미토스가 단순히 보안때문에 핫했는줄 아나보네 https://www.nocutnews.co.kr/news/6572508

Channel
Pluto Research
@hedgehara
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
19,075subscribers
-250 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 | -1001506140857 |
|---|---|
| Type | Channel |
| Username | @hedgehara |
| Created | 21 July 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 2 times, most recently 17 September 2026 |
| On Telegram | t.me/hedgehara |
Topic
Gaming — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 15:55 | 19,075 | +2 |
| 14 Sept 2026, 00:02 | 19,073 | +10 |
| 12 Sept 2026, 03:38 | 19,063 | -21 |
| 9 Sept 2026, 18:21 | 19,084 | +4 |
| 6 Sept 2026, 07:58 | 19,080 | +11 |
| 4 Sept 2026, 03:36 | 19,069 | -30 |
| 2 Sept 2026, 18:35 | 19,099 | +2 |
| 1 Sept 2026, 15:07 | 19,097 | -2 |
| 31 Aug 2026, 15:08 | 19,099 | -5 |
| 29 Aug 2026, 17:18 | 19,104 | -9 |
| 28 Aug 2026, 14:37 | 19,113 | -9 |
| 27 Aug 2026, 15:07 | 19,122 | -11 |
| 26 Aug 2026, 14:53 | 19,133 | -19 |
| 25 Aug 2026, 18:23 | 19,152 | -13 |
| 24 Aug 2026, 17:26 | 19,165 | -8 |
| 23 Aug 2026, 01:05 | 19,173 | -1 |
| 21 Aug 2026, 12:03 | 19,174 | -1 |
| 20 Aug 2026, 14:06 | 19,175 | +5 |
| 19 Aug 2026, 12:36 | 19,170 | -2 |
| 18 Aug 2026, 11:43 | 19,172 | first reading |
Engagement
612 posts held, back to 5 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 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.1%
- avg views ÷ 19,075 subscribers
- Avg views / post
- 2,300
- 192 posts measured
- Reaction rate
- 0.419%
- reactions ÷ views · ER floor
- Posts in window
- 192
- of 612 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 162 of 192 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 612 (5 August 2026 – 3 September 2026) |
| Views total | 442,080 |
| Reactions total | 1,608 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:27 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
- 38s
- Average length
- 38s
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
5,629 reactions across 505 posts, in 47 distinct kinds. The most used accounts for 20.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,157 | 20.6% | |
| 😁 | 891 | 15.8% | |
| 👍 | 742 | 13.2% | |
| 🖕 | 476 | 8.46% | |
| 🤣 | 303 | 5.38% | |
| 🤯 | 240 | 4.26% | |
| 🔥 | 195 | 3.46% | |
| 😱 | 179 | 3.18% | |
| 🍌 | 160 | 2.84% | |
| 💯 | 126 | 2.24% | |
| 😡 | 118 | 2.10% | |
| 🥰 | 106 | 1.88% | |
| 🤮 | 103 | 1.83% | |
| 👏 | 94 | 1.67% | |
| 🫡 | 91 | 1.62% | |
| 🤪 | 83 | 1.47% | |
| 💩 | 73 | 1.30% | |
| 😭 | 72 | 1.28% | |
| 😨 | 57 | 1.01% | |
| 😇 | 53 | 0.942% | |
| 27 further kinds | 310 | 5.51% |
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 534 of the 612 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 5,850 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 612 most recent posts we hold, published 5 August 2026 to 3 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.
Telegram Stars
- Stars received
- 6
- across the posts below
- Posts paid on
- 5
- of 609 we hold a reading for · 0.8%
- Most on one post
- 2
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hedgehara. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 612 most recent posts we hold for this entry, published 5 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
크래프톤, 지스타 10년 연속 참가…"타이틀 추후 공개" https://www.yna.co.kr/view/AKR20260903052300017?input=1195m
❤1😁1
보험
❤4🍌2
Sticker, posted without a caption
?
누군가여?
