Telegram RegisterThe public register of Telegram

Channel

Математика Дата саентиста

@data_math

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

14,121subscribers

-9 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001907197561
TypeChannel
Username@data_math
CreatedBetween 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/data_math

Growth

14,11514,13014,122.56 August 2026 — 14,130 subscribers6 August 2026 — 14,130 subscribers6 August 2026 — 14,125 subscribers8 August 2026 — 14,123 subscribers9 August 2026 — 14,116 subscribers10 August 2026 — 14,115 subscribers11 August 2026 — 14,117 subscribers12 August 2026 — 14,121 subscribers14,1216 August 202612 August 2026
8 measurements spanning 7 days, net -9. 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 14,113–14,132 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:4414,121+4
11 Aug 2026, 21:0614,117+2
10 Aug 2026, 19:1314,115-1
9 Aug 2026, 20:3114,116-7
8 Aug 2026, 23:5314,123-2
6 Aug 2026, 22:4014,125-5
6 Aug 2026, 02:2214,130no change
6 Aug 2026, 02:1814,130first reading

Engagement

22 posts held, back to 22 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.8%
avg views ÷ 14,121 subscribers
Avg views / post
1,660
22 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 10 August 2026
Posts held22 (22 July 202610 August 2026)
Views total36,607
Reactions total436
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 11:26 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
51m 20s
Average length
51m 20s

Measured directly from 1 video 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

418 reactions across 20 posts, in 19 distinct kinds. The most used accounts for 38.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16138.5%
👍8319.9%
🔥7417.7%
😁4410.5%
💯112.63%
🤯102.39%
81.91%
🥴51.20%
😭40.957%
💩30.718%
🤡30.718%
👀20.478%
👎20.478%
🤔20.478%
🥰20.478%
❤‍🔥10.239%
🍾10.239%
👏10.239%
🫡10.239%

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 22 of the 22 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 436reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 22 July 2026 to 10 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.

Advertising

Ad load
4.55%
1 of 22 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,920
over 1 measured post
Median views · rest
1,610
over 21 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFJNVCAV124 July 202624 July 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 22 most recent posts we hold, published 22 July 2026 to 10 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

10 Aug 2026, 10:37 UTC595 views3 reactionsread 12 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

✔️ Vercel, OpenAI и Microsoft представили единый стандарт упаковки плагинов для агентов Vercel совместно с AWS, GitHub, Microsoft, OpenAI и командой Cursor выпустила открытый формат Agent Plugins. Стандарт унифицирует упаковку плагинов для ИИ-агентов. Ранее структуру директорий и конфигурации навыков или MCP-серверов приходилось адаптировать под каждый клиент. Теперь достаточно собрать расширение в единую файловую

3

10 Aug 2026, 08:37 UTC902 views4 reactionsread 12 August 2026
Photo

🎓 Если вы планируете поступать в ШАД в 2027 году, сейчас можно присоединиться к текущему потоку ShadHelper. Мы больше 6 лет готовим к ШАД и ML-магистратурам. Среди преподавателей - специалисты из Сбера, МГУ и МФТИ; 120+ выпускников уже поступили в ШАД и ML-магистратуры. Курс рассчитан на системную подготовку за год: математика, теория вероятностей, дискретная математика и алгоритмы, регулярная практика, домашние за

3💩1

9 Aug 2026, 11:07 UTC≈1,080 views43 reactionsread 12 August 2026
Photo

🧠 ОДИН ДУЭЛЬ ЧУТЬ НЕ УНИЧТОЖИЛ БУДУЩЕЕ МАТЕМАТИКИ В 1832 году 20-летний математик умер после дуэли. Его звали Эварист Галуа. Но за несколько лет до смерти он сделал открытие, которое изменило математику навсегда. В 18 лет Галуа создал идеи, которые позже стали основой теории Галуа. Более 2000 лет математики пытались найти универсальную формулу для решения многочленов. Они смогли решить уравнения: ✅ 2-й степени

