推薦の極品輕熟】‼️ 地區:南部 資訊:組恩/164/48kg/D/28y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤2🥰1
【推薦の極品輕熟】‼️ 地區:南部 資訊:芊綉/160/48kg/D/28y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
🥰1
【推薦の極品輕熟】‼️ 地區:中部 資訊:高畇妤/163/48kg/D/30y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
🥰1
【推薦の極品輕熟】‼️ 地區:中部 資訊:紫旋/164/48kg/E/30y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
🥰1
【推薦の極品輕熟】‼️ 地區:北部 資訊:尹雨琦/163/45kg/D+/27y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤2🥰1
【推薦の極品輕熟】‼️ 地區:北部 資訊:韶妍/164/45kg/D+/29y 🎀推薦理由: 會引導新手 懂老司機 服務配合度都滿分 很好相處 cp值超高 🎀聯絡方式🫶🫶 📱小軟のTG:@y6459 💥 Gleezy搜索:y6459 📱約妹旅館推薦:@xxx86889
❤2🥰1
怕你們看著感覺太亂 小軟這邊整理了一下必看清單 更加方便你們了解唷❤️ 1.小軟的聯絡方式🌸 ➡️: https://t.me/mamamaqa/214 2.浪漫島營業時間😦 ➡️: https://t.me/mamamaqa/213 3.服務地區及需要支付車資的地區😦 ➡️: https://t.me/mamamaqa/209 4. 外約流程😦 ➡️: https://t.me/mamamaqa/138 5.如何防詐騙😦 ➡️: https://t.me/mamamaqa/198 6.新手如何約+正確表達喜歡的類型😦 ➡️: https://t.me/mamamaqa/138 7.外送和個工有什麼區別😦 ➡️: https://t.me/mamamaqa/133 8.約會小技巧😦 ➡️: https://t.me/mamamaqa/326 9.影片選妹 ➡️:https://t.me/+-Ne…
🥰1
Showing the 12 most recent of 12 posts we hold for @tt874y. 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 — 1,183,635 of 1,584,733entries 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.
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.
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.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“輕熟女專區❤️” (@tt874y), 4,217 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/tt874y.
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.