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Channel

脆弱時間到⌛️ 登神狗頭Tiff黨與狗立入禁止

@Ilovekeung

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

6,027subscribers

+12 since we began measuring on 28 August 2026

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

Register entry

Telegram ID-1001853499141
TypeChannel
Username@Ilovekeung
Description(登神狗頭Tiff黨與狗立入禁止)毒糖惡行📚暨鏡仔澄清圖書館 🔴毒糖惡行 -持續更新 先睇Pin 後search #no. pin1同2係目錄 🟢鏡仔澄清兼平反, 不定期更新,睇pin3
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live7 November 2026
Measurements held16
Confirmed unchanged2 times, most recently 7 November 2026
On Telegramt.me/Ilovekeung

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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 the other topics.

Growth

6,0056,0326,018.528 August 2026 — 6,015 subscribers28 August 2026 — 6,015 subscribers31 August 2026 — 6,013 subscribers2 September 2026 — 6,016 subscribers7 September 2026 — 6,014 subscribers11 September 2026 — 6,011 subscribers15 September 2026 — 6,005 subscribers19 September 2026 — 6,013 subscribers29 September 2026 — 6,023 subscribers6 October 2026 — 6,031 subscribers18 October 2026 — 6,032 subscribers22 October 2026 — 6,028 subscribers25 October 2026 — 6,027 subscribers28 October 2026 — 6,032 subscribers31 October 2026 — 6,028 subscribers3 November 2026 — 6,027 subscribers6,02728 August 20263 November 2026
16 measurements spanning 68 days, net +12. 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 6,001–6,036 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 23:306,027-1
31 Oct 2026, 18:086,028-4
28 Oct 2026, 15:196,032+5
25 Oct 2026, 08:316,027-1
22 Oct 2026, 00:566,028-4
18 Oct 2026, 10:566,032+1
6 Oct 2026, 00:366,031+8
29 Sept 2026, 01:406,023+10
19 Sept 2026, 14:006,013+8
15 Sept 2026, 11:006,005-6
11 Sept 2026, 14:016,011-3
7 Sept 2026, 08:396,014-2
2 Sept 2026, 19:546,016+3
31 Aug 2026, 03:196,013-2
28 Aug 2026, 12:386,015no change
28 Aug 2026, 09:306,015first reading

Engagement

36 posts held, back to 21 August 2026 — the 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.

ERR · 30 days
35.7%
avg views ÷ 6,027 subscribers
Avg views / post
2,150
17 posts measured
Reaction rate
0.765%
reactions ÷ views · ER floor
Posts in window
17
of 36 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 5 November 2026
Posts held36 (21 August 2026 – 5 November 2026)
Views total36,579
Reactions total280
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:24 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

Photos
≈6,540
Videos
≈466
Links
≈497

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
16s
Average length
16s

Measured directly from 1 video 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

501 reactions across 34 posts, in 16 distinct kinds. The most used accounts for 50.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣25350.5%
🤮8817.6%
🍾254.99%
😱214.19%
❤163.19%
🌚163.19%
🖕163.19%
🥴132.59%
🤡112.20%
👍91.80%
😢91.80%
👎71.40%
🤷‍♂61.20%
🥱61.20%
😁40.798%
😭10.2%

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 35 of the 36 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 501 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 21 August 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 2 of 17 posts held from the last 30 days (11.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 00:47 UTC≈1,610 views27 reactionsread 5 November 2026
Photo

JackyFan全方位取代Jer 小編:除咗水怪定位 連澳門倒數con都要強行加佢同rover 本身係哥弟加小豬 Mkv 最後要拖新人佢加Rover 2千幾蚊飛你估邊班埋單? 咪又係鏡粉 多咗單位 即係少咗表演時間 :由簽MKD出道即刻收埋女朋友已經唔鍾意佢

🖕16👎7🤣3❤1

4 Nov 2026, 08:40 UTC≈1,900 views9 reactionsread 5 November 2026

突發通知: AK身體不適,今日唔上昂坪叱咤記招 小編:聽講真病

😢9

4 Nov 2026, 00:53 UTC≈2,050 views28 reactionsread 5 November 2026
Photo

😂😂😂kaki老師係俾Stanley 帽 小編:但kaki老師係咪仲做緊Alina傳銷下線 妹豬:好多人唔知kaki老師係大表個ex

🤣26❤2

3 Nov 2026, 05:27 UTC≈2,120 views7 reactionsread 5 November 2026
Photo

價格上漲至2080 糖仲去唔去叱咤?

🤣7

3 Nov 2026, 05:07 UTC≈2,130 views22 reactionsread 5 November 2026

報:eason 同徐濠縈岩岩unfollow 咗黃澤林ig 小編:😂😂😂你哋真係好八卦

🤣22

3 Nov 2026, 00:33 UTC≈2,140 views25 reactionsread 5 November 2026
Photo

投:姜姜又帶耳機開工 小編:有返工已經好好,仲咁多要求

🤣25

2 Nov 2026, 11:18 UTC≈2,170 views17 reactionsread 5 November 2026
Photo

冰嬸又成功打尖 笑死 本身set2個zone 話比排既揀 而家無得揀 姜冰遲黎先上岸去左第2個zone第一排

🤮16❤1

2 Nov 2026, 07:39 UTC≈2,200 views11 reactionsread 5 November 2026

速報:小編認錯baby mirror嘅樣

🤣11

2 Nov 2026, 06:23 UTC≈2,500 views7 reactionsread 5 November 2026
Photo

Cwb 現場:好多糖嬸 小編:2蚊 平日 你唔退休點去到

🤣7

1 Nov 2026, 12:57 UTC≈2,490 views32 reactionsread 5 November 2026
Photo

投:毒冰最後一個zone上台 勁哨牙😌成浸窮酸味飄緊出嚟 小編:😂😂😂屌 花生友:但佢今日有洗頭

🤮29😁3

1 Nov 2026, 09:23 UTC≈2,360 views4 reactionsread 5 November 2026

速報:冰嬸好醜! 陣間睇吓影唔影到相

🤣4

Showing the 12 most recent of 36 posts we hold for @Ilovekeung. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

Channel C TG頻道 🎞
@channelchk · 23,074
Telegram ranks this channel #31 of 72 here — alongside 71 others — read 18 September 2026
全港交通消息
@HK_Traffic_News · 43,652
Telegram ranks this channel #39 of 70 here — alongside 69 others — read 28 August 2026
實時現場新聞直播(及 獨家實時消息)
@realtimenewsbroadcasts · 58,527
Telegram ranks this channel #48 of 60 here — alongside 59 others — read 28 August 2026

This channel appears in 3 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“脆弱時間到⌛️ 登神狗頭Tiff黨與狗立入禁止” (@Ilovekeung), 6,027 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/Ilovekeung.

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.