Telegram RegisterThe public register of Telegram
Telegram profile photo for 묻따방 🐕

Channel

묻따방 🐕

@mootda

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

19,801subscribers

+203 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-1001389242941
TypeChannel
Username@mootda
Description(방장한테) 묻지도 따지지도 않는 방 은덕베풀기 : https://litt.ly/mootda Boost : https://t.me/mootda?boost
Created21 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/mootda

Topic

Politics & activism — 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 84% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 9 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@stoner8740/177126 Nov 2026, 02:19 UTC@mootda/96382 · this entry6 Nov 2026, 02:22 UTC1.004 minutes
@mootda/96543 · this entry9 Nov 2026, 08:51 UTC@stoner8740/177419 Nov 2026, 08:52 UTC1.0072 seconds
@stoner8740/1776110 Nov 2026, 02:37 UTC@mootda/96591 · this entry10 Nov 2026, 02:38 UTC1.00under a minute
@hedgehara/494236 Nov 2026, 08:33 UTC@mootda/96419 · this entry6 Nov 2026, 08:39 UTC1.006 minutes
@umbrellaresearch/4178919 Aug 2026, 05:11 UTC@mootda/92911 · this entry19 Aug 2026, 05:13 UTC1.003 minutes
@mootda/96436 · this entry6 Nov 2026, 23:48 UTC@umbrellaresearch/431727 Nov 2026, 02:20 UTC1.002.5 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@pharmbiohana10 (8/8 hand-verifiable sample passed)1.0025 minuteseven
@stoner87405 (5/5 hand-verifiable sample passed)1.0072 seconds@stoner8740 (3–2)
@Ten_level15 (8/8 hand-verifiable sample passed)1.005 minutes@Ten_level (12–3)
@hedgehara8 (8/8 hand-verifiable sample passed)1.0028 minutes@hedgehara (6–2)
@umbrellaresearch5 (5/5 hand-verifiable sample passed)1.008 minutesthis entry (3–2)
@insidertracking7 (7/7 hand-verifiable sample passed)1.002 minutes@insidertracking (6–1)
@Yeouido_Lab8 (8/8 hand-verifiable sample passed)1.006 minutes@Yeouido_Lab (6–2)
@hogniel11 (8/8 hand-verifiable sample passed)1.0022 minutesthis entry (6–5)
@bbong_tta5 (5/5 hand-verifiable sample passed)1.0023 minutesthis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 213 comparable posts for this entry, running 6 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

19,57719,80119,6896 August 202610 November 2026
63 measurements spanning 97 days, net +203. 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 19,543–19,835 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 21:2119,801+15
9 Nov 2026, 09:4519,786+10
8 Nov 2026, 03:5819,776+6
6 Nov 2026, 21:0519,770+42
5 Nov 2026, 21:5619,728+12
4 Nov 2026, 23:1919,716+9
4 Nov 2026, 02:1019,707+10
2 Nov 2026, 23:1919,697+18
1 Nov 2026, 23:1619,679-5
1 Nov 2026, 02:4919,684-2
31 Oct 2026, 01:3719,686+5
30 Oct 2026, 00:5919,681+22
28 Oct 2026, 23:1719,659-10
27 Oct 2026, 18:5119,669-4
26 Oct 2026, 19:5719,673+2
25 Oct 2026, 19:4719,671-2
24 Oct 2026, 18:4019,673-5
22 Oct 2026, 14:0019,678-1
20 Oct 2026, 05:2019,679-11
19 Oct 2026, 07:2019,690first reading

Engagement

879 posts held, back to 6 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 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.5%
avg views ÷ 19,801 subscribers
Avg views / post
2,480
264 posts measured
Reaction rate
0.648%
reactions ÷ views · ER floor
Posts in window
264
of 879 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 220 of 264 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 11 November 2026
Posts held879 (6 August 2026 – 11 November 2026)
Views total655,141
Reactions total3,677
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:42 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
≈39,100
Videos
≈857
Links
≈35,900

Lifetime counters from Telegram’s own channel header, read 11 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
9m 04s
Average length
26s

