高檔天菜尤物 歐陽冰冰 170cm-47kg-F-24歲 #限定優惠價位:24000 IG網紅 人氣超級高 有在健身的美腿女神 超高顏值 經常跑去健身房鍛煉的自律女神 有性感迷人的馬甲線 體態超好 皮膚水嫩緊實 胸部飽滿堅挺 身體都是真材實料 #無加工 出門穿著性感 嘴巴小小的 笑起來很迷人 吃起來更爽 口活很厲害 #小惠茶坊獨家推出看到相同請看PO文時間 謝謝 小惠家的咩咩只在小惠家兼職噢 當你還在糾結不知道如何選擇 請記得密小惠噢 給你幸福一生的GTO 喝茶不迷路一試成主僱 🌐 蜜小惠 :wk868 🌐 蜜小惠:@cc6861 ⭐ 小惠 Gleezy: wd778 ⭐ 一建加入所有頻道 ⭐Gleezy喝茶群組加入 ⭐ 一建加入喝茶頻道 ⭐Gleezy影片群組加入 🔞 正妹資訊:@w77kj 🔞 顯濕片免費看:@wd778jkff 🔞總頻道加入不迷路:@wd778jjj 🌟喝茶網址: h…

Channel
高檔極品尤物 +小惠Gleezy:wd778
@w77k1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,244subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002200790934 |
|---|---|
| Type | Channel |
| Username | @w77k1 |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/w77k1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 11:48 | 3,244 | -7 |
| 10 Aug 2026, 08:40 | 3,251 | +10 |
| 7 Aug 2026, 02:28 | 3,241 | no change |
| 7 Aug 2026, 01:17 | 3,241 | first reading |
Engagement
13 posts held, back to 19 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 3 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.1%
- avg views ÷ 3,244 subscribers
- Avg views / post
- 326
- 13 posts measured
- Reaction rate
- 0.461%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 13 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. It is computed over the 9 of 13 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 | 13 (19 July 2026 – 7 August 2026) |
| Views total | 4,241 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:40 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.
Reaction mix
14 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 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 9 of the 13 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 19 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.
Recent posts
高檔尤物(限時報班) 林夏夏 168cm-47kg-E-23歲 #優惠價位:25000(不二價) 之前有當過啦啦隊 也有當過主播 全能女生 臉蛋看起來超正 有一雙筆直纖細的性感美腿 還有讓人看了一眼就會很愛的顏值 平時沒有機會認識的女生 現在報班小惠茶坊 成為你女友的一天 臉蛋很精緻 零加工的身體 還有舞蹈功底 所以身體是超級柔軟的 床上也很主動 #小惠茶坊獨家推出看到相同請看PO文時間 謝謝 小惠家的咩咩只在小惠家兼職噢 當你還在糾結不知道如何選擇 請記得密小惠噢 給你幸福一生的GTO 喝茶不迷路一試成主僱 🌐 蜜小惠 :wk868 🌐 蜜小惠:@cc6861 ⭐ 小惠 Gleezy: wd778 ⭐ 一建加入所有頻道 ⭐Gleezy喝茶群組加入 ⭐ 一建加入喝茶頻道 ⭐Gleezy影片群組加入 🔞 正妹資訊:@w77kj 🔞 顯濕片免費看:@wd778jkff 🔞總頻道加入不迷路:@wd…
