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Channel

🔞爆漿🚗暗黑台妹客評專區💬

@tw707_9

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

366subscribers

+3 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-1002099232519
TypeChannel
Username@tw707_9
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/tw707_9

Growth

3603663637 August 2026 — 363 subscribers7 August 2026 — 363 subscribers16 August 2026 — 360 subscribers24 August 2026 — 362 subscribers30 August 2026 — 366 subscribers7 August 202630 August 2026
5 measurements spanning 24 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 359–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 16:14366+4
24 Aug 2026, 06:49362+2
16 Aug 2026, 04:54360-3
7 Aug 2026, 22:37363no change
7 Aug 2026, 01:01363first reading

Engagement

7 posts held, back to 29 June 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
18.7%
avg views ÷ 366 subscribers
Avg views / post
68.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 7 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held7 (29 June 20266 August 2026)
Views total137
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 01:01 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 3 of the 7 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 7 most recent posts we hold, published 29 June 2026 to 6 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

6 Aug 2026, 11:46 UTC59 viewsread 7 August 2026
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來啦來啦~擁有小模身材的miki心得來啦 #客評 #北部客評 miki 173/46/B+/25 身高纖細,聲音甜又超會撒嬌 臉蛋/年齡: 小模等級/25 頭髮(顏色/長度): 漂亮的深褐色長髮,帶點微捲,長度剛好在腰部左右飄 身高/體重/罩杯: 173/46/B+ 今日穿著: 俏麗的短裙,配上寬鬆的小罩衫,可以直接牽出去逛街約會吃晚餐的那種 互動/服務/過程: 身材纖細溫柔可人的,一進門就讓我瞬間暈到分不清東南西北,一陣手忙腳亂中我人就被推進浴室沖香香,我主動發動的戰鬥妖姬馬上就迎戰,充滿誘惑的迷人香味又讓我直接失神,等到我回過神早已經被KO完畢,整個過程夢幻到不行。 兩個小時內激戰三回合,哪有妹子剛認識沒多久就約PK的?這樣算不算犯規啊 是/否回約: 當然要回約啊,不約對不起自己吧 〈偶爾兼職 可接預約〉 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: 𝒕𝒘𝟐𝟐𝟗𝒗 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: tw923 🌐𝒍𝒊𝒏𝒆:𝟕𝟕𝟏𝟓𝟓𝟒 🌐𝑻𝑮: @t

2 Aug 2026, 05:39 UTC78 viewsread 7 August 2026
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#客評 #中部客評 點點 160.C.41.25歲 姓名:問甜恩 身高:158-161 左右 胸部:B 體重:40-43 年紀:24-26(應該啦) 過程:門一打開,是一個瘦瘦小小的女孩,穿著短裙和小可愛搭一件薄外套,第一眼給人蠻清爽的感覺。簡單寒暄之後就去洗澡清潔了。 回到床上原本還在閒聊,結果聊到一半她突然主動開始摸,然後呼吸慢慢變重,自己就趴下去吹了。要說的話手技算還好,但嘴巴真的很厲害,溫熱又很會吸,節奏抓得很好。 後來她拿了旅館那個奇妙的綠色套套,幫我戴好之後直接就騎上來。搖沒幾下突然說沒力氣了,直接趴在我身上叫我動,我就邊聽她喘氣邊調整節奏,抓著她的屁股用力輸出,結果一下子她就高潮了。 她稍微休息了一下,自己又坐起來轉方向準備背對騎乘,試了幾個角度發現腿又軟了,我就叫她躺好我來動就好。她說喜歡被用力撞,我就壓著她一直輸出沒停。雖然她不是那種很容易高潮的女生,但前前後後總共來了四次,最後繳械的時候她全身都在抽搐,臉紅

23 Jul 2026, 10:13 UTC156 views0 reactionsread 7 August 2026
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暑假新妹試車【妍妍】這是一個隱藏妹 顏值很高 甜恩私下給兩個熟客推薦試車了 #客評 #北部客評 妍妍 162.C.21歲 體重:勻稱偏瘦,比例很好 過程: 敲門那一刻我其實沒抱太大期待,結果門一開差點愣住——白膚、大眼、黑長直,穿著小背心搭熱褲,身材線條很乾淨,淡淡體香飄過來,整個房間氛圍直接變得不一樣。 妍妍說自己有在練瑜珈跟偶爾重訓,身體柔軟度真的很有感,而且妹妹很會帶氣氛,完全不會冷場。 洗澡的時候就開始調情了,上床之後更是火力全開——吹的技术真的很厲害,不是那種應付型的,是有節奏有感情的那種,讓人很快就進入狀態。 進去的時候嚇一跳,真的緊,是那種包覆感很強烈的緊,連動幾下她就開始喘。中間換姿勢她突然倒抽一口氣說「有點痛」,我問要不要慢一點,她竟然回:「不要停、我喜歡這種感覺。」 聽到這句話誰還忍得住,直接認真開幹,把她從床頭頂到床尾,全程無冷場。 結束後兩個人癱在床上喘,她主動靠過來抱抱,撒嬌說「下次不准隔太久才來找

