Telegram RegisterThe public register of Telegram

Channel

스크랩 by 훵키클리닉

@funkyclinic

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

3,934subscribers

-7 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001168452602
TypeChannel
Username@funkyclinic
Created16 December 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/funkyclinic

Growth

3,9343,9413,937.56 August 2026 — 3,941 subscribers6 August 2026 — 3,941 subscribers6 August 2026 — 3,940 subscribers9 August 2026 — 3,936 subscribers15 August 2026 — 3,934 subscribers6 August 202615 August 2026
5 measurements spanning 9 days, net -7. 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 3,933–3,942 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 04:043,934-2
9 Aug 2026, 12:413,936-4
6 Aug 2026, 16:273,940-1
6 Aug 2026, 10:473,941no change
6 Aug 2026, 09:543,941first reading

Engagement

18 posts held, back to 9 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
64.2%
avg views ÷ 3,934 subscribers
Avg views / post
2,530
14 posts measured
Reaction rate
0.176%
reactions ÷ views · ER floor
Posts in window
14
of 18 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 10 of 14 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 7 August 2026
Posts held18 (9 July 20267 August 2026)
Views total35,354
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:48 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
46m 29s
Average length
15m 30s

Measured directly from 3 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

67 reactions across 13 posts, in 12 distinct kinds. The most used accounts for 19.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1319.4%
🤬1217.9%
👏710.4%
💯68.96%
😇68.96%
😡68.96%
🤣68.96%
👌57.46%
🤪34.48%
😭11.49%
🤔11.49%
🤯11.49%

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 13 of the 18 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 9 July 2026 to 7 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

7 Aug 2026, 05:02 UTC162 views3 reactionsread 8 August 2026
Forwarded from @guroguru

『“세입자 보호를 위한 제도적 장치가 마련돼 있고, 보유세 인상이 세입자에게 전가되기에는 구조적으로 어려운 측면이 있다”고 해명했다.』 → 역사적으로, 학문적으로 전가가 된다는게 다 증명이 된 이야기인데 '안된다'는 말만 있지 '어떻게' 안되는지에 대한 설명은 일언반구도 없다. https://n.news.naver.com/mnews/article/666/0000118118

🤬3

4 Aug 2026, 06:25 UTC618 views5 reactionsread 8 August 2026
Photo

개정이유: 소득 재분배 효과 제고

🤣3🤬2

4 Aug 2026, 06:23 UTC567 views1 reactionsread 8 August 2026

https://n.news.naver.com/mnews/article/417/0001154185

🤯1

3 Aug 2026, 03:07 UTC≈22,300 views12 reactionsread 8 August 2026
Video

드럼통119님 제작 https://x.com/freeisneverfree

💯6👏5🤔1

27 Jul 2026, 06:30 UTC≈1,130 views4 reactionsread 8 August 2026
Video

https://x.com/d_sekhar_14/status/2081425136817959375?s=46 25일 기준 유튜브 채널 'EBS 지식'에 올라왔던 '열심히 돈 벌어서 망했다 돈 준다고 좋아했는데 나도 모르는 사이에 내 돈이 다 빠져나가고 있던 이유' 영상은 시청할 수 없는 상태다. 영상은 게시 당시 섬네일에 '돈을 뿌려서 정부가 돈을 버는 방법'이라는 문구를 사용했다가 이후 '정부가 돈을 나눠 줬는데 내가 가난해지는 이유'로 변경됐다.

😡31

27 Jul 2026, 00:25 UTC728 viewsread 8 August 2026
Photo

https://www.newsis.com/view/NISX20260724_0003721471 "중랑구 등 일부 중저가 지역에서는 15억원 이하 아파트를 찾는 수요가 한정된 매물에 집중" "최근 서울 집값 상승은 신혼부부 등이 많이 찾는 15억원 이하 중저가 아파트에서 나타나고 있다" "정작 10억원 이하 주택이 안정돼야 하는데 초고가 주택을 규제한다고 해서 15억원 이하 주택까지 안정될지는 의문"

23 Jul 2026, 06:03 UTC≈1,110 views13 reactionsread 8 August 2026
Photo

관상은 사이언스…

🤬73👌3

23 Jul 2026, 05:12 UTC714 views10 reactionsread 8 August 2026
Forwarded from @guroguruPhoto

요즘에 이 채널에서 '도적떼' 얘기를 자주 하고 있습니다. 도적떼 얘기가 괜히 나오는게 아니라 이런 사고방식을 가진 사람들이 생각보다 많이 있기 때문에 그렇습니다. 정신 바짝 차리지 않으면 도적떼에게 당하게 됩니다. 대한민국에서 인간의 평등권이 최대치로 발휘되는 곳은 선관위 투표소의 기표대 안이고 저런 생각을 하는 사람들도 밖에서나 동물 취급을 받지 그 안에서만큼은 똑같이 한 표라는 점을 잊어서는 곤란합니다.

😇6😡31

23 Jul 2026, 01:00 UTC789 viewsread 8 August 2026
Video

https://x.com/iPaulCanada/status/2079981184717652150?s=20

Showing the 12 most recent of 18 posts we hold for @funkyclinic. 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.

Citation-graph rank

Citation-graph rank — 499,062 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“스크랩 by 훵키클리닉” (@funkyclinic), 3,934 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/funkyclinic.

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.