Telegram RegisterThe public register of Telegram

Channel

Системное мышление для жизни

@systemsthinkinglife

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,523subscribers

+6 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001125667367
TypeChannel
Username@systemsthinkinglife
Created12 March 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/systemsthinkinglife

Growth

1,5171,5231,5207 August 2026 — 1,517 subscribers7 August 2026 — 1,517 subscribers8 August 2026 — 1,518 subscribers11 August 2026 — 1,523 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +6. 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 1,516–1,524 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 11:321,523+5
8 Aug 2026, 07:141,518+1
7 Aug 2026, 21:461,517no change
7 Aug 2026, 16:101,517first reading

Engagement

18 posts held, back to 1 June 2026the 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
23.7%
avg views ÷ 1,523 subscribers
Avg views / post
360
7 posts measured
Reaction rate
4.44%
reactions ÷ views · ER floor
Posts in window
7
of 18 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held18 (1 June 20267 August 2026)
Views total2,523
Reactions total112
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:46 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
3m 07s
Average length
1m 34s

Measured directly from 2 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

238 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 41.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9941.6%
7230.3%
👍6426.9%
🥴20.84%
🙏10.42%

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 18 of the 18 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 238reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 1 June 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
3
of 18 we hold a reading for · 17%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @systemsthinkinglife. 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 18 most recent posts we hold for this entry, published 1 June 2026 to 7 August 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

7 Aug 2026, 12:52 UTC146 views5 reactionsread 7 August 2026

50 первых свиданий с вашим ИИ В фильме «50 первых свиданий» у героини после аварии перестала записываться долговременная память: каждое утро Люси просыпается, помня только то, что было до аварии, и близкие заново рассказывают ей, какой сегодня день. Генри, который в неё влюбился, вынужден знакомиться с ней каждый день заново: отсюда и название фильма. Почти все ИИ-агенты, с которыми мы сегодня работаем, устроены ка

👍5

5 Aug 2026, 06:50 UTC230 views9 reactionsread 7 August 2026

Первый шаг: от случайного к системному саморазвитию У каждого есть свой идеальный образ. Какой я в будущем? Регулярно делаю зарядку, имею дом на море, создаю аэромобили. Если присмотреться, в этом образе всегда два слоя: то, чем я хочу обладать, и то, как я хочу жить. Объекты и стиль жизни. Объекты. Это то, чем я обладаю. Дом на море, аэромобиль. Объект можно показать пальцем, его можно приобрести или потерять. Ст

👍62🔥1

3 Aug 2026, 11:17 UTC325 views17 reactions1 Starread 7 August 2026

Как сделать свой Claude системным 1. Перейдите по ссылке на страницу Claude.ai: https://claude.ai/customize/connectors 2. Нажмите + → Add custom connector 3. Введите в две ячейки Name и URL соответственно — IWE и https://mcp.aisystant.com/mcp (этот url открывать не нужно, а просто вставить в ячейку). 4. Нажмите Save → авторизуйтесь через аккаунт МИМ, а если нет аккаунта — пройди бесплатную регистрацию на сайте https

🔥161

1 Aug 2026, 11:24 UTC356 views31 reactionsread 7 August 2026
Photo

Результаты систематичности на себе Месяц назад взял в работу сразу три навыка: фортепиано, плавание кролем и видеоролики. Итоги вышли неровные, и это уже само по себе интересный результат с учетом того, что я еще настроил для этого свою ИИ-среду (IWE). Хуже всего с роликами. Хотел снимать каждый день, вышло чуть больше десятка. Конвейер пока не собран, но узкое место вижу: слабое качество съёмки убивает стимул прод

🔥1211👍8

29 Jul 2026, 08:26 UTC454 views20 reactionsread 7 August 2026

Дефицит интеллекта Главная ошибка в разговорах об ИИ выглядит безобидно. Человек тихо вычёркивает себя из уравнения. Созидательная мощь равна человеческому интеллекту, умноженному на ИИ. Не сложенному, умноженному. Множитель нельзя выбросить и жить за счёт второго. Но человек ставит себя рядом с моделью и спрашивает: если ИИ умнее меня, зачем нужен я? После такого вопроса остаётся ровно один множитель. Второй списа

👍10🔥73

25 Jul 2026, 04:01 UTC470 views18 reactions1 Starread 7 August 2026

AGI: исследование Хочу поразбираться с AGI, обсудить само понятие и что оно обозначает. Чем больше я читаю объяснения AGI от ведущих лабораторий, тем отчётливее вижу: спорить о том, когда он появится, бессмысленно, пока нет понимания в том, что это вообще такое. Для меня вопрос не академический: от ответа зависит, что именно я строю и зачем. Вот как отвечает индустрия. OpenAI определяет AGI как систему, которая пре

12🔥6

16 Jul 2026, 03:10 UTC542 views12 reactionsread 7 August 2026

Телеметрия мастерства Современные инженерные системы улучшаются не вдохновением, а за счёт измерений. У машины есть характеристики: расход топлива, разгон до сотни, тормозной путь. Есть датчики, которые непрерывно снимают телеметрию. Есть нормативы, причём для городского хэтчбека одни, а для гоночного болида совсем другие. И есть испытательная лаборатория, где инженеры годами доводят и саму машину, и, что даже важне

👍9🥴21

9 Jul 2026, 10:55 UTC624 views10 reactionsread 7 August 2026

Что нужно знать, чтобы получать максимальную пользу от ИИ Я несколько недель использовал ИИ, чтобы он помог мне с тренировками по плаванию и по фортепиано. Начиналось буднично: спросил про технику гребка, спросил про упражнения для пальцев. И каждый раз получал ровный, вежливый и универсальный ответ, годный для кого угодно и ни для кого конкретно. Разбираясь в этом, я вывел для себя простую вещь: весь навык работы с

7👍3

5 Jul 2026, 11:07 UTC678 views22 reactionsread 7 August 2026
Photo

Систематичность даёт результаты: 10 дней плавания Я много пишу про систематичность в работе и саморазвитии. Но этот принцип универсален. Вот свежий пример из физического развития. За 10 дней я вошёл в ритм плавания. Вот как это было. День 1. Еле проплыл 500 метров почти за 18 минут. В пересчёте это 36 минут на километр. Тяжело, медленно, почти без техники и на силе воли. День 2. Не смог заставить себя пойти в бас

🔥148

1 Jul 2026, 09:25 UTC606 views34 reactions2 Starsread 7 August 2026

Планы на вторую половину 2026 С декабря 2025 я глубоко погрузился в разработку и даже стал ИТ-шником. За это время практически собран MVP новой платформы для нашей экосистемы и MVP личного ИИ-помощника (IWE). В этот период смог достичь уровня 60 часов в неделю на работу и саморазвитие. В 2020 году я стартовал с менее чем 30 часов в неделю. До 2026 года я много вложил в постановку методов саморазвития (стратегирован

🔥2410

29 Jun 2026, 08:12 UTC494 views7 reactionsread 7 August 2026

Более 170 человек в онлайн на семинаре Анатолия Леаенчука. Видеозапись и материалы в сообщении, а в чате телеграм большая дискуссия.

3🔥2👍1🙏1

Showing the 12 most recent of 18 posts we hold for @systemsthinkinglife. 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.

Citation-graph rank

Citation-graph rank — 1,004,652 of 1,183,361entries 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

Named by 1 registered channel — 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 August 2026 — this entry's latest reading, not the date you are reading this.

“Системное мышление для жизни” (@systemsthinkinglife), 1,523 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/systemsthinkinglife.

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.