😁4
태원이형이 한일협력 증대 이야기 하는 시대인데 큐스토 광고모델 앙망합니다 냐냐냐냐냐냐냐 냐냐냐냐냐냐냐
🍌2👏1
✅ BTS 1위, 리센느 118% 상승…임영웅 제치고 광고모델 브랜드평판 2위 https://www.gpkorea.com/news/articleView.html?idxno=146312
💯3
서희자산운용이었는데 여기
😁4
주주환원 확대 … 서희건설, 저평가 탈출할까 https://www.hankyung.com/article/202609030995i
❤2
대 엔 씨
✅ NC AI, 인간 동작 로봇에 심는다..자율형 휴머노이드 국책과제 선정 https://kpenews.com/View.aspx?No=4210715
😁2
Showing the 12 most recent of 612 posts we hold for @hedgehara. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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@fourgachi · 8,3756 posts호그니엘
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@Onionfarmer · 15,9862 postsYeouido Lab_여의도 톺아보기
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@bbong_tta · 12,7112 posts간절한 투자스터디카페
@desperatestudycafe · 18,8242 posts다영의 뉴스공장
@dynewscollecters · 2,8362 posts머니보틀
@moneybottle · 15,5532 posts1,525 - 1,680 NEWERA
@newera1525_1680 · 2,7212 posts제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,8432 posts시미의 생각 아카이브
@seemeachive · 2,4762 posts소소스노-스터디
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@FastStockNews · 128,9211 post오를주식 - 뉴스/경제/주식
@GoUpstock · 20,9781 post헨리의 노트(Building Pipelines)
@GreatestOfAllTimes · 2,7401 post캬오의 공부방
@Kyaooo · 17,3971 post생각하는 사람
@LePenseurs · 7811 postAI MASTERS
@ai_masters_community · 13,9841 post뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,7511 post재테크야간자율학습🌗
@capitalmosquito · 4,2451 postdoreamer의 투자 충전소⛽
@doreamer · 2,4531 post빠르고 정확한 주식정보방
@fastest_info1 · 13,2191 post가투방(DCTG) 저장소
@gatubang · 14,6271 post기술적 분석으로 보는 주식시장 (by 소라게아빠)
@hermitcrab41_1 · 20,3341 postinvestor92
@investor_92 · 1,0201 postKael Playground
@kaelresearch · 3,5471 post말하는 토끼
@malto0115 · 5,6611 postMZ타뇽 긴축모드 ON
@mztanyong · 5,9801 post드리머의 잃지 않는 투자
@orangeboard · 4,6781 postThe Truth_투자스터디
@repeatandrepeat · 5,7591 post세종기업데이터
@sejongdata2013 · 23,3341 postMZ실버만의 메모장
@silver_mansachs · 8,0261 post후조선실록
@slavehunter9999 · 7331 post오늘 공부 노트!
@todaystudynote · 2631 post매실남과 당신은 반드시 승리할것
@waitstudy · 19,3561 postWindy의 투자공방
@windy_zeroroom · 1501 post우투의 주식학교
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Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 89 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
@strategynote · 3,77920 posts하나증권/에너지화학/윤재성
@energy_youn · 10,68813 posts게이머 강석오 [Gamer Seoko Kang]
@seokokang · 6,24913 posts다영의 뉴스공장
@dynewscollecters · 2,83612 posts에테르의 일본&미국 리서치
@aetherjapanresearch · 34,4699 posts[신한 리서치본부] 보험/증권
@heeyeonlim · 6708 posts호그니엘
@hogniel · 15,3278 posts여고생 코쨩👉🔕
@jkkospi · 3,7108 posts[삼성 이영진] 글로벌 AI/SW
@Samsung_Global_AI_SW · 11,9486 posts한화 Research 금융 김도하
@dh_finance · 4,9166 posts[하나 이준호] AI/디지털자산/인터넷/게임
@internetgameLJH · 4,1135 posts묻따방 🐕
@mootda · 19,6505 posts1,525 - 1,680 NEWERA
@newera1525_1680 · 2,7215 posts호구구구
@HoguGugu · 1,4944 posts미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 71,6884 posts📰 실시간 속보 단독 뉴스
@news_kor · 15,6054 posts한투증권 미국/중국전략 정정영
@G2strategy · 16,1533 postsiM증권 전기전자 고의영
@TechInventory · 2713 posts선수촌
@athletes_village · 21,6273 postsAWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,0963 posts한국경제
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@samsung_macro · 8,0493 postsCTRINE
@teamctrine · 7,6003 posts여의도 감성투자
@ygamsung · 6,7353 postsYIELD & SPREAD
@yieldnspread · 22,0303 posts하나 중국/신흥국 전략 김경환
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@fourgachi · 8,3752 posts[하나 Global ETF] 박승진
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@rafikiresearch · 20,5962 posts신한 리서치
@shinhanresearch · 21,6182 posts현대차증권 인터넷/게임 최승호
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@batbat_field · 2,5191 post돼지바
@bbong_tta · 12,7111 post루팡
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@coldbirdteacher · 3,5021 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 3 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.