嘻嘻包夜體驗快樂 月初我的神仙哥哥 超級感恩~
❤1
#雙飛女神 左邊白褲:林夕娜 166-47-D-23歲 右邊黑褲:陳小恩 168-46-C-22歲 很好的閨蜜朋友一起下海 都是美腿女神 之前也都是模特 現在一起在做主播 對慾望也都很渴望 平日工作的他們是高冷女神 私下的他們是色情解渴的小女人 說話很好聽 特別是在床上叫床聲也很勾人 想要被她們的服務折服 可以蜜小惠享受月初最骨折的價位 想要體驗二位女生一起服務你麼? 一位幫你口交一位跟你舌吻 一位在你身下 另外一位在你身上 一次可享受雙管齊下的快樂 #小惠茶坊獨家推出看到相同請看PO文時間 謝謝 小惠家的咩咩只在小惠家兼職噢 當你還在糾結不知道如何選擇 請記得密小惠噢 給你幸福一生的GTO 喝茶不迷路一試成主僱 🌐 蜜小惠 :wk868 🌐 蜜小惠:@cc6861 ⭐ 小惠 Gleezy: wd778 ⭐ 一建加入所有頻道 ⭐Gleezy喝茶群組加入 ⭐ 一建加入喝茶頻道 ⭐Gleezy影…
❤1
約美腿模特 4節45000 滿意而歸 加入回約 月底相信我的英雄 謝謝你的信任
❤2
相信小惠滿意而歸 18000 果然素質眼前一亮 月底來捧場的哥哥收穫開心滿滿
七月進入倒計時 馬上就要八月 最後的是幾個小時 #小惠月底缺口:8萬 這個月對我很重要 七月只有十幾個小時可以做業績了 有沒有英雄出來幫幫小惠 小惠會感謝你們一輩子 記得你們一輩子的好 Q~Q 有英雄出來幫幫忙嗎 不管多少價位都可以 對小惠的幫助都很大 小惠都會給你們瞧月底最優惠的價位┭┮﹏┭┮
❤1
今天有英雄出現嗎Q~Q
❤2
昨天+今天的業績 大姐給我算了 #我的業績還: 23萬 倒計時幾天的時間有月底有沒有英雄出來幫幫小惠 小惠給你們瞧到最低的價位 給你們最值得的優惠 給你們最好的素質 不管多少都可以
❤2
陳妮娜 168-48-E-24歲 #行業出名的高顏值正妹 #優惠價位:35000 #職業:模特(兼主播) 之前在學校也是很漂亮的校花 臉蛋高級 身材也是很極品的 三七分比例 別人男人會超級喜歡 殺宅男 更殺宅女 臉蛋超級正的 第一眼氣質溫柔 說話也是很溫柔 甜甜的 連叫床聲都很勾人 在搭配她那完美的身材+臉蛋 真的會愛上的女神 這次報班小惠短兼五天(之後不確定會不會報班) 約到賺到 #小惠茶坊獨家推出看到相同請看PO文時間 謝謝 小惠家的咩咩只在小惠家兼職噢 當你還在糾結不知道如何選擇 請記得密小惠噢 給你幸福一生的GTO 喝茶不迷路一試成主僱 🌐 蜜小惠 :wk868 🌐 蜜小惠:@cc6861 ⭐ 小惠 Gleezy: wd778 ⭐ 一建加入所有頻道 ⭐Gleezy喝茶群組加入 ⭐ 一建加入喝茶頻道 ⭐Gleezy影片群組加入 🔞 正妹資訊:@w77kj 🔞 顯濕片免費看:@wd…
❤2
林夕恩 157-45-C-19歲 #校花初次兼 #優惠價位:30000(不二價) 小惠本人去面試 超級尤物 臉蛋真的漂亮到不知道怎麼形容 五官可愛清純 長髮公主 皮膚白皙光澤 像校園裡的初戀 身材嬌小 皮膚粉嫩 身體敏感 一觸碰就顫抖 讓人產生保護又想欺負的衝動 嘴巴小小的 含住哥哥時 會用舌頭輕舔鬼頭 ib一遍吃弟弟一遍會用超無辜的眼睛 看著哥哥 真的超級勾人 服務好配合 身體很緊實 #初次兼職 喜歡高檔尤物校花的哥哥 機會來惹 #小惠茶坊獨家推出看到相同請看PO文時間 謝謝 小惠家的咩咩只在小惠家兼職噢 當你還在糾結不知道如何選擇 請記得密小惠噢 給你幸福一生的GTO 喝茶不迷路一試成主僱 🌐 蜜小惠 :wk868 🌐 蜜小惠:@cc6861 ⭐ 小惠 Gleezy: wd778 ⭐ 一建加入所有頻道 ⭐Gleezy喝茶群組加入 ⭐ 一建加入喝茶頻道 ⭐Gleezy影片群組加入 …
相信小惠滿意而歸 約校花學生 超級嫩嫩的學生 回頭率100%的那種 只約一節 下次一定要二節 有點爆口袋但是值得
❤1
Showing the 12 most recent of 13 posts we hold for @w77k1. 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 — 146,655 of 1,478,351entries 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.
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 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“高檔極品尤物 +小惠Gleezy:wd778” (@w77k1), 3,244 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/w77k1.
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.