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Channel

Reliable ML

@reliable_ml

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

6,606subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001638778845
TypeChannel
Username@reliable_ml
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/reliable_ml

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

6,6026,6166,6097 August 2026 — 6,605 subscribers7 August 2026 — 6,605 subscribers10 August 2026 — 6,606 subscribers13 August 2026 — 6,604 subscribers16 August 2026 — 6,602 subscribers19 August 2026 — 6,605 subscribers22 August 2026 — 6,606 subscribers25 August 2026 — 6,613 subscribers27 August 2026 — 6,614 subscribers30 August 2026 — 6,615 subscribers8 September 2026 — 6,607 subscribers15 September 2026 — 6,603 subscribers30 September 2026 — 6,607 subscribers7 October 2026 — 6,604 subscribers13 October 2026 — 6,610 subscribers16 October 2026 — 6,607 subscribers18 October 2026 — 6,609 subscribers21 October 2026 — 6,613 subscribers24 October 2026 — 6,612 subscribers27 October 2026 — 6,608 subscribers30 October 2026 — 6,616 subscribers2 November 2026 — 6,613 subscribers6 November 2026 — 6,610 subscribers9 November 2026 — 6,606 subscribers6,6067 August 20269 November 2026
24 measurements spanning 95 days, net +1. 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 6,600–6,618 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
9 Nov 2026, 23:566,606-4
6 Nov 2026, 06:016,610-3
2 Nov 2026, 20:496,613-3
30 Oct 2026, 12:166,616+8
27 Oct 2026, 14:166,608-4
24 Oct 2026, 03:276,612-1
21 Oct 2026, 14:106,613+4
18 Oct 2026, 17:276,609+2
16 Oct 2026, 02:006,607-3
13 Oct 2026, 10:376,610+6
7 Oct 2026, 04:406,604-3
30 Sept 2026, 14:166,607+4
15 Sept 2026, 20:576,603-4
8 Sept 2026, 12:176,607-8
30 Aug 2026, 20:436,615+1
27 Aug 2026, 19:066,614+1
25 Aug 2026, 05:166,613+7
22 Aug 2026, 12:466,606+1
19 Aug 2026, 08:246,605+3
16 Aug 2026, 18:136,602first reading

Engagement

24 posts held, back to 18 January 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 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
30.3%
avg views ÷ 6,606 subscribers
Avg views / post
2,000
3 posts measured
Reaction rate
2.13%
reactions ÷ views · ER floor
Posts in window
3
of 24 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 25 October 2026
Posts held24 (18 January 2026 – 25 October 2026)
Views total6,000
Reactions total128
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 16:58 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.

Reaction mix

592 reactions across 22 posts, in 22 distinct kinds. The most used accounts for 32.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19032.1%
🔥17128.9%
👍7312.3%
💊355.91%
😁305.07%
❤‍🔥213.55%
⚡142.36%
😎122.03%
👏71.18%
😨71.18%
🎉50.845%
🤣50.845%
🤩50.845%
😍30.507%
🤔30.507%
☃20.338%
🍾20.338%
🏆20.338%
🤓20.338%
😘10.169%
2 further kinds20.338%

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 23 of the 24 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 592 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 18 January 2026 to 25 October 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
2
across the posts below
Posts paid on
2
of 24 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @reliable_ml. 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 24 most recent posts we hold for this entry, published 18 January 2026 to 25 October 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

Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

25 Oct 2026, 09:09 UTC≈1,500 views51 reactionsread 9 November 2026

Митап про Causal Inference возвращается! Когда-то мы провели очень клевый митап по A/B тестированиюю С той поры в Causal Inference случилось много интересного. Мы решили собрать еще один митап, в начале января 2027. Пока решаем - онлайн или вживую в Москве. Склоняемся ко второму варианту. Уже есть пара интересных спикеров, ищем еще. Если у Вас есть, что рассказать про Causal Inference - пишите Ирине или Дмитрию, M…

❤28🔥10👍9😨2💊1😘1

23 Oct 2026, 19:45 UTC≈1,680 views26 reactionsread 9 November 2026
Photo

Прогнозы Капитанского мостика Потихоньку возвращаемся к ведению канала, движу и вообще к сообществу. Сейчас соберем анонсы, есть про что рассказать. А пока - статистика предсказаний подкаста Капитанский Мостик. Точнее, чем прогноз погоды. Всего 2% ошибок https://kolodezev.ru/predictions.html Ваш @Reliable ML #занимательная_статистика

