Telegram RegisterThe public register of Telegram

Channel

Три сигмы

@beyond3sigmas

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

1,735subscribers

+3 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002597892512
TypeChannel
Username@beyond3sigmas
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/beyond3sigmas

Growth

1,7311,7351,7336 August 2026 — 1,732 subscribers6 August 2026 — 1,732 subscribers7 August 2026 — 1,731 subscribers10 August 2026 — 1,733 subscribers13 August 2026 — 1,735 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +3. 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 1,730–1,736 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 10:151,735+2
10 Aug 2026, 11:561,733+2
7 Aug 2026, 04:161,731-1
6 Aug 2026, 18:301,732no change
6 Aug 2026, 18:191,732first reading

Engagement

19 posts held, back to 17 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
73.4%
avg views ÷ 1,735 subscribers
Avg views / post
1,270
2 posts measured
Reaction rate
4.71%
reactions ÷ views · ER floor
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 29 July 2026
Posts held19 (17 August 202529 July 2026)
Views total2,547
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:39 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
1m 36s
Average length
32s

Measured directly from 3 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

1,058 reactions across 19 posts, in 30 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥43541.1%
25023.6%
👍15214.4%
😁494.63%
🏆242.27%
❤‍🔥222.08%
🫡181.70%
🌚171.61%
👀121.13%
👏90.851%
🎉70.662%
💩60.567%
💯60.567%
😱60.567%
🤔60.567%
🥴60.567%
🦄60.567%
😇50.473%
👾30.284%
🗿30.284%
10 further kinds161.51%

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 19 of the 19 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 1,058reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 17 August 2025 to 29 July 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
511
across the posts below
Posts paid on
18
of 19 we hold a reading for · 95%
Most on one post
86
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @beyond3sigmas. 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 19 most recent posts we hold for this entry, published 17 August 2025 to 29 July 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

29 Jul 2026, 21:09 UTC927 views68 reactions3 Starsread 7 August 2026
Photo

Gracia Rendering SDK Если мы что-то и умеем, так это запускать сложные вещи на мобильных GPU. Делаем это уже 10 лет, еще со времен Призмы. Gracia работает нативно почти на всех рендеринг платформах (iOS, macOS, visionOS, Windows, Linux, Quest, Pico, Android, AndroidXR), предлагая с большим отрывом обгоняющий опен-сорс и конкурентов перфоманс. Первым мы релизнули WebGPU SDK, но теперь дропаем C/C++ Vulkan, Swift Meta

🔥50👍153

16 Jul 2026, 20:08 UTC≈1,620 views52 reactions57 Starsread 7 August 2026
Photo

Я снова на Книжном челе Этот канал начался с моего прошлого визита к Грише, год спустя всё те же — всё там же. Записывали это месяц назад на моём пике обсессии с фидбек лупами, так что эта тема доминирует. Посмотрите! ▶️ YouTube P.S. Говорят, когда фаундер ходит на 6 подкастов за 2 месяца, это к хайрингу 😇

🔥309👀6😇5👍2

13 Jul 2026, 09:29 UTC≈2,280 views32 reactions54 Starsread 7 August 2026
File

Prompt engineering is not dead? Официальный промпт OpenAI для 5.6 Sol, с помощью которого получилось решить CDC задачку. Если вы работаете над open problems, то советую вдохновиться приемами из их подхода к формулированию инструкций.

16🔥9👀6🤔1

11 Jun 2026, 16:52 UTC≈11,300 views100 reactions3 Starsread 7 August 2026
Video

Meta Reality Labs x Gracia Честно, не думал, что нам можно будет про это рассказывать. Год назад мы познакомились с ресерчером из MRL и он предложил реконструировать «музыкальное представление» для них. Мы такие: да без проблем, у нас большой опыт. Пожали руки, начали ждать футаж. Когда получили, не могли поверить своим глазам: кромешная тьма, шум, дым машины, строббинг освещение, толпа рейвящих людей. Я не думаю,

🔥71❤‍🔥18🎉72👍1👏1

6 Jun 2026, 10:50 UTC≈2,690 views58 reactions8 Starsread 7 August 2026
File

Сила воли как опасное заблуждение Рассказываю о своём глубоком фундаментальном убеждении в построении командных процессов и как из этого вытекает [почти] полный отказ от бывших когда-то стандартами ритуалов (например, code-review или manual QA).

