Внезапно продолжение "Теории большого взрыва" https://www.kinopoisk.ru/series/5310825/

Channel
Управление собой и другими
@samuprav
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
722subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001169272776 |
|---|---|
| Type | Channel |
| Username | @samuprav |
| Description | Факты, мысли и перепосты на тему управления собой, командой и пр., ведение заметок, ИИ и разработку. Видео и лонгриды: https://dzen.ru/samuprav |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/samuprav |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 02:06 | 722 | no change |
| 7 Aug 2026, 12:34 | 722 | first reading |
Engagement
20 posts held, back to 15 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
- 29.9%
- avg views ÷ 722 subscribers
- Avg views / post
- 216
- 20 posts measured
- Reaction rate
- 0.603%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 9 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (15 July 2026 – 7 August 2026) |
| Views total | 4,319 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:06 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
- 360
- Videos
- 9
- Links
- 827
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
13 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 30.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4 | 30.8% | |
| 🔥 | 4 | 30.8% | |
| 😁 | 2 | 15.4% | |
| 🤯 | 2 | 15.4% | |
| ❤ | 1 | 7.69% |
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 9 of the 20 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 July 2026 to 7 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.
Recent posts
Прекрасно о прекрасном и прекрасных людях: https://t.me/bvevvs/1520
🔥1
Отличное видео о передовой американской школе Alpha School: https://www.youtube.com/watch?v=-z-aEojyBtU Во вложении пересказ текстом
Делать невидимое видимым - 💛 https://t.me/bvevvs/1503
Недавно думал на похожую тему: сделать приёмо-передатчик произвольных небольших двоичных файлов через статические битмапы. Например, когда скопировать из изолированного контура ничего нельзя, но можно сделать снимок экрана или сфотографировать. Пока не стал делать из-за явного нарушения правил ИБ. https://t.me/neuraldeep/2257
🔥1
Как эти ИИ-оптимисты планируют "бесчеловечное" (полностью автоматизированное) производство? Это путь в никуда, увы. Даже с хорошим харнесом и контрольными точками снова и снова случается такое (см. картинку).
Прочитав цитату https://t.me/agirussianews/2680, попробовали разобраться в нейросемантическом ИИ. Перспективным кажется такой подход: LLM переводит язык в формальное представление, солвер выполняет рассуждение Знаю даже кейс успешной реализации. Но воспроизвести пока не могу - выглядит слишком сложно.
Интересно про роль шахмат в становлении руководителя: https://t.me/emacsway_log/1812 Хорошо, что в Дуолинго шахматы добавили - мы почти всей семьёй играем.
Случайно обнаружил, что в VS Code в md-файлах работают вики-ссылки - так же, как в Обсидиане: Ctrl+клац по вики-ссылке в редакторе Markdown-файла перебрасывает на заметку под ссылкой в новой вкладке. Кто там пророчил, что после того как Obsidian превратится в тыкву, вики-ссылки превратятся в тыкву вместе с ним? Не превратятся. #pkm
❤1
Вот ещё интересный обзор мессенджеров на базе Nostr - универсального безопасного протокола децентрализованной коммуникации. Пробовали/пользуетесь чем-то из этого?
Сканирование книг в промышленных масштабах для обучения ИИ на них: https://t.me/turboproject/4884
Соответственно, структурированное изложение эпистемы "без воды" повышает эпиплексию и снижает "входной порог" агента, который может понять изложенную информацию и использовать её в своих целях. Точно так же упомянутый выше Claude Caveman повышает эпиплексию, да и русский мат тоже. А вот использование высокопарного слога, слов-заимствований или, чего доброго, вообще иностранного языка (в России начала 20 века в опре…
👍2
Showing the 12 most recent of 20 posts we hold for @samuprav. 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.
Citation-graph rank
Citation-graph rank — 611,169 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
@bvevvs · 7,6022 postsAGIRussia.news (ОИИРоссия.новости)
@agirussianews · 8941 postemacsway-log: Software Design, Clean Architecture, DDD, Microservice Architecture, Distributed Systems, XP, Agile, etc.
@emacsway_log · 3,5911 postEvent Storming
@event_storming · 1,6991 postВалера Ковальский
@neuraldeep · 16,0551 postТимур Хахалев про AI Coding
@the_ai_architect · 8,9821 postAI Projects
@turboproject · 9,9831 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Управление собой и другими” (@samuprav), 722 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/samuprav.
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.