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Channel

熟女濕樂圓🧚🏻‍♀️【咪醬老師】

@mi97mi

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

5,819subscribers

-143 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001717553017
TypeChannel
Username@mi97mi
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live6 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/mi97mi

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

5,8165,9625,8898 August 2026 — 5,962 subscribers8 August 2026 — 5,962 subscribers11 August 2026 — 5,955 subscribers18 August 2026 — 5,951 subscribers25 August 2026 — 5,941 subscribers28 August 2026 — 5,931 subscribers31 August 2026 — 5,923 subscribers3 September 2026 — 5,909 subscribers8 September 2026 — 5,889 subscribers12 September 2026 — 5,885 subscribers16 September 2026 — 5,883 subscribers30 September 2026 — 5,853 subscribers7 October 2026 — 5,823 subscribers13 October 2026 — 5,816 subscribers16 October 2026 — 5,821 subscribers19 October 2026 — 5,827 subscribers22 October 2026 — 5,828 subscribers25 October 2026 — 5,837 subscribers28 October 2026 — 5,839 subscribers31 October 2026 — 5,831 subscribers3 November 2026 — 5,828 subscribers6 November 2026 — 5,819 subscribers5,8198 August 20266 November 2026
22 measurements spanning 90 days, net -143. 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 5,794–5,984 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
6 Nov 2026, 13:505,819-9
3 Nov 2026, 18:275,828-3
31 Oct 2026, 07:355,831-8
28 Oct 2026, 09:165,839+2
25 Oct 2026, 08:565,837+9
22 Oct 2026, 11:505,828+1
19 Oct 2026, 14:595,827+6
16 Oct 2026, 09:155,821+5
13 Oct 2026, 13:545,816-7
7 Oct 2026, 15:215,823-30
30 Sept 2026, 19:165,853-30
16 Sept 2026, 05:575,883-2
12 Sept 2026, 17:555,885-4
8 Sept 2026, 22:385,889-20
3 Sept 2026, 10:235,909-14
31 Aug 2026, 13:425,923-8
28 Aug 2026, 11:035,931-10
25 Aug 2026, 04:525,941-10
18 Aug 2026, 04:235,951-4
11 Aug 2026, 02:555,955first reading

Engagement

37 posts held, back to 2 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 7 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.79%
avg views ÷ 5,819 subscribers
Avg views / post
162
10 posts measured
Reaction rate
0.568%
reactions ÷ views · ER floor
Posts in window
10
of 37 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 5 of 10 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 4 November 2026
Posts held37 (2 August 2026 – 4 November 2026)
Views total1,623
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 16:44 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

38 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 52.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2052.6%
😍1539.5%
🥰25.26%
😁12.63%

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 11 of the 37 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 2 August 2026 to 4 November 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

Telegram’s own ‘edited’ marker: 0 of 10 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 12:28 UTC105 viewsread 4 November 2026
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忙了半年多一有空就找我,對之前約過的插花老師還念念不忘😝

4 Nov 2026, 12:16 UTC108 views1 reactionsread 4 November 2026
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‼️咪醬老師驗證優質女生‼️ 🚘地區:#高雄/台南 🍺職業:夜市老闆娘 🎀藝名:宣玉 🍑身材:159cm 53kg Gcup 36歲 💡介紹:在夜市賣鹽酥雞的老闆娘,生意這兩年比較差,才想辦法多賺一點。人很豪爽,講話大聲但好相處。胸很大,抱起來很有感覺,做的時候會主動把你的手按在她胸口。 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/1pe6mxurpVFiNDdl #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點 #外送茶 #中出 #大奶 #御姐 #老師 #按摩 #舒壓

❤1

4 Nov 2026, 12:16 UTC79 viewsread 4 November 2026
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‼️咪醬老師驗證優質女生‼️ 🚘地區:#台中 🍺職業:店長 🎀藝名:王琦 🍑身材:160cm 47KG Dup 34歲 💡介紹:很會生活的輕熟女,頭髮卷得漂亮,口紅也從不馬虎。因為想給自己買點好東西才出來。身體很軟,被碰到會輕輕抖一下,裡面溫熱,節奏可以跟著她的呼吸走。 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/1pe6mxurpVFiNDdl #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點 #外送茶 #中出 #大奶 #御姐 #老師 #按摩 #舒壓

4 Nov 2026, 12:16 UTC74 viewsread 4 November 2026
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‼️咪醬老師驗證優質女生‼️ 🚘地區:#新竹 🍺職業:美體師 🎀藝名:媚心 🍑身材:158m 48kg Dcup 37歲 💡介紹:性格開朗,胸軟有彈性,喜歡被用力一點,很有成熟女人被疼愛的感覺。 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/1pe6mxurpVFiNDdl #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點 #外送茶 #中出 #大奶 #御姐 #老師 #按摩 #舒壓

