Channel
@drmgreen
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
396subscribers
-15 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001189603066 |
|---|---|
| Type | Channel |
| Username | @drmgreen |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/drmgreen |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 06:16 | 396 | -12 |
| 5 Sept 2026, 20:57 | 408 | -2 |
| 21 Aug 2026, 04:33 | 410 | +1 |
| 14 Aug 2026, 10:37 | 409 | -2 |
| 8 Aug 2026, 05:35 | 411 | no change |
| 7 Aug 2026, 13:13 | 411 | first reading |
7 posts held, back to 27 June 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
21 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 42.9% | |
| 😁 | 9 | 42.9% | |
| 👍 | 3 | 14.3% |
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 5 of the 7 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 27 June 2026 to 5 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.
ICRA 2026: главные тренды Physical AI 🤖 Недавно наш коллега Артем Лыков посетил конференцию ICRA 2026, на которой отметил явный сдвиг в индустрии Physical AI. Мы собрали в карточках ключевые выводы. Листайте карточки и читайте публикацию Артема на Хабре, чтобы узнать больше о главных тенденциях и инновациях ICRA 2026! #TrueTechExpert@truetechcommunity
❤1
Развитие ИИ приводит к тому, что интеллектуальная работа становится дешёвой и массово доступной. Ранее доступный лишь небольшому количеству людей ресурс теперь в наличии у всех. К чему это приведёт? Я не знаю. Но можно посмотреть, к чему приводили похожие ситуации раньше Печатный станок привёл сделал информацию более дешёвой и массовой, чем когда-либо до этого. Это распалило эпоху Просвещения и сделало возможным сов…
❤4
Кто пользует Codex, как ощущения от 5.6 Sol? Свои скажу в следующем посте)
Photo, posted without a caption
😁9
Классная статья от лида планировщика Яндекса - о том, как работают беспилотные автомобили https://habr.com/ru/companies/yandex/articles/1052424/
Как работает Google? Скажу сразу - книга любопытная, но все время не покидало ощущение, что авторы чего-то недоговаривают, причем довольно существенное). Литература эта скорее для менеджеров высшего звена - но и остальным почитать не грех. Вот немного action-items: ✅ Принцип “не рассказывай, покажи” (условно - быстро сделай прототип и презентуй не только презу как предложение, но уже и что-то реальное) ✅ При ошибк…
❤2👍1
А, да, ещё забыла про растение 😂 Мой личный приз за самый необычный мерч уходит росткам клубники 😁 Правда, я вообще не знаю, что эта контора делает - но зато она на слуху 😂
❤2👍2
Showing the 7 most recent of 7 posts we hold for @drmgreen. 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.
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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“ML Planning Princess” (@drmgreen), 396 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/drmgreen.
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.