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Channel

Aspiring Data Science

@AspiringDataScience

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

391subscribers

+4 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-1001545118478
TypeChannel
Username@AspiringDataScience
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live13 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/AspiringDataScience

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 22 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 why it has no browse page of its own yet.

Growth

3873913897 August 2026 — 387 subscribers8 August 2026 — 387 subscribers14 August 2026 — 388 subscribers22 August 2026 — 389 subscribers28 August 2026 — 390 subscribers4 September 2026 — 388 subscribers13 September 2026 — 391 subscribers7 August 202613 September 2026
7 measurements spanning 37 days, net +4. 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 386–392 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 09:55391+3
4 Sept 2026, 20:21388-2
28 Aug 2026, 18:54390+1
22 Aug 2026, 18:08389+1
14 Aug 2026, 23:46388+1
8 Aug 2026, 06:03387no change
7 Aug 2026, 14:35387first reading

Engagement

20 posts held, back to 20 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 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
13s
Average length
13s

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

12 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 16.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
216.7%
❤‍🔥216.7%
💯216.7%
😁216.7%
🤮216.7%
18.33%
🆒18.33%

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 7 of the 20 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 July 2026 to 7 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.

Recent posts

5 Aug 2026, 18:38 UTC31 views1 reactionsread 8 August 2026
Forwarded from @kyrillic

Новые Requests for Startups от YC! Это список идей и направлений стартапов, которые ищут партнеры Y Combinator, самого успешного фонда ранних стадий в мире. Прошлые посты про RFS, которые полезны всем фаундерам: S26, W26, S25 ч.1, S25,ч.2, X25, W25, S24. 1️⃣ Про RFS часто говорят "фигня какая-то" или "YC уже не тот". Я напишу то, что многие не понимают про Y Combinator: По большому счету, YC - это продукт для инве

💯1

5 Aug 2026, 18:31 UTC31 views2 reactionsread 8 August 2026
Forwarded from @kyrillicPhoto

Статистика победителей международных олимпиад по математике, информатике, физике: куда они уезжают жить и работать? Диди Дас, партнер Menlo Ventures, собрал интересные данные с 2001 года, по топ-странам - 🇨🇳 Китай, 🇮🇳 Индия, 🇸🇬 Сингапур, 🇻🇳 Вьетнам, 🇰🇷 Корея и 🇷🇺 Россия, всего 1700+ победителей (твит, крупно, данные). 1️⃣ Все, кроме россиян, в основном переезжают в США: из России больше всех остаются дома (более по

1❤‍🔥1

5 Aug 2026, 18:23 UTC37 views3 reactionsread 8 August 2026
Forwarded from @kyrillic

Вышло интересное исследование о том, насколько люди доверяют AI: участникам задавали сложные вопросы и разрешали в любой момент сказать "не знаю". Без LLM так отвечали в 40% случаев, а c LLM - всего в 3-6%. Итог: • точность упала с 28% до 9% • уверенность выросла с 30% до 76% 🙂 К дизайну исследования есть небольшие вопросы, но оно довольно надежно в одной теме - как люди себя ведут, когда на сложный вопрос под руко

💯1🤮1🆒1

5 Aug 2026, 16:07 UTC45 views2 reactionsread 8 August 2026
Forwarded from @kyrillic

Как-то плотно пошли новости в ЕС и других развитых странах об ужесточении правил приватности интернет-юзеров: 1️⃣ Идут жаркие бюрократические обсуждения Chat Control в ЕС, который частично принят. Это когда платформа может сканировать наши приватные (!) чаты, сигнализируя куда нужно о контенте и переписках, вредящих детям. Сейчас основной спор бюрократов в том, включать ли в chat control зашифрованные e2e сообщения

1🤮1

5 Aug 2026, 05:31 UTC54 viewsread 8 August 2026

#healthcare #medicine Хороший подход, когда модели\метрики рассчитываются на подгруппах признаков отдельно. https://www.youtube.com/watch?v=4Ulrsb_MSFo

1 Aug 2026, 00:53 UTC74 views1 reactionsread 8 August 2026

#ufo Снова этот jellyfish, похожий на фигуру человека в костюме и с реактивным ранцем, меняющий форму. Эту хрень снимают по всему миру. ЧТО ЭТО? https://youtu.be/F0N7V04U1kw?t=205

😁1

31 Jul 2026, 03:36 UTC77 viewsread 8 August 2026

#llms "Публичные бенчмарки помогают увидеть общую картину, но плохо предсказывают, как модель поведёт себя в конкретном продукте. На реальных данных и task-specific метриках расстановка сил между моделями может заметно меняться: одни хуже работают с доменной терминологией, другие не выдерживают нужный формат ответа, третьи дают приемлемое качество, но выигрывают по стоимости или снижают зависимость от внешнего прова

30 Jul 2026, 08:14 UTC66 views2 reactionsread 8 August 2026
Forwarded from @kyrillic

Как часто айтишники меняют работу. Наверное многих удивили данные Ravio (пост), что в ЕС tech специалисты меняют работу каждые 2 года. Цифра корректная, подтверждается другими источниками. 1️⃣ Заглянул в Евростат, в среднем по всем трудоустроенным (не только айтишникам), смена работы происходит раз в 10 лет. В северных странах чуть чаще - в 🇩🇰 Дании, 🇳🇱 Нидерландах, 🇸🇪 Швеции 8-9 лет, а в южных реже - 🇵🇹 Португалия,

1❤‍🔥1

29 Jul 2026, 01:20 UTC68 viewsread 8 August 2026

#healthcare #medicine #ai #llms https://www.youtube.com/watch?v=R-jhdYaHK7I

Showing the 12 most recent of 20 posts we hold for @AspiringDataScience. 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

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

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

“Aspiring Data Science” (@AspiringDataScience), 391 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/AspiringDataScience.

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.