👍27🔥158🤔3💅2💯1🥱1😱1

5 Jun 2026, 12:09 UTC≈3,430 views86 reactions75 Starsread 7 August 2026
Photo

Вольюметрическое видео для Muse Самый большой наш музыкальный проект со времен работы с Big Sean, но теперь уже для клипа стадионной группы. Сидим довольные. ▶️ YouTube

🔥6018😱5💘2👍1

24 May 2026, 08:46 UTC≈2,660 views44 reactions86 Starsread 7 August 2026
Photo

HTML > Markdown Подсел на новый прием — генерацию презентационных деков моделькой после изнурительной работы. Я сейчас активно занимаюсь построением ресерч-майнинг-лупов и когда модель за два дня попробовала 229 идей, fucking hell всё это отсматривать и валидировать. Я еще докручиваю свой harness, но последние пару недель, когда просыпаюсь, примитивным промптом прошу сделать мне презентацию о том, что получилось, чт

🔥29👍87

2 Apr 2026, 07:27 UTC≈3,130 views47 reactions5 Starsread 7 August 2026
File

Стратегии, учитывающие ускорение В преддверии хайп-трейна Mythos и Spud, делюсь компиляцией впечатлений от влияния ускорения на наш подход к работе. Сегодня о первостепенности feedback-loop’ов, стратегическом планировании и новом типе задачек, для которых нужно выработать свежую интуицию.

👍25🔥127🍓2💊1

1 Apr 2026, 12:44 UTC≈3,850 views90 reactions30 Starsread 7 August 2026
File

ИИ, деньги, сокращения Проделал большую работу, написав текст, который ставит перед собой цель суммаризировать и осмыслить весь текущий дискурс. Прочитайте его. Прочитайте его еще раз. Потом попросите телефон его озвучить.

😁46🌚17👍9💩6🥴65🔥1

14 Mar 2026, 09:38 UTC≈3,320 views78 reactions15 Starsread 7 August 2026
Video

Выкатили стриминг сплатов С начала года работали над тем, чтобы впихнуть наш вольюметрический кодек в 75Mbps битрейт. Помню, как в начале проекта увиливал от вопросов инвесторов про трансляции и сам не особо верил, что мы до них добежим. Теперь это в моём айфоне. В одном релизе сделали CDN инфру для раздачи видео по всему миру, рендеринг в браузере (даже в WebXR), пространственное аудио и даже зачатки релайтинга! К

🔥4120🦄6🏆4👍32🌭2

28 Jan 2026, 17:26 UTC≈3,890 views62 reactions32 Starsread 7 August 2026
File

Вторая смена идиотов Пал жертвой массовой истерии вокруг Ральфа Виггума и предпринял попытки начать делать фичи его силами в ночную смену. Ускорить работу пока не получилось, зато окончательно понял, какой должна быть наша вторая фаза ИИ-ориентированности.

🔥3813👍8🗿3

16 Nov 2025, 07:58 UTC≈5,770 views42 reactions2 Starsread 7 August 2026
File

The Hardware Lottery Исследовательские идеи побеждают не из-за фундаментального превосходства, необходим мэтч с конъюнктурой софта и железа. Строим ли мы лестницу до Луны, скейля трансформеры? Почему между первым backpropagation и AlexNet прошло 30 лет? Причем здесь закон Мура и как быть после него? Эссе Сары Хукер (2020, Google) вводит одноименный термин и комплексно рассматривает историю ИИ. Текст напичкан ссылка

🔥26🏆9🫡4👍21

Showing the 12 most recent of 19 posts we hold for @beyond3sigmas. 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 — 424,087 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Три сигмы” (@beyond3sigmas), 1,735 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/beyond3sigmas.

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.