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Channel

호그니엘

@hogniel

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

15,176subscribers

+17 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001301601966
TypeChannel
Username@hogniel
Created18 June 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held13
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/hogniel

Growth

15,15215,17615,1646 August 2026 — 15,159 subscribers6 August 2026 — 15,159 subscribers6 August 2026 — 15,160 subscribers7 August 2026 — 15,152 subscribers8 August 2026 — 15,158 subscribers9 August 2026 — 15,162 subscribers10 August 2026 — 15,152 subscribers11 August 2026 — 15,154 subscribers12 August 2026 — 15,156 subscribers14 August 2026 — 15,154 subscribers15 August 2026 — 15,168 subscribers16 August 2026 — 15,170 subscribers17 August 2026 — 15,176 subscribers6 August 202617 August 2026
13 measurements spanning 12 days, net +17. 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 15,148–15,180 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 23:5115,176+6
16 Aug 2026, 21:4815,170+2
15 Aug 2026, 17:4315,168+14
14 Aug 2026, 03:0615,154-2
12 Aug 2026, 17:2715,156+2
11 Aug 2026, 16:2315,154+2
10 Aug 2026, 16:1315,152-10
9 Aug 2026, 17:0215,162+4
8 Aug 2026, 18:1815,158+6
7 Aug 2026, 15:4515,152-8
6 Aug 2026, 14:0015,160+1
6 Aug 2026, 03:4515,159no change
6 Aug 2026, 03:3815,159first reading

Engagement

246 posts held, back to 6 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 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.5%
avg views ÷ 15,176 subscribers
Avg views / post
1,600
246 posts measured
Reaction rate
0.434%
reactions ÷ views · ER floor
Posts in window
246
of 246 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 157 of 246 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 17 August 2026
Posts held246 (6 August 202617 August 2026)
Views total393,642
Reactions total1,128
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 18:32 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
32s
Average length
16s

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

991 reactions across 134 posts, in 34 distinct kinds. The most used accounts for 20.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
20220.4%
👍13313.4%
🤮10210.3%
🖕898.98%
😁868.68%
🤣575.75%
🤬494.94%
🔥383.83%
👎292.93%
🥰282.83%
👏262.62%
😭242.42%
😱212.12%
🎉141.41%
👌101.01%
😨101.01%
🤔90.908%
🤡80.807%
💅70.706%
💩70.706%
14 further kinds424.24%

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 157 of the 246 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 1,128reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 246 most recent posts we hold, published 6 August 2026 to 17 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

17 Aug 2026, 12:24 UTC781 views3 reactionsread 17 August 2026

#수출데이터 총금액&판가 기준 ATH, 분기 평균 상승, YoY 가속화 등 트렌드 양호 품목 반도체: 삼성전자, SK하이닉스, 두산, 제주반도체, 심텍, 대덕전자, 코리아써키트, 이수페타시스, 해성디에스, 코미코, 이오테크닉스, 티에스이, 덕산하이메탈, 삼성전기, 월덱스, 티씨케이, 하나머트리얼즈, 피에스케이 소비재: 삼양식품, 파마리서치, 코스메카코리아, 코스맥스, 한국콜마, 메디톡스, 대웅제약 기계: SNT에너지, 비에이치아이, 디와이파워, 와이지-원 전력기기: 효성중공업, 일진전기, LS일렉트릭, HD현대일렉트릭 기타: 인바디, 삼아알미늄, DI동일 ———————————————- 기존 유동성이 계속 들어오는 테크, 소비재, 전력기기(인프라), 기계 등이 데이터가 계속 좋음. 그 외 개별 실적주가 좋고 전지용 박 생산 기업들의 데

👍21

17 Aug 2026, 05:54 UTC≈1,150 views4 reactionsread 17 August 2026

✅ 젠슨 황 장녀, LG전자 로보틱스 거점 찾는다…피지컬 AI '밀착 협력' https://n.news.naver.com/mnews/article/014/0005562355?rc=N&ntype=RANKING&sid=101

4

16 Aug 2026, 17:07 UTC≈2,200 viewsread 17 August 2026

https://n.news.naver.com/mnews/article/020/0003741255?sid=101

16 Aug 2026, 15:14 UTC≈2,110 views7 reactionsread 17 August 2026

심판의 날 전날 교회가서 회개하면 되나영

🤷51😁1

16 Aug 2026, 15:13 UTC≈2,120 views2 reactionsread 17 August 2026

https://m.youtube.com/watch?v=_qlPurNcPVI&pp=iggCQAE%3D

👍2

16 Aug 2026, 04:12 UTC≈2,470 views13 reactionsread 17 August 2026

SK하이닉스를 봐도 그렇고 썬연료를 봐도 그렇고, 조강지처가 꼭 필요한가영

😁8🤮3👌2

16 Aug 2026, 04:12 UTC≈2,440 views8 reactionsread 17 August 2026

https://youtu.be/75EDX9dk8uk?si=TKYGt7Sng0lEqlGo

🎉5🤮21

16 Aug 2026, 03:50 UTC≈1,970 views4 reactionsread 17 August 2026
Forwarded from @EarlyStock1

저희 조주회가 올해 아이디어 중 하나로 자주 언급드렸던 ESS 산업에 대해 오랫만에 길게 포스팅 해봤습니다 투자 판단에 많은 도움 되시길 바라며 .. 남은 연휴도 즐겁게 보내세요~ https://m.blog.naver.com/englhk/224380164180

