Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
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.
Views per post sit far above this size band
5,110 average views per post against 1,622 subscribers — an engagement rate of 315.1%. Across the 386 registered channels in the same cohort — 1,004–3,127 subscribers, posting mainly in Korean — the middle half sit between 9.52% and 37.5%, with a median of 19.4%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
10 of 10 published in the window (1 exact, 9 rounded by Telegram)
Views totalled
51,102
Mature posts only
315.1% over 10 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 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
3 measurements spanning 3 days, net +2. 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 1,620–1,622 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 00:34
1,622
+2
7 Aug 2026, 21:16
1,620
no change
7 Aug 2026, 18:13
1,620
first reading
Engagement
12 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
307.0%
avg views ÷ 1,622 subscribers
Avg views / post
4,980
9 posts measured
Reaction rate
0.212%
reactions ÷ views · ER floor
Posts in window
9
of 12 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 31 July 2026
Posts held
12 (10 July 2026 – 31 July 2026)
Views total
44,812
Reactions total
95
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 21:16 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
139 reactions across 12 posts, in 14 distinct kinds. The most used accounts for 33.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
47
33.8%
🙏
34
24.5%
❤
33
23.7%
👏
5
3.60%
🐳
4
2.88%
❤🔥
3
2.16%
🎉
3
2.16%
🏆
2
1.44%
💯
2
1.44%
🥰
2
1.44%
💘
1
0.719%
😁
1
0.719%
🤣
1
0.719%
🤩
1
0.719%
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 12 of the 12 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 139reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 10 July 2026 to 31 July 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.
안녕하세요. 지투지바이오입니다.
금일 당사의 신사업인 항체 관련 이희용 대표이사님의 인터뷰 기사가 게재되어 공유드립니다.
또한 지투지바이오는 미립구 장기지속형 주사제와 관련해서도 현재 글로벌 A사를 포함한 다수의 기업들과 긍정적인 논의를 이어가고 있습니다.
의미 있는 소식을 지속적으로 전해드릴 수 있도록 하겠습니다.
감사합니다.
https://naver.me/G1pnSWpu
https://naver.me/5vJGHSVc
http://www.press9.kr/news/articleView.html?idxno=80353
https://www.thebionews.net/news/articleView.html?idxno=26821
안녕하세요 지투지바이오입니다.
당사는 신성장동력 확보를 위해 항체의약품 사업에 본격 진출합니다.
그 첫 발걸음에 셀트리온과 업무협약(MOU)을 체결했으며, 고농축 제형 기술을 기반으로 기존 IV(정맥주사) 제형을 환자 편의성이 높은 SC(피하주사) 제형으로 전환하는 기술 개발에 협력할 예정입니다.
이번 협약을 통해 미립구 기반 장기지속형 주사제 기술과 항체의약품 플랫폼을 접목해 새로운 사업 기회를 확대해 나갈 계획입니다.
관련 기사 공유드립니다. 감사합니다.
http://www.press9.kr/news/articleView.html?idxno=80327&sicode=01
안녕하세요. 지투지바이오입니다.
이희용 대표이사님의 기사가 게재되어 공유드립니다.
매일경제에서 진행된 이번 인터뷰에서는 AI 기술을 신약 연구개발(R&D)에 적극 도입해 개발 기간과 비용을 효율적으로 절감하고,
연구개발의 성공 가능성과 생산성을 극대화하기 위한 회사의 전략과 비전을 중심으로 소개했습니다.
앞으로도 당사는 AI 기반 연구개발 역량을 지속적으로 강화하며, 기업가치 제고와 주주가치 증대를 위해 최선을 다하겠습니다.
감사합니다.
https://www.mk.co.kr/news/it/12107737
안녕하세요. 지투지바이오입니다.
지투지바이오가 미립구 기반 장기지속형 주사제 개발 경쟁력 강화를 위해 AI 기반 R&D 체계를 구축하게 됐습니다.
AI를 활용해 축적된 실험 데이터와 연구 정보를 체계적으로 분석하고, 제형 설계 및 공정 개발 과정을 지원함으로써 보다 효율적인 연구 성과가 도출될 전망입니다.
이를 통해 개발 기간을 단축하고 데이터 기반의 연구개발 역량을 고도화하는 한편, 글로벌 파트너십 및 CDMO 사업 등의 경쟁력을 지속적으로 강화하겠습니다.
관련 기사 공유드립니다. 감사합니다.
http://www.press9.kr/news/articleView.html?idxno=79730
안녕하세요. 지투지바이오입니다.
지난 12~15일 영국 런던에서 개최된 알츠하이머협회 국제학술대회(AAIC 2026)에서 지투지바이오가 개발 중인 월 1회 투약 치매치료제 'GB-5001'의 임상 1상 반복투약 주요 데이터가 공개됐습니다.
8월 임상시험결과보고서(CSR)를 수령할 것으로 예상되면서, 공시 전 자세한 데이터를 공개할 수는 없지만 현장에서 전해진 긍정적인 소식을 전달드립니다.
자세한 내용은 기사 참고를 부탁드립니다. 감사합니다.
https://www.thebionews.net/news/articleView.html?idxno=26446
안녕하세요. 지투지바이오입니다.
오늘 당사의 사업과 관련된 기획기사가 게재되어 공유드립니다.
최근 주가 흐름으로 인해 많은 주주 여러분께서 우려와 답답함을 느끼고 계신 점을 회사도 무겁게 인식하고 있습니다.
다만 현재 진행 중인 주요 사업들은 계획에 따라 차질 없이 추진되고 있으며, 회사는 사업 경쟁력 강화와 기업가치 제고를 위해 맡은 바를 흔들림 없이 수행하고 있습니다.
단기적인 시장 변동성보다 사업의 본질적인 성과로 신뢰에 보답할 수 있도록 최선을 다하겠습니다.
감사합니다.
https://www.medicopharma.co.kr/news/articleView.html?idxno=68698
안녕하세요. 지투지바이오입니다.
지투지바이오는 지난 9일 오후 1시부터 진행되는 신한 바이오 포럼 in 대전에 참석해 기업설명을 진행하였습니다.
해당 행사에는 지투지바이오 외 알테오젠과 펩트론, 오름테라퓨틱이 참여했습니다.
아울러 이번 행사는 오늘까지 진행되는 것으로, 10일 진행되는 오전 일정에는 지투지바이오 연구소 탐방이 포함되어 있습니다.
이희용 대표이사님의 발표 현장과 당사 연구소 방문 사진 공유드립니다.
감사합니다.
👍10🙏2🥰1
Showing the 12 most recent of 12 posts we hold for @g2gbio. 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“G2GBIO IR/PR” (@g2gbio), 1,622 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/g2gbio.
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.