15 Jul 2026, 06:24 UTC173 views1 reactionsread 7 August 2026
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臨時換人也沒在怕 相信甜恩就對了 真的頂到肺 #客評 #北部客評 以柔 163.E.21歲.46kg 過程: 原本想約另一個妹,結果甜恩說今天來了一個「極品隱藏版」,說錯過會後悔。猶豫三秒還是衝了,反正信甜恩沒吃過虧。 妹妹一進門就先甜甜自我介紹,聲音很軟;去沖澡的時候仔細一看,身材真的有夠誇張,腰超細但屁股很有肉,胸部是那種很自然的木瓜奶,膚況也很好沒有暗沉。 一開始稍微有點尷尬,但妹妹很會帶氣氛,聊沒幾句就笑出來了;兩次都是吹到一半主動騎上來,節奏掌控得很好,完全不用你動,而且是真的有投入的那種,不是應付交差。 總結: 顏值高、身材辣、配合度又頂,甜恩果然不會讓我失望。 〈偶爾兼職 可接預約〉 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: 𝒕𝒘𝟐𝟐𝟗𝒗 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: tw923 🌐𝒍𝒊𝒏𝒆:𝟕𝟕𝟏𝟓𝟓𝟒 🌐𝑻𝑮: @t229v ~~~~~~~❤️~~~~~~~ 🌐論壇 https://www.ps536.com

1

10 Jul 2026, 11:25 UTC132 viewsread 7 August 2026
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#客評 #台中客評 冰糖 160.C.22歲.46kg 身高:160 cm 年龄:22 岁 体重:46 kg 罩杯:C+ 過程:漂亮的臉蛋,淺淺的淡妝,屬於清純大學生的打扮,帶著甜甜的笑容,性格開朗好聊,身材有胸有腰身,敏感的身體,輕輕的挑逗一下就水直流,插進去包覆感十足,搭配著她的真實不做作的反應,整個感覺非常滿意,好久沒遇到這麼好品質的了,唯一不足的就是服務技巧比較生疏需要好好的調教 對甜恩的评价: 越来越爱甜恩了。以后有这种好货,我绝对还要第一个上。 〈偶爾兼職 可接預約〉 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: 𝒕𝒘𝟐𝟐𝟗𝒗 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: tw923 🌐𝒍𝒊𝒏𝒆:𝟕𝟕𝟏𝟓𝟓𝟒 🌐𝑻𝑮: @t229v ~~~~~~~❤️~~~~~~~ 🌐論壇 https://www.ps536.com

7 Jul 2026, 07:06 UTC136 views1 reactionsread 7 August 2026
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#客評 #高雄客評 芷盈 160.D.23歲.45kg 妹妹很親切,一進門就微笑打招呼,完全不會尷尬,一起去洗澡時還會幫忙搓背☺️ 到床上後發現她手技跟口技都超水準,吞吐節奏掌握得很好,好幾次差點被弄出來😍 裡面很緊很熱,包覆感超強,抽插起來真的很有感觸~ 自己平時算耐戰型,沒想到被她搞到連出水兩次,真的有被榨乾的感覺🤤 皮膚白嫩滑順,摸起來像嬰兒一樣,嘴唇跟髮絲都香香的,整體女友感滿分🥰 〈偶爾兼職 可接預約〉 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: 𝒕𝒘𝟐𝟐𝟗𝒗 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: tw923 🌐𝒍𝒊𝒏𝒆:𝟕𝟕𝟏𝟓𝟓𝟒 🌐𝑻𝑮: @t229v ~~~~~~~❤️~~~~~~~ 🌐論壇 https://www.ps536.com

1

29 Jun 2026, 05:57 UTC152 viewsread 7 August 2026
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IG小網美 身材火辣誘人 155.C.22.42kg 姓名:問甜恩?? 身高:155 胸部:C很軟好揉 體重:41-43 年紀:22 過程:聲音超級嗲,身體軟綿綿的,吹很久不喊停不會停的,超級乖,配合度100分,有種在欺負小朋友的感覺,滿滿征服感 對甜恩的評價:懂推 〈偶爾兼職 可接預約〉 ig網美客評1 ig網美客評2 ig網美客評3 ig網美客評4 ig網美客評5 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: 𝒕𝒘𝟐𝟐𝟗𝒗 ⭐𝑮𝒍𝒆𝒆𝒛𝒚: tw923 🌐𝒍𝒊𝒏𝒆:𝟕𝟕𝟏𝟓𝟓𝟒 🌐𝑻𝑮: @t229v ~~~~~~~❤️~~~~~~~ 🌐論壇 https://www.ps536.com

Showing the 7 most recent of 7 posts we hold for @tw707_9. 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 — 225,454 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 3 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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“🔞爆漿🚗暗黑台妹客評專區💬” (@tw707_9), 366 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/tw707_9.

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.