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Channel

熱姐 - 看我本領🔥

@catislight

On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

3,852subscribers

+227 since we began measuring on 31 August 2026

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

Register entry

Telegram ID-1001434477982
TypeChannel
Username@catislight
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded31 August 2026
Last confirmed live16 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/catislight

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

3,6243,8523,73831 August 2026 — 3,625 subscribers31 August 2026 — 3,624 subscribers3 September 2026 — 3,675 subscribers8 September 2026 — 3,744 subscribers12 September 2026 — 3,806 subscribers16 September 2026 — 3,852 subscribers31 August 202616 September 2026
6 measurements spanning 16 days, net +227. 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 3,590–3,886 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 09:373,852+46
12 Sept 2026, 23:013,806+62
8 Sept 2026, 16:553,744+69
3 Sept 2026, 19:203,675+51
31 Aug 2026, 05:033,624-1
31 Aug 2026, 02:153,625first reading

Engagement

20 posts held, back to 22 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
9.99%
avg views ÷ 3,852 subscribers
Avg views / post
385
20 posts measured
Reaction rate
0.375%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 8 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held20 (22 August 202628 August 2026)
Views total7,694
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Aug 2026, 02:15 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

12 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
758.3%
🥰216.7%
👍18.33%
🔥18.33%
😢18.33%

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 8 of the 20 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 August 2026 to 28 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

23 Aug 2026, 10:28 UTC487 viewsread 31 August 2026

世錦賽羽毛球心水 男單 法國 拉尼爾 -3.5 輕微分析: 本年度可謂法國羽毛球的收成之年。 2025年末,法國男單好手波波夫破天荒奪得年終賽冠軍;今日稍早賽程,法國混雙更歷史性摘下首個世錦賽金牌。種種成績顯示,法國選手在技術層面已逼近、甚至部分超越亞洲頂尖水平。 今日這場對決,日本選手奈良岡功大被外界譽為「四方之鬼」、「拉吊之王」,過往更有單球來回接近百拍的紀錄,防守與相持能力極強。 而法國選手拉尼爾則以年輕積極的打法見稱,殺球上網結合出色的身體素質(速度與力量兼備),往往能打亂對手節奏。不過年僅約20歲的他,穩定性仍不及老將,失誤偏多,亦存在爆冷空間。 關鍵分野在於體力。 若拉尼爾能維持一貫強勢進攻節奏,奈良岡恐怕難以招架。與其博日本球員在耐力上佔優,我更傾向博拉尼爾垂青世界冠軍頭銜的動力。 結論:法國 拉尼爾 -3.5

23 Aug 2026, 09:17 UTC383 views2 reactionsread 31 August 2026
Photo

與分析大致相近, 恭喜法國隊🔥🔥 榮登 史上第一隊混雙 世界第一

🥰2

23 Aug 2026, 09:15 UTC331 views1 reactionsread 31 August 2026

世錦賽羽毛球心水 1720 女雙 中國 -7.5 輕微分析: 譚劉與李白近6次交手錄得5勝1負。 今場可謂女雙界「最強之劍」對「最強之盾」的對決。 過去6天,譚劉與李白雙方合計僅輸過一局,狀態俱佳。 但從身形條件來看,中國組合佔有明顯優勢。加上譚劉積極進攻的打法,防守一方往往只能處於被動。譚劉的進攻威脅已直逼男雙水準,包括雙腳起跳反手下壓斜線等高難度技術,這些在女子賽場上並不常見。 結論: 矛與盾的對沖之中, 我選擇「矛」—— 中國 -7.5。

👍1

Showing the 12 most recent of 20 posts we hold for @catislight. 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

發 記 馬 會 出 糧 🀄️|日日贏馬會 ⚽️
@apptips · 26,260
Telegram ranks this channel #54 of 83 here — alongside 82 others — read 18 September 2026
阿木足球心水實錄✍🏻
@armu_28 · 28,723
Telegram ranks this channel #61 of 81 here — alongside 80 others — read 18 September 2026
賭俠2026•化骨龍投注紀錄
@dargon_faii · 24,267
Telegram ranks this channel #75 of 81 here — alongside 80 others — read 18 September 2026
獨立媒體 inmediahk.net
@inmediahknet · 39,025
Telegram ranks this channel #77 of 82 here — alongside 81 others — read 31 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“熱姐 - 看我本領🔥” (@catislight), 3,852 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/catislight.

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.