20🔥10😁6👍3💩2🤡2

6 Aug 2026, 13:00 UTC≈1,500 views16 reactionsread 12 August 2026
Photo

Photo, posted without a caption

🔥124

6 Aug 2026, 11:02 UTC≈1,550 views3 reactionsread 12 August 2026
Photo

Как выглядят задачи машинного обучения в бигтехе? Открыта регистрация на E-CUP 2026 Students — ежегодное соревнование от Ozon Tech. В этом сезоне — для студентов, которые интересуются ML, Data Science, Big Data и аналитикой данных. Вас ждут три трека: поиск дубликатов товаров, ИИ-модерация карточек маркетплейса и прогнозирование поведения пользователей. Все задачи основаны на реальных обезличенных данных Ozon. Уча

1👏1🔥1

5 Aug 2026, 12:03 UTC≈1,700 views32 reactionsread 12 August 2026
Photo

Photo, posted without a caption

😁32

4 Aug 2026, 15:02 UTC≈2,030 views24 reactionsread 12 August 2026
Photo

🧠 Математике нейросетей уже 83 года. ChatGPT - всего несколько лет В 1943 году Уоррен Маккаллок и Уолтер Питтс описали математическую модель нейрона: на вход поступают сигналы, проверяется порог, после чего нейрон либо активируется, либо нет. Обучаться такая система ещё не умела. Но авторы показали главное - сети простых нейронов способны выполнять логические операции вроде AND, OR и NOT. Иными словами, несколько п

🔥14👍42🥰2👎1😁1

3 Aug 2026, 12:00 UTC≈1,600 views20 reactionsread 12 August 2026
Photo

Курт Гёдель нашёл «дыру» в Конституции США, которая, по его мнению, позволяла легально превратить страну в диктатуру. В 1947 году, готовясь к экзамену на американское гражданство, один из величайших логиков XX века внимательно изучил Конституцию и заявил, что обнаружил в ней внутреннее противоречие. По воспоминаниям, на собеседовании Гёдель даже попытался объяснить судье, как именно демократическая система теоретич

🔥114😁31👀1

3 Aug 2026, 10:37 UTC≈1,330 views11 reactionsread 12 August 2026
Forwarded from @ai_machinelearning_big_dataPhoto

📌 ИИ-агент Tencent помог решить комбинаторную задачу полувековой давности. Исследовательский агент Hyra на базе открытой модели Hy3, помог ученым разгадать математическую проблему, которая оставалась нерешенной более 50 лет. Задача из области комбинаторной математики касалась того, насколько размер множества сумм целых чисел может превышать размер его множества разностей. Научное сообщество давно доказало, что соо

👍63🔥2

2 Aug 2026, 11:34 UTC≈1,790 views47 reactionsread 12 August 2026
Photo

Photo, posted without a caption

21💯11🔥6😭4👍2👎1🤡1🫡1

1 Aug 2026, 10:22 UTC≈1,520 views14 reactionsread 12 August 2026
Forwarded from @data_analysis_mlPhoto

🤯 OpenAI заявила о десяти прорывах в задачах, которые математики не могли решить десятилетиями Результаты получила внутренняя версия Astra - следующей крупной модели компании. Среди достижений: — построен первый явный пример не-софической группы (особого типа абстрактной алгебраической структуры, которую раньше удавалось описывать только косвенно); — опровергнута гипотеза жёсткости Конна (долгосрочное предположени

122

29 Jul 2026, 12:01 UTC≈2,320 views16 reactionsread 12 August 2026
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📚 Бесплатный учебник по теории игр - 578 страниц Game Theory от Giacomo Bonanno — большой open-source учебник по некооперативной теории игр. Внутри: * основы теории игр и стратегического взаимодействия; * равновесия и принятие решений; * 165 задач с решениями; * 163 иллюстрации; * материал на стыке математики, экономики и Computer Science. Хорошая база для тех, кто занимается ML, Multi-Agent Systems, математикой

12👍2👀1🔥1

Showing the 12 most recent of 22 posts we hold for @data_math. 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.

Citation-graph rank

Citation-graph rank — 132,266 of 1,151,006entries 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 32 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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.

Machinelearning
@ai_machinelearning_big_data · 286,250
Telegram ranks this channel #14 of 95 here — alongside 94 others — read 10 August 2026
Physics.Math.Code
@physics_lib · 145,853
Telegram ranks this channel #15 of 72 here — alongside 71 others — read 13 August 2026
XOR
@xor_journal · 158,763
Telegram ranks this channel #81 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 3 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Математика Дата саентиста” (@data_math), 14,121 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/data_math.

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.