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Channel

妲己轉世@🌈彩虹

@kelly587642

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

193subscribers

+56 since we began measuring on 1 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003463195032
TypeChannel
Username@kelly587642
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 September 2026
Last confirmed live11 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/kelly587642

Growth

1371931651 September 2026 — 137 subscribers1 September 2026 — 137 subscribers2 September 2026 — 147 subscribers11 September 2026 — 193 subscribers1 September 202611 September 2026
4 measurements spanning 10 days, net +56. 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 129–201 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 01:37193+46
2 Sept 2026, 07:23147+10
1 Sept 2026, 11:30137no change
1 Sept 2026, 11:15137first reading

Engagement

8 posts held, back to 1 May 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
33.5%
avg views ÷ 193 subscribers
Avg views / post
64.6
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 8 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 31 August 2026
Posts held8 (1 May 202631 August 2026)
Views total323
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 11:30 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.

What this channel posts

Video runtime
1m 02s
Average length
31s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 8 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 1 May 2026 to 31 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

31 Aug 2026, 02:31 UTC62 viewsread 1 September 2026
Photo

運動場:古代風中西合併優雅溫馨 運動同伴:妲己轉世@KeIIy。 評分相貌:A版張䂀雯身材高挑5.7:服務:溫柔體貼手勢蕭功一流。 過程開門看到妲己一身黑色長晚裝露半胸露背眼睛發光女人的妖豔高貴韻味都在她身上進房間眼睛更是一亮和視頻一樣一張K大龍床紅色紗幔燈光照亮整個單位好乾淨好有feel室內有大浴缸水床情趣凳我選了水床nuru條女先一起漱口清洗乾淨床叫我趴底做背先一雙柔軟修長的雙手在我的屎眼春袋柔走跟住一雙柔軟大波在我Kissass 推動到背在到雙腳在用她一雙柔軟的雙腳在我股間柔走指尖也一起輕掃股和蛋在轉身眼前一亮36D大車燈大飽眼福還是青筋波

29 Aug 2026, 00:30 UTC69 viewsread 1 September 2026
Photo

好評:Kelly各方面都好正,場景設計/服務款式,都係心機嘢。啲衫好靚,個人仲靚,堅波 🥰皮膚勁滑,全身都係敏感源泉,充滿視覺刺激,Kelly熱情奔放,上下口都令男人舒服到暈。絕對添食首選。

27 Aug 2026, 03:54 UTC48 viewsread 1 September 2026
Photo

姐姐的誘、身材同相片一樣 水床nuru 非一般的體驗 不停的官能刺激 環吹手口並用 忍唔住要係水床同姐姐先做一次 按摩到位、又再一次被姐姐的口技搞到升旗,再做一次😍😍

26 Aug 2026, 03:21 UTC54 viewsread 1 September 2026
Photo

姐姐的誘、身材同相片一樣 水床nuru 非一般的體驗 不停的官能刺激 環吹手口並用 忍唔住要係水床同姐姐先做一次 按摩到位、又再一次被姐姐的口技搞到升旗,再做一次😍😍

25 Aug 2026, 03:06 UTC90 viewsread 1 September 2026
Photo

今日難得休息 於是約左Kelly,入到去就見到Kelly,真人同視頻一樣 樣靓身材好 一上來就比個波餅我食 ,仲好貼心咁比支水飲。上來前未捻好邊玩個plan,Kelly就帶我熟悉下環境,介紹下服務,於是就選左水床nuru。 P1:開始先簡單沖水,然後趴上水床開始上沐浴露幫我慢慢洗,洗得好仔細,洗完過水上nuru油 一邊滑一邊rpp r細佬,轉身繼續搞前面 磨全身 波推夾腸仔 腳交 爽到差點走火。 P2:按摩環節就唔多講了,夠力水,全身松晒。 P3:先來開車,車到咁上下就開始錫lin頭,再來展示吹功,條脷好靈活识得打轉,含細佬吸袋底,细佬比距啜到雪雪聲 帝王般享受,吹得差唔多Kelly就話要比妹妹享受下 所以直入正題上套開波,先女上一邊車一邊抽插,然後食下波餅補鈣 勁有女友feel,之後轉男上,揸住對大波抽插一輪,再拎起對長腿夾緊邊錫邊插,好似av咁太刺激,所以好快就派彩了,事後一齊沖涼傾下计,交底家用再來個吻別走人。

23 Aug 2026, 05:36 UTC85 views0 reactionsread 1 September 2026
Photo

尖沙咀#高端私人公寓#真人照片視頻實地拍攝#42寸大长腿#36G天然巨乳Q彈#饅頭鮑肥美多汁收陰🐔按摩浴缸#日本情趣凳#水床nuru#吸精#玉手观音#p3#簫后服務一流#戰鬥格歡迎挑戰#宫廷风格💃💃💃 混血儿彩虹 妲己转世 预约入口 https://t.me/kelly587642 Tel:852-91644968

4 May 2026, 03:15 UTC423 views1 reactionsread 1 September 2026

A餐:日本情趣凳+抓龙筋+水中萧+环保吹+全套1小时=900 B餐:日式水床露露+擦背+抓龙筋+脚交+环保吹+全套1小时=900 C餐:泰式按摩+推油+抓龙筋+推前列腺+漫游全身+柔情扫股+环保吹+全套1小时=900 D餐:艳舞欣赏+高级晚装+性感睡衣+各式制服+唯美婚纱+旗袍+格式👠+水中萧+环保吹+全套1小时=900 E餐:脚色扮演+各式服装同上+水中萧+环保吹+全套1小时=900 F餐:90分钟A餐到G餐选两个项目=1600 J餐:120分钟A餐到E餐选三个项目浴缸要提前放水=2000 K餐:過夜5000

1

1 May 2026, 10:42 UTC405 viewsread 1 September 2026
Photo

尖沙咀#高端私人公寓#真人照片視頻實地拍攝#42寸大长腿#36G天然巨乳Q彈#饅頭鮑肥美多汁收陰🐔按摩浴缸#日本情趣凳#水床nuru#吸精#玉手观音#p3#簫后服務一流#戰鬥格歡迎挑戰#宫廷风格💃💃💃 混血儿彩虹 妲己转世 预约入口 https://t.me/kelly587642 Tel:852-91644968

Showing the 8 most recent of 8 posts we hold for @kelly587642. 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 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.

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

“妲己轉世@🌈彩虹” (@kelly587642), 193 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/kelly587642.

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.