18歲極品小隻馬⤵️點擊看資料 🙍🏻♀️小慈 19歲 157/40/B 鄰家幼齒的可愛妹妹~騷穴超緊!自制力不夠的可能會直接繳械! 服務比較被動~但是好在配合度高且很有女友fu~ but~~這也不失為年輕學生的一種特色~ 想要體驗這種風格的哥哥 快來敲蜜桃預約唷😘 #南部客評 #高雄客評 客評詳情👀 t.me/mitao786/725

Channel
工讀生臨時班👩🎓
@tao_student
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
79subscribers
+8 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003928285281 |
|---|---|
| Type | Channel |
| Username | @tao_student |
| Created | Between 1 April 2026 and 26 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/tao_student |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 18:48 | 79 | +1 |
| 22 Aug 2026, 16:18 | 78 | +2 |
| 14 Aug 2026, 17:07 | 76 | +5 |
| 9 Aug 2026, 23:16 | 71 | no change |
| 8 Aug 2026, 00:31 | 71 | first reading |
Engagement
12 posts held, back to 26 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 75.5%
- avg views ÷ 79 subscribers
- Avg views / post
- 59.7
- 6 posts measured
- Reaction rate
- 3.31%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 12 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 3 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 12 (26 July 2026 – 9 August 2026) |
| Views total | 358 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 23:16 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
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 3 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 4reactions 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 26 July 2026 to 9 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
📌給第一次認識蜜桃的朋友們 ❤️ 其實在線上認識一個人、選擇一個安排,本來就不是一件容易的事情。 因為隔著手機螢幕,大家看不到蜜桃的表情,也不知道蜜桃做事的方式,所以會有疑問、會想確認,這些蜜桃都可以理解。 畢竟現在網路資訊很多,每個人都會說自己最好、自己最可靠,但最後真正留下來的,不是靠幾句話,而是靠一次次累積出來的信任。 蜜桃也一直覺得,介紹不是把話講得越滿越好。 如果只是為了讓你當下決定,什麼都可以說得很漂亮,那其實很簡單。 但蜜桃更在意的是,當你真正選擇相信我、把需求交給我的時候,我能不能對得起這份信任。 所以我一直希望給大家的是比較真實的溝通。 我知道大家會比較、會觀察、會想確認,這都是正常的。 但如果你已經選擇來找蜜桃,也希望可以給蜜桃一點基本的信任❤️ 因為很多事情,不是在聊天裡面講多少就能證明,而是在實際安排、實際感受之後,慢慢知道這個人值不值得相信。 蜜桃不敢說自己永遠不會出問題,畢竟任何安排都…
❤2
今天88節~ 蜜桃這邊全場消費一律88折‼️ 今天有大哥來找蜜桃安排放鬆一下嗎~
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❤1
今日更多資訊 請看⤵️ https://t.me/mitao855
❤1
聲音柔柔的,外柔內騷個性😈 撒嬌嬌喘嗲嗲的,互動自然又貼心,俏皮好配合☺️ 是那種一聊天就讓人放鬆,想多相處點的女孩 樂樂:158 D 47 19歲 #中部 #台中推薦 💰12K一節 ㊙️ 預約諮詢⤵️ 蜜桃LINE:nyum7 蜜桃Gleezy:mitao85 蜜桃Telegram: @mitao869 台灣桃花源總群指引💘 @T_ttzy
Sticker, posted without a caption
7月最後一天了~ 蜜桃這個月還差蠻多 有大大來幫忙一下嗎 蜜桃給你超划算的福利優惠及幾個
鄰家青春學妹!為了買名牌包悄悄兼職。 舞蹈系出身,肢體柔軟度好到讓人驚豔! 種高難度姿勢都能完美配合 雙腿能直接開到最大任你後入深撞。 被撞到高潮還會噴水! 欣馨:156 C 43 19歲 #南部 #高雄推薦 💰6K一節 ㊙️ 預約諮詢⤵️ 蜜桃LINE:nyum7 蜜桃Gleezy:mitao85 蜜桃Telegram①: @MM6483 蜜桃Telegram②: @mitao869 台灣桃花源總群指引💘 @T_ttzy
童顏巨乳小騷貨~⤵️點擊看資料 韶安 20歲 159/44/E 看到客評來預約~當然也沒有讓大哥失望~結束之後還要回約呢! 韶安真的越來越騷了,快來體驗已經找到做愛技巧的韶安的招式,就看你能不能接得住了XD #北部客評 #台北客評 #新北客評 客評詳情👀 t.me/mitao786/658
福利簽到群 快快加入每日[簽到]領取福利 https://t.me/+6HY5aU0HJHM3OTNh
甜美鄰家愛笑學生妹,小隻膚白身材佳😍 眼睛漂亮會放電,最愛吃肉棒,很會舔👅 性技還略帶青澀,但勝在年輕好學好配合 琪林 160 47 D 20歲 #北部 #台北推薦 #新北推薦 💰8K一節 ㊙️ 預約諮詢⤵️ 蜜桃LINE:nyum7 蜜桃Gleezy:mitao85 蜜桃Telegram①: @MM6483 蜜桃Telegram②: @mitao869 台灣桃花源總群指引💘 @T_ttzy
Showing the 12 most recent of 12 posts we hold for @tao_student. 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 — 458,744 of 1,627,445entries 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 2 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.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“工讀生臨時班👩🎓” (@tao_student), 79 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/tao_student.
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.