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Channel

寶島辣妹看板

@hotgirl_tw

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

6,846subscribers

+2,093 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003967255812
TypeChannel
Username@hotgirl_tw
CreatedBetween 1 April 2026 and 26 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/hotgirl_tw

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 why it has no browse page of its own yet.

Growth

4,7536,8465,799.57 August 2026 — 4,753 subscribers7 August 2026 — 4,758 subscribers10 August 2026 — 4,840 subscribers13 August 2026 — 4,957 subscribers16 August 2026 — 5,130 subscribers19 August 2026 — 5,247 subscribers22 August 2026 — 5,348 subscribers25 August 2026 — 5,716 subscribers28 August 2026 — 5,950 subscribers31 August 2026 — 6,151 subscribers4 September 2026 — 6,328 subscribers9 September 2026 — 6,571 subscribers13 September 2026 — 6,736 subscribers16 September 2026 — 6,846 subscribers7 August 202616 September 2026
14 measurements spanning 40 days, net +2,093. 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 4,439–7,160 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 23:566,846+110
13 Sept 2026, 06:006,736+165
9 Sept 2026, 08:386,571+243
4 Sept 2026, 06:016,328+177
31 Aug 2026, 19:456,151+201
28 Aug 2026, 11:145,950+234
25 Aug 2026, 05:135,716+368
22 Aug 2026, 11:325,348+101
19 Aug 2026, 11:465,247+117
16 Aug 2026, 17:455,130+173
13 Aug 2026, 09:154,957+117
10 Aug 2026, 19:384,840+82
7 Aug 2026, 19:384,758+5
7 Aug 2026, 18:464,753first reading

Engagement

11 posts held, back to 26 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 5 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

114 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5850.9%
5144.7%
🤣54.39%

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 10 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 114 reactions 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 26 July 2026 to 11 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

11 Aug 2026, 15:24 UTC≈2,040 views3 reactionsread 12 August 2026
Photo

台灣正妹與男友床戰自拍流出

3

11 Aug 2026, 12:27 UTC≈1,190 viewsread 12 August 2026
Photo

🇹🇼小韻精選|高端外約⏩小韻 小韻茶莊秉持 用心篩選與真誠信任 的原則 每位妹妹都經過多重評估 確保每一次安排都 順利、舒心、安全 ➡️台灣各個行業兼職的女生 不是職業妹 這裡的每一位女孩 都有自己的故事與生活 ➖➖多種類型• 職業可供挑選➖➖ ✅ 學生妹妹 人妻 護理師 櫃姐 ✅ 美腿 OL 校花 絲襪 混血 ✅ 嬌小可愛 氣質 甜美 騷熟女 ✅ 空姐 JKF 藝人 模特 高級伴遊 ⭐ 現金支付 不匯款 不訂金 ⭐ 台灣本土女生兼職 外約旅館 ⭐台北-新北-新竹-台中-高雄-台南 ⭐營業時間: 𝟭0:0𝟬-𝟬1:𝟬𝟬 ➡️新手約妹必看 ➡️北中南選妹💕 點擊加入小韻~ 詳細了解更多吧 ⭐ Gleezy:tzy519 ✈️ telegram: @yun02519 💗 選妹加入:https://t.me/dsa3568 ➡️喝茶班表:https://c.gleezy.to

10 Aug 2026, 15:14 UTC≈3,650 views10 reactionsread 12 August 2026
Photo

台灣大波妹玩TG自拍短片流出

👍82

8 Aug 2026, 15:57 UTC≈5,000 views12 reactionsread 12 August 2026
Photo

台灣模特兒全裸私影流出

👍75

7 Aug 2026, 15:56 UTC≈5,900 views7 reactionsread 12 August 2026
Photo

台灣Mazda銷售與人夫爆房自拍流出

5👍2

6 Aug 2026, 15:01 UTC≈6,770 views9 reactionsread 12 August 2026
Photo

台灣巨乳女模古伊娜下海拍國產AV

👍54

4 Aug 2026, 17:00 UTC≈5,530 views19 reactionsread 8 August 2026
Photo

台灣巨乳美睫師Chloe Lin床片自拍流出

17👍2

1 Aug 2026, 15:45 UTC≈7,510 views13 reactionsread 8 August 2026
Photo

台灣清純主播被男友調教成小母狗

👍103

28 Jul 2026, 15:48 UTC≈10,400 views14 reactionsread 8 August 2026
Photo

台灣人氣網紅佞佞被騙全裸試鏡

👍104

26 Jul 2026, 06:17 UTC≈10,500 views19 reactionsread 8 August 2026
Photo

國光女神梁云菲39秒床片流出 片中一直叫比金剛還爽

👍14🤣5

Showing the 11 most recent of 11 posts we hold for @hotgirl_tw. 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.

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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“寶島辣妹看板” (@hotgirl_tw), 6,846 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/hotgirl_tw.

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.