Names
Channels on the register whose handles appear in this channel's posts.
@energy_youn · 10,6883 posts[삼성 이영진] 글로벌 AI/SW
@Samsung_Global_AI_SW · 11,9483 posts[하나 이준호] AI/디지털자산/인터넷/게임
@internetgameLJH · 4,1132 posts게이머 강석오 [Gamer Seoko Kang]
@seokokang · 6,2492 posts🌱받밭🌱
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@insidertracking · 71,6881 postLive Squawk
@livesquaw · 7851 post마켓 스냅 (Market Snap)
@MarketSnapK · 4741 post현대차증권 인터넷/게임 최승호
@ssi_game · 2,8391 post
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.
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.
@bumgore · 35,332
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 2 September 2026
@jeilstock · 26,472
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 12 September 2026
@gaoshoukorea · 41,195
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 2 September 2026
@daegurr · 23,387
Telegram ranks this channel #10 of 83 here — alongside 82 others — read 18 September 2026
@huhpharm · 24,282
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 16 September 2026
@ym_research · 40,010
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 2 September 2026
@TNBfolio · 24,668
Telegram ranks this channel #12 of 93 here — alongside 92 others — read 15 September 2026
@Yeouido_Lab · 43,309
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 2 September 2026
@darthacking · 65,096
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 2 September 2026
@EarlyStock1 · 24,432
Telegram ranks this channel #16 of 91 here — alongside 90 others — read 16 September 2026
@kimcharger · 24,877
Telegram ranks this channel #16 of 88 here — alongside 87 others — read 15 September 2026
@bornlupin · 48,016
Telegram ranks this channel #18 of 91 here — alongside 90 others — read 2 September 2026
@FastStockNews · 128,921
Telegram ranks this channel #21 of 92 here — alongside 91 others — read 2 September 2026
@Jstockclass · 25,947
Telegram ranks this channel #22 of 90 here — alongside 89 others — read 13 September 2026
@YeouidoStory2 · 58,446
Telegram ranks this channel #23 of 92 here — alongside 91 others — read 2 September 2026
@kwusa · 36,528
Telegram ranks this channel #25 of 92 here — alongside 91 others — read 2 September 2026
@aetherjapanresearch · 34,469
Telegram ranks this channel #26 of 89 here — alongside 88 others — read 3 September 2026
@growthresearch · 40,127
Telegram ranks this channel #26 of 90 here — alongside 89 others — read 2 September 2026
@corevalue · 67,564
Telegram ranks this channel #26 of 93 here — alongside 92 others — read 2 September 2026
@SmallCap · 23,201
Telegram ranks this channel #27 of 96 here — alongside 95 others — read 19 September 2026
@realtime_stock_news · 37,253
Telegram ranks this channel #29 of 93 here — alongside 92 others — read 2 September 2026
@shmstory · 38,160
Telegram ranks this channel #29 of 89 here — alongside 88 others — read 2 September 2026
@FastStockNewsUSA · 40,651
Telegram ranks this channel #29 of 89 here — alongside 88 others — read 2 September 2026
@tazastock · 40,320
Telegram ranks this channel #32 of 89 here — alongside 88 others — read 2 September 2026
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Pluto Research” (@hedgehara), 19,075 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/hedgehara.
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.