Measured directly from 21 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

15,514 reactions across 733 posts, in 42 distinct kinds. The most used accounts for 19.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3,06719.8%
❤1,95812.6%
💩1,1237.24%
🤬1,0806.96%
🤮1,0196.57%
🤣1,0016.45%
😁9536.14%
🖕9035.82%
🥰6083.92%
🔥5583.60%
custom 53954482377651826335533.56%
💯5083.27%
👏2991.93%
😱2501.61%
😢2071.33%
😭2061.33%
🙏1981.28%
👎1861.20%
custom 53348261616565720091751.13%
🤪1160.748%
22 further kinds5463.52%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 772 of the 879 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 15,736 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 879 most recent posts we hold, published 6 August 2026 to 11 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 879 we hold a reading for · 0.1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mootda. 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 879 most recent posts we hold for this entry, published 6 August 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 18 of 264 posts held from the last 30 days (6.82%) 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).

11 Nov 2026, 03:12 UTC≈1,630 views9 reactionsread 11 November 2026

└ 코스닥 개떡락하면서 핸들 떼고 자율주행중인데 여기서 4프로 오른다 한들 안전운행이 될리가 없습니다.

👌6👍3

11 Nov 2026, 03:11 UTC905 views5 reactionsread 11 November 2026

내일 옵션 만기인거 아시죠? 안전 운전들 하세요

❤4custom 53348261616565720091

11 Nov 2026, 03:09 UTC≈1,090 views1 reactionsread 11 November 2026

💻 삼성전자, AMD와 차세대 반도체 테스트 인프라 협력 https://www.yna.co.kr/view/AKR20261111089400003?input=1195m 삼성전자가 AMD의 최신 서버용 프로세서와 자사 메모리·스토리지 제품을 결합해 차세대 반도체 제조 테스트 인프라 고도화에 나섭니다. 📌 AMD 6세대 에픽 프로세서, 삼성 메모리와 결합 AMD가 6세대 EPYC Embedded 9006 시리즈를 공개하며 삼성전자와의 협력 구성 소개 삼성전자의 DDR5 RDIMM·MRDIMM, PCIe 6.0 SSD, CXL 메모리 확장 모듈 적용 차세대 메모리와 고속 입출력 장치의 성능 검증을 위한 테스트 인프라 구축 추진 📌 최대 256코어, 반도체 검사 처리량 확대 AMD 신형 프로세서는 최대 256코어, PCIe 6.0 및 CXL …

❤1

11 Nov 2026, 02:15 UTC≈2,060 views18 reactionsread 11 November 2026

└ 박주민 내란선동죄인데 민주파출소에 신고하면 되나요?

👏15❤2👎1

11 Nov 2026, 02:14 UTC≈1,680 views17 reactionsread 11 November 2026

전쟁? 내란범이 요기잉네 ㅋ https://imnews.imbc.com/news/2026/politics/article/6864780_36912.html

💩17

11 Nov 2026, 01:51 UTC≈2,250 views40 reactionsread 11 November 2026

└ 근데 생각해보면 보수가 집권하지 못한다면 문재인이 돌아오는게 그나마 베스트 케이스임 ㅋㅋㅋㅋㅋ

😱22🤮10custom 53348261616565720096🖕1🤣1

11 Nov 2026, 01:51 UTC≈1,830 views29 reactionsread 11 November 2026
Video

다쉬~ 출뫄할꽈요~?

🖕19🤡10

11 Nov 2026, 01:50 UTC≈2,210 views3 reactionsread 11 November 2026
Photo

이 기준으로 개헌되면 웃을 사람 1명 문재인 "훠훠~ 다시 출마할까요?~"

❤2🤣1

11 Nov 2026, 01:47 UTC≈2,030 views22 reactionsread 11 November 2026

오늘 국장 상승은 인간적으로 클론까지 동원해서 기도한 내덕이다. ㅇㅈ?

