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Channel

IA (INTELLIGENCE AMPLIFICATION). PHGTLSM

@phgtlsm_ia

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

25subscribers

+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-1001337355014
TypeChannel
Username@phgtlsm_ia
DescriptionКоучинг, личная эффективность, Culturebook 2.0. #datastorytelling #dataviz #centaur
Created10 June 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded11 August 2026
Last confirmed live16 August 2026
Measurements held2
On Telegramt.me/phgtlsm_ia

Growth

257 August 2026 — 25 subscribers11 August 2026 — 25 subscribers7 August 202611 August 2026
2 measurements spanning 4 days. 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 24–26 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 09:0425no change
7 Aug 2026, 19:5725first reading

Engagement

19 posts held, back to 30 May 2025the 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
24.0%
avg views ÷ 25 subscribers
Avg views / post
6.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 19 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 27 July 2026
Posts held19 (30 May 202527 July 2026)
Views total12
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 09:04 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
243
Videos
36
Links
508

Lifetime counters from Telegram’s own channel header, read 11 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.

Recent posts

27 Jul 2026, 14:12 UTC6 viewsread 11 August 2026
Forwarded from @theworldisnoteasyPhoto

На Земле уже около 30 миллионов супер-инфоргов В 2026 их число удваивается каждые 55 дней Еще 4 года назад я предупреждал: «Мы живем в интересное время. На смену антропоцену, эпохе технологического освоения материи и энергии, приходит новацен – эпоха технологического освоения информации. И жить в новой эпохе, скорее всего, будут не Homo sapiens, а инфорги – люди следующего поколения, проводящие в онлайфе (цифровой он

14 May 2026, 00:34 UTC15 viewsread 11 August 2026
Forwarded from @data_secretsPhoto

Исследователь из Google написал статью о том, почему ИИ никогда не сможет обладать сознанием Он утверждает, что ни при какой мощности моделей, ни через 10, ни через 100 лет, в них не сможет зародиться сознание. ИИ может только идеально имитировать сознание. Причина – в логической ошибке, которую автор обозвал Abstraction Fallacy (ошибка абстракции). Сейчас, в основном, считается, что если система ведет себя разумно

3 May 2026, 05:29 UTC10 viewsread 11 August 2026
Forwarded from @kot_shPhoto

Эволюция культуры и технологий идет все быстрей, - но что происходит с биологической эволюцией нашего вида? Логично предположить, что она замедлилась, - ведь давление естественного отбора вроде бы ослабевало по мере развития культуры и технологий? Но новое исследование геномов древних людей, крупнейшее в истории, показало, что эволюция человека ускорилась за последние 10 000 лет. Переход к сельскому хозяйству только

7 Dec 2025, 14:12 UTC30 viewsread 11 August 2026
Forwarded from @theworldisnoteasy

Секрет эффективной работы с ИИ – не промпт-инжиниринг, а ксенопсихология и эмпатия к нечеловеческому разуму ▶️ Слушать пост в предыдущем посте 👆 Вы замечали, что одни люди извлекают из ChatGPT блестящие инсайты, а другие получают безликую муть? Для одних LLM – интеллектуальный усилитель, для других – бесполезная игрушка. Мы думали, это вопрос техники промптинга. Оказалось – психологии чужого разума. Новое исследовани

7 Dec 2025, 14:09 UTC20 viewsread 11 August 2026
Forwarded from @theworldisnoteasyPhoto

Начинается эра «металюдей» Постчеловеческая наука уже здесь Людям может остаться лишь подбирать крошки со стола науки. 25 лет назад Тед Чан написал пророческий научно-фантастический рассказ «Эволюция человеческой науки» (The Evolution of Human Science), начинавшийся так: «25 лет прошло с тех пор, как нашим редакторам был подан для публикации последний отчет об оригинальных исследованиях, и потому самое время вернутьс

25 Oct 2025, 21:46 UTC20 viewsread 11 August 2026
Photo

https://x.com/pontusab/status/1981689626101469601?s=46&t=IO_D6IRtK8iS_1pLCdDWnA

28 Sept 2025, 18:02 UTC21 viewsread 11 August 2026

https://aijourn.com/the-future-of-ai-in-the-creative-industry-how-technology-is-transforming-design/

28 Sept 2025, 10:27 UTC21 viewsread 11 August 2026
Forwarded from @kryak_startupPhoto

На самом деле откликнулась эта картинка. Из-за этого я перестал делать больше 3х созвонов в неделю 🤷‍♂️

28 Sept 2025, 10:26 UTC18 viewsread 11 August 2026
Forwarded from @kryak_startup

🚀У кого-то из фб украл про продуктивность. Но не продуктивную продуктивность расти закрытия ОКР типа zero-inbox и других «vanity» метрик в голове, а про печальную реальность, когда для погружения в работу нужно изолироваться не только физически, но и ментально от всяких ненужных мыслей. (с) кто-то из с фб с МТС 🔴 🔗 https://www.lennysnewsletter.com/p/time-management-techniques-that-actually - Lenny Rachitsky (экс-пр

21 Jul 2025, 19:19 UTC24 viewsread 11 August 2026
Forwarded from @kot_shPhoto

Языковые модели выдают нам не результаты своих индивидуальных размышлений, создаваемых в рамках построенной на основе собственного опыта картины мира, - а наши же коллективные представления. В их ответах те же смыслы, слепые пятна, общепринятые заблуждения и ценности, что и в материалах, на которых они учились, - это представления и ценности тех обществ, которые их создают. То есть, западные? Не совсем. Прочитал тут

Showing the 12 most recent of 19 posts we hold for @phgtlsm_ia. 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.

Forward network

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

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.

“IA (INTELLIGENCE AMPLIFICATION). PHGTLSM” (@phgtlsm_ia), 25 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/phgtlsm_ia.

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.