4

16 Aug 2026, 03:41 UTC≈1,760 views0 reactionsread 17 August 2026
Forwarded from @BadonionsPhoto

제주반도체 (080220) 한국 수출 26년 7월 Update 단가 YoY: +179.8% 수출액 YoY: +201.0% 3M 수출액 YoY: +199.5% 동시상관: 0.87 동시 방향 일치율: 72% - CY26Q2 매출 ₩188.1B(+401.8% YoY)

16 Aug 2026, 00:32 UTC≈1,640 views14 reactionsread 17 August 2026
Forwarded from @hedgehara

미친새끼들인가? https://naver.me/FqI2UbHS

🤬14

15 Aug 2026, 14:22 UTC≈2,440 views4 reactionsread 17 August 2026
Forwarded from @BadonionsPhoto

삼아알미늄 (006110) 한국 수출 26년 7월 Update 단가 YoY: +25.3% 수출액 YoY: +57.0% 3M 수출액 YoY: +60.7% 선행상관: 0.72 선행 방향 일치율: 76% - CY26Q2 매출 ₩62.9B(+27.2% YoY)

👍4

15 Aug 2026, 08:59 UTC≈2,850 viewsread 17 August 2026

광복절 기념 혐일 게임, 스팀에서 10,680원에 판매중

Showing the 12 most recent of 246 posts we hold for @hogniel. 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 — 136,553 of 1,548,671entries 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.

AWAKE - 실시간 주식 공시 정리채널
@darthacking · 64,869
16 posts
루팡
@bornlupin · 47,118
4 posts
습관이 부자를 만든다. 🧘
@habit4117 · 27,575
4 posts
하나 중국/신흥국 전략 김경환
@HANAchina · 34,893
4 posts
여고생 코쨩👉🔕
@jkkospi · 3,577
3 posts
묻따방 🐕
@mootda · 19,619
3 posts
텐렙
@Ten_level · 17,095
3 posts
Bad Onion 나쁜양파
@Badonions · 3,702
2 posts
변창호 코인사관학교 BCH 🦅
@BChoSN · 24,869
2 posts
DAJU - 기업 공시
@daju_dart · 4,153
2 posts
프리라이프
@free_life59 · 12,546
2 posts
Pluto Research
@hedgehara · 19,171
2 posts
JUMP_시그널
@jump_signal · 369
2 posts
[한투증권 로보틱스 | 최건]
@kis_robotics · 3,097
2 posts
머니보틀
@moneybottle · 15,312
2 posts
요약하는 고잉
@one_going · 46,187
2 posts
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,929
2 posts
타점 읽어주는 여자(타자)
@tazastock · 39,797
2 posts
스핀 - 공개방
@trading_spin · 2,713
2 posts
@아무자료 아무노래(2026년, 계급사회 가속화 3.0)
@anysong_Technon · 4,978
1 post
선수촌
@athletes_village · 21,715
1 post
돼지바
@bbong_tta · 12,696
1 post
바이오 & 주도주
@biokoreachannel · 1,086
1 post
64비트사령부⚡️ 🇰🇷🇺🇸
@BTCpentagon · 5,680
1 post
유진투자증권 ETF/파생 강송철
@buykkang · 5,497
1 post
Fact and Truth
@coffeekhan007 · 385
1 post
가치투자클럽
@corevalue · 67,726
1 post
D의 테크 투자
@DrDtech · 2,710
1 post
다영의 뉴스공장
@dynewscollecters · 2,652
1 post
조기주식회 공부방
@EarlyStock1 · 24,433
1 post
투자자문 와이즈리서치 경제공부방
@econostudy · 8,600
1 post
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,414
1 post
석학들의 마켓 (인)사이트
@getfeed · 8,476
1 post
한국경제
@hankyung_fin · 12,690
1 post
기술적 분석으로 보는 주식시장 (by 소라게아빠)
@hermitcrab41_1 · 20,325
1 post
미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 69,724
1 post
투자자윤의 투자일지
@invetyun · 6,467
1 post
KB 채권 - 임재균 & 박문현🙂
@jk_bond · 3,419
1 post
Granit34의 투자스토리
@Joorini34 · 12,704
1 post
Gas Gas Gas
@lngas0 · 1,653
1 post
스탁이지 - AI 투자 어시스턴트
@maddingStock · 20,287
1 post
부두주술금융지주
@makima02564 · 607
1 post
마켓타임스 뉴스룸
@markettimesnews · 63
1 post
몰?루
@molru · 3,621
1 post
퀀텀 알고리즘
@quantum_ALGO · 7,478
1 post
스몰인사이트리서치
@smallinsightresearch · 5,696
1 post
스마트앤그로스 (Smart & Growth)
@SmartnGrowth · 3,286
1 post
팔칠사공스토너 실전투자 인사이트
@stoner8740 · 11,027
1 post
CTRINE
@teamctrine · 6,751
1 post
나는 부자가 되고싶었다 - 주식, 파생, 경제뉴스
@thefastnews00 · 600
1 post
TNBfolio
@TNBfolio · 24,636
1 post
지엘리서치_ 독립리서치
@valjuman · 6,728
1 post
W리서치
@Wave_Research · 1,530
1 post
YIELD & SPREAD
@yieldnspread · 21,773
1 post

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

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.

Named by

Channels on the register whose posts name this channel's handle.

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

“호그니엘” (@hogniel), 15,176 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/hogniel.

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.