Telegram RegisterThe public register of Telegram

Channel

Интересное что-то

@youknowds

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

620subscribers

+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-1001107549329
TypeChannel
Username@youknowds
DescriptionМатериалы и мысли, понадерганные отовсюду Блог: https://t.me/asisakov_channel Чат: https://t.me/youknowds_chat
Created21 July 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/youknowds

Growth

6207 Aug 2026, 20:03 — 620 subscribers8 Aug 2026, 03:02 — 620 subscribers7 Aug 2026, 20:038 Aug 2026, 03:02
2 measurements taken within a single day. 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 619–621 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 03:02620no change
7 Aug 2026, 20:03620first reading

Engagement

20 posts held, back to 10 July 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
19.2%
avg views ÷ 620 subscribers
Avg views / post
119
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (10 July 20264 August 2026)
Views total1,191
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:02 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
2,800
Videos
255
Links
4,650

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. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Recent posts

4 Aug 2026, 09:23 UTC84 viewsread 8 August 2026
Forwarded from @general_it_talks

Я принес. Обучение и удержание Сегодня сразу два поста от титана оргпсихологии — Дмитрия Болдырева. Один про то, как строить обучение взрослых людей на работе так, чтобы оно действительно работало: https://t.me/dmiboldyrev/129 Второй про удержание ценного сотрудника: https://t.me/dmiboldyrev/130 Я хочу отметить, что данные посты представляют собой компактные, но по сути довольно емкие чеклисты и инструкции к дейс

28 Jul 2026, 23:04 UTC134 viewsread 8 August 2026
Forwarded from @stats_for_science

Топ каверзных вопросов по статистике с собеседований. Часть 2 Продолжение разбора вопросов, вторая часть. Первая часть была здесь. Поехали! 🟡Дизайн готов, A/B тест запущен. Продакт волнуется и смотрит результаты каждый день, в один день пишет, что ключевая метрика статистически значимо упала, надо отключать. Что делаем? Тут спрятаны сразу две ловушки: 1. Проблема подглядывания. Нельзя смотреть результаты каждый д

26 Jul 2026, 16:50 UTC139 viewsread 8 August 2026
Forwarded from @stats_for_science

Топ каверзных вопросов по статистике с собеседований. Часть 1 Сегодня разберем самые интересные, на мой взгляд, вопросы и типичные ловушки. В изначальной версии получилось довольно много, поэтому мне посоветовали разделить пост на два. Правильные ответы спрятала под спойлером, попробуйте сначала ответить сами. Здесь не будет вопросов "что такое p-value" или "что такое доверительный интервал". Хотя они могут встретит

24 Jul 2026, 10:09 UTC135 viewsread 8 August 2026
File

Всем привет! Намедни меня позвали побыть говорящей головой на TurboML конференцию. Доклад был о том, как мы завариваем online-RL для alignment'а LLMок, какие сейчас есть модные подходы. Тайминг, к сожалению, не предполагал детального разбора всего вширь (благо разбирать есть чего), поэтому доклад скорее обзорный. Возможно, кому-нибудь будет интересно \ полезно. Запись с таймкодом: https://www.youtube.com/live/Srt5gLQ

13 Jul 2026, 20:16 UTC182 viewsread 8 August 2026
Forwarded from @rybasharp

Max Dama on Automated Trading Недавно видел в Реддите дискуссию о том, кто из quant-инфлюенсеров - Christina Qi или Giuseppe Paleologo (Gappy) - прав. Дискуссия предсказуемо пришла к тому, что ни Кристина, ни Гаппи не обладают необходимой квалификацией! Я не настолько радикален - все-таки Кристина несколько лет была CEO своего хедж-фонда, а сейчас СЕО компании DataBento, которая продает данные для трейдинга. Гаппи

Showing the 12 most recent of 20 posts we hold for @youknowds. 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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Интересное что-то” (@youknowds), 620 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/youknowds.

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.