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Channel

熟女💕的誘惑

@xy8852

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

2,694subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001502809719
TypeChannel
Username@xy8852
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/xy8852

Growth

2,6902,6942,6927 August 2026 — 2,691 subscribers8 August 2026 — 2,690 subscribers10 August 2026 — 2,694 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net +3. 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 2,689–2,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:012,694+4
8 Aug 2026, 00:112,690-1
7 Aug 2026, 09:162,691first reading

Engagement

11 posts held, back to 16 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.49%
avg views ÷ 2,694 subscribers
Avg views / post
229
3 posts measured
Reaction rate
0.389%
reactions ÷ views · ER floor
Posts in window
3
of 11 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 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held11 (16 November 20253 August 2026)
Views total686
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:14 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

39 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
39100.0%

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 11 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 39reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 16 November 2025 to 3 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

3 Aug 2026, 08:43 UTC257 views1 reactionsread 7 August 2026
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💖台灣天堂島外送服務區域💖 ✅本茶坊只有外送/外約服務 ❌不是定點|無定點‼️ 🤯🤬😣😫🤯🤬😣😫 ✅ 北部服務區域 ⚡️ 台北市(4500起) 🔤 熟客可安排住家 「中正區|中山區|萬華區|大同區」 「松山區|大安區|信義區|內湖區」 「南港區|士林區|北投區|文山區」 ⚡️ 新北市(4500起) 🔤 熟客可安排住家 「板橋區|汐止區|新店區|永和區」 「中和區|土城區|三重區|新莊區」 「瀘洲區|五股區|泰山區」 「淡水|八里|林口|龜山+200車資」 ⚡️ 新竹市(4500起) 「新竹市|竹北區|東區|北區|香山」 🤯🤬😣😫🤯🤬😣😫 ✅ 中部服務區域 ⚡️ 台中市(3000起) 🔤 熟客可安排住家 「東區|西區|南區|北區|中區」 「西屯區|南屯區|北屯區|太平區」 「大里區|烏日區|大雅區」 「豐原區|沙鹿區 + 200車資」 🤯🤬😣😫🤯🤬😣😫 ✅ 南部服務區域 ⚡️ 高雄市(3200起) 「左營|三民|

1

3 Aug 2026, 08:36 UTC206 viewsread 7 August 2026
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如何向茶姐提供自己的需求? 天堂島約會的格式流程👇 請按照以下格式填寫,表達自己的要求 越詳細迷妹越好幫你物色符合的女生 迷妹家喝茶預約格式 目前地區: 妹妹類型: 身材要求: 討厭禁忌: 目前預算: 希望服務: 想約幾節: 預約時間: 哪家旅館: 一律見面滿意現金消費 不喜可退換 ➖➖➖➖🎀➖➖➖➖ 📱 私訊:@xmi_999 ⭐ Gleezy:xmi999(下載app) 📱 官網:http://www.xmi999.com/

3 Aug 2026, 08:36 UTC223 viewsread 7 August 2026
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📢最簡單明了の約會流程: ✨ ①.告知您方便的縣市、喜歡的類型、方便的時間以及預算範圍,我會給您提供合理的建議和合適的妹妹供您挑選 ✨②.小迷會再次確認時間、地點、妹妹、價位,然後馬上幫您安排或預約,避免您在旅館等待時間過長 ✨③.如果有提前預約,請您在預約的時間內提供房號給小迷,小迷把房號提供給妹妹,稍作休息後妹妹會直接到房間找您 ✨ ④.妹妹抵達房間後,一律見面現金交易(不轉賬、不匯款、不買點數),如果有任何疑問或者對來服務的妹妹不滿意,可以馬上聯絡小迷處理退換哦 ✨PS:如若臨時有事需要取消,請一定要提前告知,小迷好及時做應變處理,相互理解 感恩❤️ 🎀迷妹營業時間: 下午13:00-凌晨04:00 ➖➖➖➖🎀➖➖➖➖ 📱 私訊:@xmi_999 ⭐ Gleezy:xmi999(下載app) 📱 官網:http://www.xmi999.com/

11 Jul 2026, 09:20 UTC868 views1 reactionsread 7 August 2026
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🎯【天堂島|飛鏢福利】🎯 ❤️ 不限新客、熟客、皆可參加 當下消費者可獲得五次飛鏢機會 🎯 射出你的幸運好禮 🎯 射中①個|現享2000 射中②個|第二節半價 射中③個|現享折3000 射中④個|約會金額返半 射中⑤個|現享5000優惠 🤩 未中安慰獎 本次消費立即享 85 折優惠! 🤩 中獎優惠 立即生效 🤩 每次出手 都很值得期待 🤩 了解更多詳情 請來私訊迷妹喔 —————ʕ·͡ˑ·ཻʔ♥️ ————— 📱 𝙩𝙚𝙡𝙚𝙜𝙧𝙖𝙢:@xmi_999 ⭐ 𝙂𝙡𝙚𝙚𝙯𝙮:𝙭𝙢𝙞𝟵𝟵𝟵(下載𝙖𝙥𝙥) 📱 官網:http://www.xmi999.com/