😎12🤣4🔥3🏆2👍2💊2👏1

14 Oct 2026, 13:03 UTC≈2,820 views51 reactionsread 9 November 2026

Немного новостей о внедрении AI Развитие AI приводит к шокирующим открытиям на уровне отрасли. Собрали для вас ценную инфо. Оказывается: - чем лучше продумать, какой результат хочется получить на выходе, тем лучше будет выхлоп от AI - если не смотреть системно на процесс и то, для чего делаем изменения, то он может даже ухудшиться с внедрением AI - без метрик качества демо AI-продукта остаётся демо - если данны…

😁25💊18😍3👍2🔥2🤔1

18 Sept 2026, 14:14 UTC≈3,200 views25 reactionsread 9 November 2026
Forwarded from @kartaevmacroPhoto

Наслаждаюсь работой на конференции дата-аналитиков на экономическом факультете МГУ. Тут собралось много хороших спецов из Яндекса, Сбера, Раффайзена, Озона, WB и других солидных компаний. Программа доступна тут, и если вы рядом, то все еще можно успеть заглянуть. Мне очень нравится: Во-первых, здорово встретить много наших выпускников, которые ушли в индустрию вместо академической карьеры, и с которыми поэтому я ре…

🔥12❤8💊2😨2👍1

18 Sept 2026, 14:14 UTC≈2,190 views11 reactionsread 9 November 2026

Конференция дата-аналитиков на Экономфаке МГУ Новости за сегодня) Перепост ниже. Прийти на родной факультет и в родной ВУЗ - это всегда вдохновение и теплота в сердце. И благодарность за глубокую фундаментальную подготовку. Круто, что факультет продолжает быть на острие трендов и так сильно вкладываться в развитие учеников. Ваш @Reliable ML #мысли_вслух

❤5🔥3👍1💊1😨1

4 Aug 2026, 15:08 UTC≈3,320 views10 reactionsread 9 November 2026

Не в тему - но про ИИ Тут пришли ребята (на самом деле девчата, @Antonina_Zhiteneva) - они делают исследование про ИИ и общество. Исследование бесплатное, мы с ним не связаны никак. Но тема интересная, почему не поддержать коллег. Вот что пишет Антонина: Мы проводим международное исследование о том, как люди воспринимают аргументы, созданные ИИ, в обсуждении общественно значимых вопросов (IRB #19354). Если вам ин…

❤8😨2

15 Jul 2026, 19:24 UTC≈4,190 views36 reactions1 Starread 9 November 2026
Photo

LLM Evaluation как задача Causal Inference #1 Первая заметка серии, посвященной современным методам оценки качества систем искусственного интеллекта. Когда мы создаем сложные системы на основе LLM, нам приходится принимать много решений - о данных, способах дообучения моделей, архитектурах, контексте, инструментах и проч. Измеряем качество работы нашего пайплайна и улучшаем его. В статье Causal Methods for LLM Dev…

❤14💊10👍8🔥4

14 Jul 2026, 09:51 UTC≈3,170 views24 reactionsread 9 November 2026

Ура, доклады с Датафеста! Секция ReliableML Датафеста доступна на сайте ods.ai https://ods.ai/tracks/df26-reliable-ml Секция DataStrategy с докладом Ирины тоже доступна https://ods.ai/tracks/df26-data-strategy Ваш @Reliable ML #reliable_ml #datafest #дождались

❤16🎉5🍾2🔥1

17 Jun 2026, 09:14 UTC≈3,860 views86 reactions1 Starread 9 November 2026

Каникулы Бонифация Или ML System Design - наше все В этом году устроила для себя необычный отпуск - поехала с маленькой дочкой в ее первый математический лагерь: напитаться детским счастьем, поддержать интерес к математике, а еще пооткисать за любимыми делами и пет-проектами пока детей занимают) Оказалось, что в матлагеря детей везут очень интересные родители. Довольно быстро мы перезнакомились и я обнаружила себя …