👍15🥰4💯1🔥1🤣1

11 Nov 2026, 01:30 UTC≈2,130 views9 reactionsread 11 November 2026

└ 바로삼 이라고 사명을 지었으면 오늘 300% 오름.

❤5👍2🤣2

Showing the 12 most recent of 879 posts we hold for @mootda. 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.

Republished by 58 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,456
12 posts
호그니엘
@hogniel · 15,354
9 posts
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,759
9 posts
미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 74,015
8 posts
돼지바
@bbong_tta · 12,887
6 posts
Pluto Research
@hedgehara · 19,579
5 posts
Trends & Tips 😎⚡️
@honeylifetip · 9,377
5 posts
돈맥경화 연구소
@Donmaek · 6,542
4 posts
투자자윤의 투자일지
@invetyun · 6,409
4 posts
나스닥혁명수비대
@nq_rgc · 7,006
4 posts
FOMO 4가투
@fourgachi · 9,361
3 posts
Gas Gas Gas
@lngas0 · 1,660
3 posts
재간둥이 송선생
@songjongsik · 18,517
3 posts
미국 오직 미국주식
@usdkkrw · 1,235
3 posts
오를주식 - 뉴스/경제/주식
@GoUpstock · 21,089
2 posts
거대병아리 오랜만이지?
@HoguGugu · 1,534
2 posts
텐렙
@Ten_level · 16,994
2 posts
8기통 풀악셀
@V8foreverz · 529
2 posts
상장기업 수사대 ☎️
@cyber_rangers · 16,905
2 posts
간절한 투자스터디카페
@desperatestudycafe · 18,510
2 posts
트레이더 훈
@jhhr1217 · 150
2 posts
投資, 아레테
@mstaryun · 18,785
2 posts
세종기업데이터
@sejongdata2013 · 23,224
2 posts
실버만삭스의 루틴
@silvermansachs_routine · 7,885
2 posts
소형주 투자자 텔레그램
@small_stock · 9,501
2 posts
월스트릿동물학
@wallstbearcup · 1,257
2 posts
우투의 주식학교
@winstock · 1,112
2 posts
젬하 크립토(GemHive)🦄 경제적 자유 이루기
@GemHive · 21,259
1 post
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,672
1 post
기업지평 넓히기
@broadeningones · 3,279
1 post
🚨별이네💎멍멍놀이터🔥
@byulEnae · 2,631
1 post
차분남(차트분석하는남자)
@chavoonnam · 21,088
1 post
중국남자.
@cockroachnamja · 57
1 post
반붐온? 방붐온?
@cpshelter · 5,377
1 post
코인 갤러리(Coin gallery)
@dogeland01 · 20,918
1 post
에코프로 경비대대장
@ecopro_K · 756
1 post
엘리트강사의 주식 공부방
@elite_instructor · 10,912
1 post
기다림의 미학(정성적 스토리)
@fomotoo · 138
1 post
ONLY for wemade
@forwemade · 1,153
1 post
프리라이프
@free_life59 · 12,707
1 post
Fund Easy 잡담모드
@fundeasy_choi · 10,815
1 post
습관이 부자를 만든다. 🧘
@habit4117 · 28,313
1 post
메모장
@idea_memo · 8,974
1 post
인상주의 투자 인생 업그레이드노트
@insangnism · 11,236
1 post
Kael Playground
@kaelresearch · 3,500
1 post
마샬 공유방 2.0
@marshallog · 21,370
1 post
MZ타뇽 긴축모드 ON
@mztanyong · 6,063
1 post
알테오젠&TSLR&PLTR&DNA. 그 끝은 어디?
@onlyalte · 406
1 post

Republishes

Channels on the register whose posts this channel has forwarded.

Republishes 79 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.