1

22 May 2026, 07:21 UTC≈2,090 views3 reactionsread 7 August 2026
Forwarded from @yun9782Photo

防丟失 | 通知‼️ 辛苦大家加一下我的Gleezy唷 ⭐ Gleezy:xmi999 請大家同步添加~ 🤗🤗 如果TG找不到我可以去Gleezy找我喔 🐾🐾🐾🐾💗💗💗🐾🐾🐾🐾 💥台灣天堂島喝🍵群組 連結:https://c.gleezy.top/ffnSSeIH 射後💦心得客評專區 連結:https://c.gleezy.top/m5e7oLRe 新手💕外約需知 連結:https://c.gleezy.top/ZdrSjK4L 班表群 掃碼添加或是點擊連結加入喔 如果進不去 可以先加我 我拉你進去💗

3

18 Dec 2025, 11:33 UTC≈7,320 views3 reactionsread 7 August 2026
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#氣質輕熟女推薦‼️ 💕 潔潔:164公分 D罩杯 28歲 聲音淫蕩好聽 白嫩纖細美體 超級迷人 天菜級完美顏值 電力滿分 集優點於一身 不約會後悔!! 側插 LG 69 火車便當樣樣來 服務控速來 直接閉眼沖好吧‼️ ➖➖➖➖❤️❤️➖➖➖➖ 📱 私訊:@xmi_999 ⭐ Gleezy:xmi999(下載app) 📱 官網:http://www.xmi999.com/

3

18 Dec 2025, 11:33 UTC≈9,040 views3 reactionsread 7 August 2026
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#氣質熟女推薦‼️ 💕 舒香:162公分 D罩杯 32歲 騷貨人妻,胸部大!而且是木瓜胸型 皮膚很白 肉感十足(不是胖)聽說老公最愛從後面撞她屁股 手技很好 嘴很甜很會舔 服務控速來 直接閉眼沖好吧‼️ —————ʕ·͡ˑ·ཻʔ♥️ ————— 📱 𝙩𝙚𝙡𝙚𝙜𝙧𝙖𝙢:@xmi_999 ⭐ 𝙂𝙡𝙚𝙚𝙯𝙮:𝙭𝙢𝙞𝟵𝟵𝟵(下載𝙖𝙥𝙥) 📱 官網:http://www.xmi999.com/

3

18 Dec 2025, 11:33 UTC≈10,900 views19 reactionsread 7 August 2026
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#氣質輕熟女推薦‼️ 💕 比特:164公分 D罩杯 30歲 你的國文老師來兼職了!! 身材火辣 大奶大屁股 肉感國文老師 私下兼職滿足慾望 無套口交 來報復一下兇兇的國文老師吧 服務控速來 直接閉眼沖好吧‼️ —————ʕ·͡ˑ·ཻʔ♥️ ————— 📱 𝙩𝙚𝙡𝙚𝙜𝙧𝙖𝙢:@xmi_999 ⭐ 𝙂𝙡𝙚𝙚𝙯𝙮:𝙭𝙢𝙞𝟵𝟵𝟵(下載𝙖𝙥𝙥) 📱 官網:http://www.xmi999.com/

19

18 Dec 2025, 11:33 UTC≈10,100 views4 reactionsread 7 August 2026
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#氣質輕熟女推薦‼️ 💕 小圓:165公分 D罩杯 28歲 短期兼職的服裝店老闆娘 很有氣質 保養很好 外在保養很好 私處保養更贊 緊實水嫩 技巧超讚的 饑渴得很 主動熱情唷 服務控速來 直接閉眼沖好吧‼️ —————ʕ·͡ˑ·ཻʔ♥️ ————— 📱 𝙩𝙚𝙡𝙚𝙜𝙧𝙖𝙢:@xmi_999 ⭐ 𝙂𝙡𝙚𝙚𝙯𝙮:𝙭𝙢𝙞𝟵𝟵𝟵(下載𝙖𝙥𝙥) 📱 官網:http://www.xmi999.com/

4

3 Dec 2025, 07:39 UTC≈5,590 viewsread 7 August 2026

加入迷妹的小世界👇👇👇 ❥┈┈┈•台灣天堂島總覽┈┈┈❥ https://t.me/xmi9540

16 Nov 2025, 07:03 UTC≈5,780 views5 reactionsread 7 August 2026
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#氣質輕熟女推薦‼️ 床上淫蕩主動型,配合度高尺度大💦 經驗豐富超會玩,口技一流舌頭超靈活 騷話連發會挑逗 💕 艾啾:165公分 大C罩杯 30歲 服務控速來 直接閉眼沖好吧‼️ ➖➖➖➖❤️❤️➖➖➖➖ 📱 私訊:@xmi_999 ⭐ Gleezy:xmi999(下載app) 📱 官網:http://www.xmi999.com/

5

Showing the 11 most recent of 11 posts we hold for @xy8852. 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 — 1,041,678 of 1,183,361entries 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 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“熟女💕的誘惑” (@xy8852), 2,694 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/xy8852.

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.