❤47🔥19❤‍🔥7😁5👍3👏3💊1🤣1

31 May 2026, 08:14 UTC≈3,410 views0 reactionsread 9 November 2026

Онлайн Data Strategy от Reliable ML - уже начали! Data Fest 2026, Online, в 11:00 Стартовали онлайн Data Strategy! Нас ждет 2 доклада! 11:00-11:30 - Александр Кулиев - Data-Driven трансформация в ритейле: выученные уроки на пути от хаоса к культуре 11:30-12:00 - Мария Зырянова - Как внедрять AI в продукты, если они разные? Ссылка для подключения тык. Ваш @Reliable ML #reliable_ml #data_strategy #data_fest

29 May 2026, 16:49 UTC≈3,690 views10 reactionsread 9 November 2026

Practical ML Conf - заканчивается подача докладов Дружественный Петр Ермаков пишет: Друзья, привет!) осталось менее 3х суток для подачи докладов на Practical ML Conf, и форма подачи продлеваться не будет. Закидывайте ваши заявки) Кисель налью каждому выступающему! https://pmlconf.yandex.ru/2026/call-for-papers

👍4🔥4❤2

28 May 2026, 10:58 UTC≈5,190 views6 reactionsread 9 November 2026
Photo

Секция Data Strategy от Reliable ML Data Fest 2026, Online, Анонс В это воскресенье проведем онлайн-день секции Data Strategy. К нам придут 2 очень интересных спикера. Фокус - опыт разработки и внедрения стратегии по данным и AI, эффективный и системный подход к масштабированию AI в организациях. Всех ждем! Только надо зарегистрироваться. Онлайн-день будет на платформе DION. Инструкции и ссылки по подключению появ…

👍5❤1

Showing the 12 most recent of 24 posts we hold for @reliable_ml. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

9 Feb 2026, 07:52 UTCAnonymous Poll326 voters

А как у вас обстоят дела с эффектами от GenAI?

  1. Есть реальный ощутимый на уровне компании велью от GenAI28%
  2. Зарабатывает деньги классический ML, а GenAI пока для души, экспериментов и первых прикидок72%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 24 most recent posts we hold, published 18 January 2026 to 25 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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 6 registered channels — 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Время Валеры
@cryptovalerii · 32,082
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 6 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,105
Telegram ranks this channel #33 of 94 here — alongside 93 others — read 10 September 2026
karpov.courses
@KarpovCourses · 27,313
Telegram ranks this channel #36 of 96 here — alongside 95 others — read 10 September 2026
Yandex for ML
@yandexforml · 19,136
Telegram ranks this channel #43 of 96 here — alongside 95 others — read 4 October 2026
Machine learning Interview
@machinelearning_interview · 30,560
Telegram ranks this channel #49 of 98 here — alongside 97 others — read 7 September 2026
Data Science | Machinelearning [ru]
@devsp · 19,659
Telegram ranks this channel #56 of 91 here — alongside 90 others — read 30 September 2026
Job for Analysts & Data Scientists
@foranalysts · 37,857
Telegram ranks this channel #72 of 96 here — alongside 95 others — read 1 September 2026
Data Science Jobs
@datasciencejobs · 22,587
Telegram ranks this channel #73 of 93 here — alongside 92 others — read 21 September 2026
Data Secrets
@data_secrets · 96,035
Telegram ranks this channel #73 of 98 here — alongside 97 others — read 17 August 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,695
Telegram ranks this channel #74 of 93 here — alongside 92 others — read 16 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,923
Telegram ranks this channel #74 of 93 here — alongside 92 others — read 25 August 2026
LLM под капотом
@llm_under_hood · 30,219
Telegram ranks this channel #80 of 96 here — alongside 95 others — read 9 September 2026
Data Science Jobs
@datascienceml_jobs · 21,642
Telegram ranks this channel #83 of 97 here — alongside 96 others — read 24 September 2026
Kali Novskaya
@rybolos_channel · 19,136
Telegram ranks this channel #88 of 93 here — alongside 92 others — read 4 October 2026
Инжиниринг Данных
@rockyourdata · 23,679
Telegram ranks this channel #88 of 93 here — alongside 92 others — read 17 September 2026
Machinelearning
@ai_machinelearning_big_data · 275,659
Telegram ranks this channel #91 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Reliable ML” (@reliable_ml), 6,606 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/reliable_ml.

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.