Photo, posted without a caption

Channel
Plan G Research
@Plan_G_Research
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
6,328subscribers
+179 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 | -1002448633395 |
|---|---|
| Type | Channel |
| Username | @Plan_G_Research |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/Plan_G_Research |
Topic
International news — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 08:51 | 6,328 | -18 |
| 7 Nov 2026, 10:30 | 6,346 | +35 |
| 4 Nov 2026, 16:20 | 6,311 | -4 |
| 1 Nov 2026, 13:15 | 6,315 | -7 |
| 29 Oct 2026, 04:26 | 6,322 | +2 |
| 26 Oct 2026, 05:41 | 6,320 | -5 |
| 22 Oct 2026, 23:26 | 6,325 | -16 |
| 19 Oct 2026, 23:57 | 6,341 | -5 |
| 17 Oct 2026, 03:47 | 6,346 | +3 |
| 14 Oct 2026, 06:20 | 6,343 | -9 |
| 10 Oct 2026, 18:38 | 6,352 | -10 |
| 4 Oct 2026, 20:57 | 6,362 | +11 |
| 25 Sept 2026, 05:59 | 6,351 | -14 |
| 15 Sept 2026, 10:21 | 6,365 | -1 |
| 12 Sept 2026, 02:15 | 6,366 | +2 |
| 8 Sept 2026, 00:19 | 6,364 | -3 |
| 2 Sept 2026, 17:07 | 6,367 | +2 |
| 30 Aug 2026, 18:03 | 6,365 | +95 |
| 27 Aug 2026, 09:58 | 6,270 | -4 |
| 24 Aug 2026, 04:24 | 6,274 | first reading |
Engagement
59 posts held, back to 24 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 14 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.8%
- avg views ÷ 6,328 subscribers
- Avg views / post
- 2,140
- 33 posts measured
- Reaction rate
- 0.345%
- reactions ÷ views · ER floor
- Posts in window
- 33
- of 59 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 29 of 33 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 59 (24 July 2026 – 6 November 2026) |
| Views total | 70,567 |
| Reactions total | 230 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 13:50 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
- 27s
- Average length
- 27s
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
376 reactions across 50 posts, in 17 distinct kinds. The most used accounts for 66.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 248 | 66.0% | |
| 👍 | 61 | 16.2% | |
| 🤯 | 16 | 4.26% | |
| 😁 | 12 | 3.19% | |
| 😭 | 12 | 3.19% | |
| 🔥 | 6 | 1.60% | |
| 😢 | 5 | 1.33% | |
| 😱 | 4 | 1.06% | |
| 👏 | 2 | 0.532% | |
| 😨 | 2 | 0.532% | |
| 🙈 | 2 | 0.532% | |
| ✍ | 1 | 0.266% | |
| 🌚 | 1 | 0.266% | |
| 🍌 | 1 | 0.266% | |
| 🤣 | 1 | 0.266% | |
| 🤷♀ | 1 | 0.266% | |
| 🤷♂ | 1 | 0.266% |
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 50 of the 59 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 376 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 24 July 2026 to 6 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 59 we hold a reading for · 2%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Plan_G_Research. 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 59 most recent posts we hold for this entry, published 24 July 2026 to 6 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: 1 of 33 posts held from the last 30 days (3.03%) 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).
오늘의 하락 알고리즘 1. 트렌드포스에서 낸드메모리 ASP 떨어진다는 레포트 냄 2. 가격 떨어지는게 최대 악재인 메모리 주가 급락 3. 관련 데이터센터 및 AI 관련주 급락 4. 나스닥 급락 5. 비트코인 급락 *비트고인이 뭘 잘못했는데?!
