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Channel

韻味熟女.老阿姨 人妻 輕熟女Gleezy:sk3826

@ig66866

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

593subscribers

+11 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-1002862524926
TypeChannel
Username@ig66866
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/ig66866

Growth

582593587.57 August 2026 — 582 subscribers8 August 2026 — 582 subscribers15 August 2026 — 593 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net +11. 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 580–595 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 19:37593+11
8 Aug 2026, 03:21582no change
7 Aug 2026, 17:07582first reading

Engagement

10 posts held, back to 20 July 2026the 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 · 30 days
26.2%
avg views ÷ 593 subscribers
Avg views / post
155
6 posts measured
Reaction rate
0.519%
reactions ÷ views · ER floor
Posts in window
6
of 10 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 2 of 6 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 7 August 2026
Posts held10 (20 July 20267 August 2026)
Views total931
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:21 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 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 2reactions 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 20 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

7 Aug 2026, 06:53 UTC61 viewsread 8 August 2026
Photo

岩芯 162cm.D奶.47kg.32歲 味道足 經驗很多 很熟練 很有技術 服務超級贊 身材還不錯哦 30歲的她很饑渴 皮膚很好 而且之前的工作是OL工作 到現在還是一個有氣質的熟女 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

3 Aug 2026, 08:23 UTC150 views1 reactionsread 8 August 2026
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迪麗 163cm.47.C奶.33歲 #辦公室性感OL 美顧問御姐 保養極佳 成熟女人味爆棚 很饑渴 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

1

2 Aug 2026, 07:03 UTC147 viewsread 8 August 2026
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婉晴 163m.E奶.48kg.30歲 #性感韻味女人國文老師 御姐調教不一樣的體驗角色 無套吹功夫超棒奶大不油穴緊性慾強 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

2 Aug 2026, 07:03 UTC154 viewsread 8 August 2026
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#情趣店老闆娘 艾菲165cm・48kg・D奶・30歲 大奶白软好捏 身材性感凹凸有致 .性慾小姊姊 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

28 Jul 2026, 07:51 UTC235 views1 reactionsread 8 August 2026
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#性感熟女 惠英 163cm.E奶.52kg.30歲 客評:這位少婦身材火辣,風情萬種,一看就是很有經驗的那種,我本身就偏愛成熟一點的,她正好符合我的口味,一進門就看到她穿著惹火,爆乳豐臀,看著就很有誘惑力。 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

1

23 Jul 2026, 06:13 UTC301 viewsread 8 August 2026
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麗華 162cm / D杯 / 52kg / 38歲 #保險業務 #熟女控最愛 #姐姐系天花板 類型:輕熟女 / 氣質姐姐 / 很會撒嬌 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

21 Jul 2026, 06:47 UTC320 viewsread 8 August 2026
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素素 165cm.C奶.47kg.37歲 想要嘗試一下跟陌生人做愛的感覺 想嘗試的服務:口爆 奶爆 足爆 深喉嚨 最喜歡的感覺:絲(撕)襪肏 PS: (很享受淫水浸濕絲襪的fu) 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

21 Jul 2026, 06:25 UTC278 viewsread 8 August 2026
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靜靜 166.50.D+.38歲 #大奶OL 氣質加上黑絲 超誘人 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

20 Jul 2026, 06:12 UTC293 viewsread 8 August 2026
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#單身輕熟女 蘭姐 165cm D奶 48kg 30歲 極品E奶正妹限名額可約 身材非常好 S曲線無贅肉 真奶可任意 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

Showing the 10 most recent of 10 posts we hold for @ig66866. 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 — 43,563 of 1,584,420entries 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 11 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.

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

“韻味熟女.老阿姨 人妻 輕熟女Gleezy:sk3826” (@ig66866), 593 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/ig66866.

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.