4 Nov 2026, 12:15 UTC89 viewsread 4 November 2026
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‼️咪醬老師驗證優質女生‼️ 🚘地區:#台北/新北/桃園 🍺職業:高端宴會公關 🎀藝名:冰雪兒 🍑身材:166cm 52kg Eup 35歲 💡介紹:平時接高端宴會跟酒會的公關,穿著打扮都很有質感。最近案子變少,想補一點收入才出來兼職。性格爽朗不扭捏,胸豐滿敏感,喜歡邊做邊被摸奶,服務意識很強。 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/1pe6mxurpVFiNDdl #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點 #外送茶 #中出 #大奶 #御姐 #老師 #按摩 #舒

4 Nov 2026, 09:55 UTC136 views3 reactionsread 4 November 2026
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我已經很久沒有這樣穿了😂

❤3

3 Nov 2026, 07:56 UTC249 views1 reactionsread 4 November 2026
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#高雄 #台南 按摩師蔚藍客評 ⭐️總體評分:⭐️⭐️⭐️ 💝 第一印象:大眼方型臉蛋,青春的氣質散發 出成熟的嫵媚。 💃身材曲線:俏麗的髮絲掩藏不住豐滿的上圍 💋服務過程:妹妹的舌尖不斷挑弄吸吮我的肉棒,她的肉體跨坐我的身上不停的扭動,硬 是要讓我堅挺的肉棒在她濕潤的小穴裡上下抽動,淫蕩呼喘尖叫聲與激情碰撞的聲此起彼落 🤫內心悄悄話:此時無聲勝似有聲。 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/1pe6mxurpVFiNDdl #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點…

❤1

3 Nov 2026, 05:44 UTC219 viewsread 4 November 2026
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#台北 #新北 #桃園 氣質櫃姐人妻輕熟女珆珆 喜歡這款的閉眼約😘適合多節起約 ⭐️總體評分: 5星 💝第一印象: 保養很好的輕熟女,溫柔內斂,動如脫兔 🤩身材曲線: 目測約160-165,體重45-50,D奶,水蛇腰 🔥服務過程: 進門就熱情的打招呼,收完水費,我才剛收好錢包,妹妹的衣服也脫的差不多了😂,會牽手一起去洗刷刷,提供水中音樂課,上床開始鍍膜,舌頭靈活,而且情緒價值給滿,奶頭和鮑魚敏感,沒幾下就濕了,女上後換後入,然後切回傳教士,順利出水,還有一點時間,抱著休息一下,舒服 📕內心悄悄話: 服務細心,療癒感十足,適合長節,慢慢溫存,讓人很放鬆的妹妹 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:…

1 Nov 2026, 15:43 UTC300 views0 reactionsread 4 November 2026
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#台中 超商店員晶晶遲來的客評來囉 微微肉 互動感很好的年輕嫩妹又是哪位同學的最愛呢🤭 和她約會分分鐘讓你回到大學時最初心動的感覺❤️ ⭐️總體評分: (1-5星)4.5 💝第一印象: (氣質、臉蛋)清純,乾淨 🤩身材曲線: (身高/體重/上圍,最真實的視覺感受)15x/5x/D,真的飽滿 🔥服務過程: (配合度、技巧、有無特殊驚喜、整體氛圍)一開門,看到妹妹站在那裡,小肉肉、青春乾乾淨淨,進門後,就自動寬衣解甲,看到👀大白兔蹦了出來,忍不住握了握,真的要二手才夠。按接著沖了澡,還主動接我泡了一下澡,上床後,無套口,妹妹豐唇真是柔軟,非常舒服,之後正戲開始,換了各個姿勢,妹妹很敏感,嗯嗯個不停,忍不住就全給妹妹了。 📕內心悄悄話: (當下最真實的感受,想對大家說的話)小肉肉抱著,撞著最舒服,有回到初戀的感覺 ✈️ mijiang.tw 每日抽獎 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 💌頻道:@mi97mi …

10 Aug 2026, 15:25 UTC314 views7 reactionsread 12 August 2026
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一個人洗澡嚕不到後背怎麼辦?😈🥵

❤7

10 Aug 2026, 12:54 UTC313 viewsread 12 August 2026
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‼️咪醬老師驗證優質女生‼️ 🚘地區:#高雄/台南 🍺職業:OL 🎀藝名:糖果 🍑身材:157cm 48kg Fup 30歲 ⛔️本人照,勿外流。 ⛔️問問哥 ⛔️放鳥 🔥註冊論壇送絲襪🔥 💌頻道:@mi97mi ⌨️實戰日誌:@mi23642 🎯抖內頻道:https://t.me/+lJXSEJZz8zczYWY1 🍾TG:@ajianglaoshi 🍾LINE:339437 🍾Gleezy:mimi 👠一鍵加入所有頻道 https://t.me/addlist/ObduWMpAPmQ3MTY9 #熟女 #人妻 #輕熟女 #美魔女 #大奶 #巨乳 #外約 #個工 #定點 #外送茶 #中出 #大奶 #御姐 #老師 #按摩 #舒壓

Showing the 12 most recent of 37 posts we hold for @mi97mi. 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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“熟女濕樂圓🧚🏻‍♀️【咪醬老師】” (@mi97mi), 5,819 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/mi97mi.

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.