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Channel

北部選妃

@hkahlaj

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

418subscribers

+21 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-1003843245552
TypeChannel
Username@hkahlaj
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live5 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/hkahlaj

Growth

397418407.57 August 2026 — 397 subscribers8 August 2026 — 397 subscribers15 August 2026 — 406 subscribers28 August 2026 — 412 subscribers5 September 2026 — 418 subscribers7 August 20265 September 2026
5 measurements spanning 28 days, net +21. 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 394–421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Sept 2026, 02:18418+6
28 Aug 2026, 16:44412+6
15 Aug 2026, 17:51406+9
8 Aug 2026, 05:50397no change
7 Aug 2026, 15:02397first reading

Engagement

10 posts held, back to 1 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.957%
avg views ÷ 418 subscribers
Avg views / post
4.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held10 (1 August 20268 August 2026)
Views total8
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:50 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

6 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 4 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 6 reactions 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 1 August 2026 to 8 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

8 Aug 2026, 05:31 UTC4 viewsread 8 August 2026
Photo

維娜 160 46 D 20歲 #新竹 #6000一節 #12000兩節 瓜子臉精緻小美女 五官清秀可愛 身材比例均衡 皮膚白嫩 大D奶手感豐滿彈性佳,整體散發甜美又帶點性感的迷人氣質 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

8 Aug 2026, 05:30 UTC4 viewsread 8 August 2026
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火狐 162 45 C 30歲 #雙北 #4500一節 #9000兩節 #買三送一 我要不說誰看的出來她30歲了!保養的超好 本人很好看 身材是很瘦但是很性感~ 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

7 Aug 2026, 05:33 UTC38 viewsread 8 August 2026
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昕彤 160 49 D 24歲 #雙北 #8000一節 #16000兩節 #買三送一 擁有驚人上圍的細腰姊姊 氣質外表配火辣身材 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

6 Aug 2026, 05:34 UTC48 viewsread 8 August 2026
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冰冰 165 48 D 26歲 #新竹 #5000一節 #10000兩節 御姐櫃姐 長腿女神 技術超讚 野性性格 敢玩耐操沒什麼限制 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

6 Aug 2026, 05:32 UTC43 viewsread 8 August 2026
Photo

巧兒 162 48 C 28歲 #雙北 #8000一節 #16000兩節 #買三送一 性感妖豔的妹妹,標準的辣台妹風格, 無抽菸,整體觀感還算乾淨,從洗澡戰到床上再戰到床下 在愛愛方面就沒輸過,只能說一個字「騷」,快來挑戰吧! 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

4 Aug 2026, 06:48 UTC68 views2 reactionsread 8 August 2026
Photo

潔兒 163 46 C 46 30歲 #雙北 #4500一節 #9000兩節 #買三送一 絕色小情婦 氣質OL 可全程無套 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

2

4 Aug 2026, 06:44 UTC68 views1 reactionsread 8 August 2026
Photo

寶華 165 47 D 27歲 #雙北 #6000一節 #12000兩節 護理師 性感迷人 展現成熟韻味 她擁有性感 好身材與溫柔氣質佳 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

1

2 Aug 2026, 10:19 UTC78 views2 reactionsread 8 August 2026
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球球 162 48 E 28歲 #雙北 #5000一節 #10000兩節 #買三送一 在服裝店上班的員工 大奶喜歡 穿緊身的衣服 笑容甜美 服務不制式化 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

2

2 Aug 2026, 10:18 UTC72 views1 reactionsread 8 August 2026
Photo

蔓蔓 165 52 E 26歲 #雙北 #6000一節 #12000兩節 #買三送一 #慾女代表 奶大會搖 超會騎 敢玩不冷場 全開放配合高 直接讓你爽翻天 適合老司機進階體驗! 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

1

1 Aug 2026, 05:34 UTC80 viewsread 8 August 2026
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夏天 162 48 D 22歲 #雙北 #8000一節 #16000兩節 #買三送一 童顏巨乳 極品尤物 胸部又挺又軟 奶炮時晃動超誘人 身材火辣 下面水多又會吸 真的超頂 👉北部看照👈 👉中部看照 👈 👉南部看照 👈 ❤️綜合客評諮詢 ❤️紅牌諮詢 ❤️琪琪的生活日常 👉諮詢 聊天入口 LINE:77buyao Gleezy:qqzc888 Gleezy 頻道:https://c.gleezy.top/bnuU5gDE 選妃網站:https://qf7878.weebly.com

Showing the 10 most recent of 10 posts we hold for @hkahlaj. 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 4 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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“北部選妃” (@hkahlaj), 418 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/hkahlaj.

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.