🤯9😢5❤2
📣 가상자산 과세 2년 유예 확정되었습니다. 대한민국 공식 전자정부 누리집 재정경제부 보도, 참고자료 코인과세가 2년 공식 유예되었습니다. 여당, 야당 모두 당대표가 공식 건의하고 행정부까지 동의했습니다. 세법개정안 개정은 확정이고 연말 표결만 거치면 됩니다. 2년 유예와 함께, 3년간의 손실 이월공제도 재정경제부 발표에 포함되었습니다. 대한민국 공식 전자정부 누리집 재정경제부 부총리 브리핑 자료 원문보러가기 정말 수고 많으셨습니다. 트위터에도 올려놨어요.
👍16❤3
어제 트레이딩한 비트코인 근황 BULK Trade의 유지증거금 기준으로 +211.57% 수익을 기록 중입니다. 저희는 이전에 소개했던 BULK Trade를 초기부터 꾸준히 사용하고 있으며, 이번 비트코인 롱 포지션도 현재 진행 중인 이벤트에 참여할 겸 BULK에서 진입했습니다. 해당 이벤트는 매주 거래소 순수익의 12.5%를 USDC 상금으로 분배하며, 트레이딩으로 획득한 AURA(포인트)를 기준으로 리그 순위를 산정해 지급하고 있습니다. 최근 Claude를 활용해 펀딩비 파밍이나 주식 Perp의 거래소 간 가격 괴리를 활용하는 트레이딩 봇을 직접 만드시는 분들도 계시는데, 이런 전략에서는 수수료, 증거금 효율, 거래소 지연시간이 수익성에 중요한 영향을 미치는데, BULK에서 참고할 만한 몇 가지 특징을 공유드립니다. 우선 최근 …
❤4🔥3✍1
Photo, posted without a caption
❤4
🟢 $81,000 @bitcoin_price
❤3👍1
관악산 효과 좋네..?
😁7
비트코인 오른기념으로 관악산 연주대에 왔습니다.
❤14😁5
사실상 집권여당이 이긴거네요. ???: 이긴 당으로 내가 당적을 옮기면 내가 이긴 거 아님? 또 승리한 트황상..
❤14🤯3👍2👏1
잘 오르네요.
❤11
🟢 $78,000 @bitcoin_price
👍5
76K 라인에서 비트만 추가했습니다.
❤8🍌1🤣1🤯1
Showing the 12 most recent of 59 posts we hold for @Plan_G_Research. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@bbanjil · 10,6723 postsPJ Morgan
@PJGayClub · 2082 posts간절한 투자스터디카페
@desperatestudycafe · 18,5102 posts퓨처워커 미국증시 리서치
@futurewalker · 9022 posts에어드랍ATM
@Bounty_ATM · 25,8051 post조기주식회 공부방
@EarlyStock1 · 24,3631 post급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 41,0191 post고독한 트레이더
@GODOGtrader · 11,8301 post캇즈의 크립토 노트📝☕️
@Katzenote · 6,4251 post캬오의 공부방
@Kyaooo · 17,4831 post텐렙
@Ten_level · 16,9941 post생각 정리하는 방
@Thoughts_BFox · 15,0861 postYeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,4561 post카이에 de market
@cahier_de_market · 23,0761 post차분남(차트분석하는남자)
@chavoonnam · 21,0881 post디젠의 트레이딩 일지
@degen2468 · 13,0251 post불개미 CRYPTO
@fireant_crypto · 32,7031 postFOMO 4가투
@fourgachi · 9,3611 post인상주의 투자 인생 업그레이드노트
@insangnism · 11,2361 post投資, 아레테
@mstaryun · 18,7751 post너쟁이의 성실한 추추생활
@nje2e · 8,9561 post힙한 펭미업의 1인칭 시점
@pengmeup · 9,1751 post제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,7891 post주식클라쓰_하창봉👍
@sharpha · 9,2791 post실버만삭스의 루틴
@silvermansachs_routine · 7,8851 post팔칠사공스토너 실전투자 인사이트
@stoner8740 · 10,8751 post🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 13,0691 post쩜상리서치
@upper_limit_price · 7,9541 post
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.
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.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“Plan G Research” (@Plan_G_Research), 6,328 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Plan_G_Research.
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.