Crypto & trading — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
33 measurements spanning 43 days, net -74. 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 13,288–13,420 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:00
13,329
+1
16 Sept 2026, 03:00
13,328
-5
14 Sept 2026, 09:19
13,333
+30
12 Sept 2026, 15:40
13,303
-5
10 Sept 2026, 14:19
13,308
-8
7 Sept 2026, 10:42
13,316
-13
4 Sept 2026, 16:59
13,329
-1
3 Sept 2026, 01:15
13,330
-8
1 Sept 2026, 20:05
13,338
-2
31 Aug 2026, 21:04
13,340
-6
30 Aug 2026, 19:23
13,346
+1
29 Aug 2026, 21:52
13,345
-2
28 Aug 2026, 23:05
13,347
+3
27 Aug 2026, 22:58
13,344
-4
26 Aug 2026, 21:34
13,348
-9
25 Aug 2026, 18:19
13,357
-8
24 Aug 2026, 14:43
13,365
-5
22 Aug 2026, 23:34
13,370
-3
20 Aug 2026, 11:35
13,373
-10
19 Aug 2026, 14:22
13,383
first reading
Engagement
85 posts held, back to 28 July 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.2%
avg views ÷ 13,329 subscribers
Avg views / post
2,420
40 posts measured
Reaction rate
0.528%
reactions ÷ views · ER floor
Posts in window
40
of 85 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 36 of 40 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
85 (28 July 2026 – 2 September 2026)
Views total
96,876
Reactions total
462
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:15 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
1,132 reactions across 70 posts, in 15 distinct kinds. The most used accounts for 65.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
736
65.0%
👍
175
15.5%
🔥
77
6.80%
👏
35
3.09%
😱
31
2.74%
🥰
27
2.39%
😭
11
0.972%
💯
10
0.883%
🤔
8
0.707%
🤣
8
0.707%
🍌
4
0.353%
🤯
4
0.353%
👻
2
0.177%
💊
2
0.177%
🕊
2
0.177%
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 71 of the 85 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 1,132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 28 July 2026 to 2 September 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.
🐄 Konnex 포인트 프로그램 진행중
Konnex는 로봇과 AI를 위한 탈중앙 네트워크를 구축중인 프로젝트입니다.
$15M 규모정도 VC들에게 26년1월에 투자받았습니다.
온체인/오프체인 미션 수행하면서, 포인트 모으는방식이며, 포인트 프로그램 참여자에게 자체토큰 $KNX 에어드랍이 받을수있다고 합니다.
월렛 연결하고 SNS 미션이랑 주간 체크인 그리고 테스트넷 미션같은거 조금 하면 되는거 같네요.
$KNX 포인트 프로그램 바로가기
#KOL #개인적인투자
🐄 빗썸 AI 서비스 이용 후기 이벤트 (링크)
빗썸 AI서비스 이용하고 후기 작성하면,
최대 300만원의 비트코인을 주는거 같습니다.
AI 데일리 시황 알림만 설정해도
SURF 5만원 이용권 + 1년 이용권 90% 할인쿠폰 지급한다고 합니다.
참여 한번 해보시면 좋을거같습니다!
*빗썸 서포터는 짤렸지만, 옛정으로 올리는 포스트입니다
열심히 단타치면서 돈복사하다가..
시장금리 슈퍼고금리 시대가 되었을때 (달러약세)
싼 달러를 매수하고 미국 장기채(할인채)와 폭락한 자산 줍줍...
그시기가 언제 올지는 모르겠으나
상당히 오래걸릴거 같아보이네요
그전까지 열심히 단타치면서 돈굴리다
나중에 베짱이모드로 편하게
현금부자의 시대를 즐기고싶어요
국고채 10년물 만기 100일 남은거
한투 전화영업 당함 ㅎㅎ..
표면이율1.5퍼짜리 할인채 4.4퍼에 10억정도만 가져왔네요
같은채권이 신한에서 3.18퍼에 있는거보면 나쁘지않는거 같습니다.
이렇게 산 국고채는 국내증권사 주식선물 증거금으로 쓰일 예정
표면이율 낮은 할인채 사는게 세금에 있어서 개꿀이라 좋습니다.
+ 국선 하시는분들 증거금50%는 채권대용하시면 95-98% 인정해줍니다. 잘 활용하면 좋은거 같네요.
❤12💯1
Showing the 12 most recent of 85 posts we hold for @c0wfarm. 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.
Posts edited after publishing
@c0wfarm edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
2 September 2026
Most recent edit
2 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“흑우냠냠의 흑우농장” (@c0wfarm), 13,329 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/c0wfarm.
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.