여고생 코쨩👉🔕
@jkkospi · 3,813
14 posts
다영의 뉴스공장
@dynewscollecters · 3,162
10 posts
미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 74,015
9 posts
딘스티커 Dean's Ticker
@d_ticker · 16,242
8 posts
Pluto Research
@hedgehara · 19,579
7 posts
🌸Crypto Judy🐰🌸
@lovejudylee · 37,063
7 posts
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,571
6 posts
호그니엘
@hogniel · 15,354
6 posts
스몰인사이트리서치
@smallinsightresearch · 5,828
6 posts
64비트사령부⚡️ 🇰🇷🇺🇸
@BTCpentagon · 6,582
5 posts
국회제보핑
@jeboping · 4,423
5 posts
변창호 코인사관학교 BCH
@BChoSN · 26,325
4 posts
돼지바
@bbong_tta · 12,887
4 posts
Trends & Tips 😎⚡️
@honeylifetip · 9,377
4 posts
재간둥이 송선생
@songjongsik · 18,517
4 posts
🌱받밭🌱
@batbat_field · 3,384
3 posts
🚨별이네💎멍멍놀이터🔥
@byulEnae · 2,631
3 posts
Fund Easy 잡담모드
@fundeasy_choi · 10,815
3 posts
Gas Gas Gas
@lngas0 · 1,660
3 posts
요약하는 고잉
@one_going · 48,209
3 posts
리포트 갤러리
@report_figure_by_offset · 22,381
3 posts
돈맥경화 연구소
@Donmaek · 6,542
2 posts
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 41,019
2 posts
한투증권 미국/중국전략 정정영
@G2strategy · 16,724
2 posts
Granit34의 투자스토리
@Joorini34 · 12,567
2 posts
TNBfolio
@TNBfolio · 25,170
2 posts
8기통 풀악셀
@V8foreverz · 529
2 posts
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,456
2 posts
에이프릴바이오 공식IR채널: 리레이팅 2026
@aprilbioipr · 4,394
2 posts
선수촌
@athletes_village · 22,138
2 posts
FOMO 4가투
@fourgachi · 9,361
2 posts
프리라이프
@free_life59 · 12,707
2 posts
습관이 부자를 만든다. 🧘
@habit4117 · 28,313
2 posts
걍준서
@jsheo · 5,351
2 posts
[삼성 Mobility 임은영]
@s_esthermobility · 8,396
2 posts
주식클라쓰_하창봉👍
@sharpha · 9,279
2 posts
돌다리🚦
@stbridgee · 4,645
2 posts
팔칠사공스토너 실전투자 인사이트
@stoner8740 · 10,875
2 posts
CTRINE
@teamctrine · 8,436
2 posts
부의 나침반
@w_compas · 4,992
2 posts
월스트릿동물학
@wallstbearcup · 1,257
2 posts
순대렐라의 바이오 하우스
@BIOWORLDJD · 4,084
1 post
조선코인
@ChosunCrypto1 · 3,957
1 post
[시장을 이기는 유안타 주식전략] 김용구
@ConvictionCall · 6,748
1 post
루팡
@bornlupin · 49,242
1 post
카이에 de market
@cahier_de_market · 23,076
1 post
한화 Research 금융 김도하
@dh_finance · 4,934
1 post
디앤디파마텍 공식 IR 채널
@dndpharmatech · 3,614
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 7 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.

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.

선수촌
@athletes_village · 22,138
Telegram ranks this channel #4 of 88 here — alongside 87 others — read 23 September 2026
💯똥밭에 굴러도 주식판
@daegurr · 23,776
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 18 September 2026
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,874
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 20 September 2026
도PB의 생존투자
@survival_DoPB · 22,062
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 21 September 2026
유진투자증권 코스닥벤처팀
@SmallCap · 22,994
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 19 September 2026
Buff
@bufkr · 21,585
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 21 September 2026
카이에 de market
@cahier_de_market · 23,076
Telegram ranks this channel #21 of 85 here — alongside 84 others — read 20 September 2026
신영증권 박소연
@sypark_strategy · 29,259
Telegram ranks this channel #44 of 91 here — alongside 90 others — read 8 September 2026
YIELD & SPREAD
@yieldnspread · 22,089
Telegram ranks this channel #45 of 89 here — alongside 88 others — read 21 September 2026

This channel appears in 9 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“묻따방 🐕” (@mootda), 19,801 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/mootda.

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.