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Channel

🍳 Датазавтраки ☕️ НСК (Академ)

@databreakfast

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

677subscribers

+9 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001877548720
TypeChannel
Username@databreakfast
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/databreakfast

Growth

668677672.56 August 2026 — 668 subscribers6 August 2026 — 668 subscribers13 August 2026 — 669 subscribers20 August 2026 — 671 subscribers27 August 2026 — 674 subscribers4 September 2026 — 677 subscribers6 August 20264 September 2026
6 measurements spanning 29 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 667–678 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 07:37677+3
27 Aug 2026, 14:04674+3
20 Aug 2026, 04:43671+2
13 Aug 2026, 03:34669+1
6 Aug 2026, 16:40668no change
6 Aug 2026, 13:48668first reading

Engagement

18 posts held, back to 4 August 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 18 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

8 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍450.0%
225.0%
112.5%
🔥112.5%

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 6 of the 18 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 4 August 2026 to 5 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, 04:24 UTC109 viewsread 6 August 2026

И про POD https://en.wikipedia.org/wiki/Proper_orthogonal_decomposition

5 Aug 2026, 04:23 UTC98 views1 reactionsread 6 August 2026

Нашел про внутреннюю размерность на русском https://ru.wikipedia.org/wiki/Теорема_Косамби_—_Карунена_—_Лоэва

👍1

4 Aug 2026, 04:24 UTC134 viewsread 6 August 2026
File

Страница 340 и дальше описывает задачу с камерами

4 Aug 2026, 04:14 UTC133 viewsread 6 August 2026

Курс читал Ido Bright, сейчас работает в Lift, тогда работал в University of Washington https://scholar.google.com/citations?user=eVq-go8AAAAJ&hl=en

4 Aug 2026, 04:14 UTC130 viewsread 6 August 2026
File

Вот домашка с того курса, не совсем про это, тут PCA используется.

4 Aug 2026, 04:13 UTC123 viewsread 6 August 2026
Photo

Бразильский шаман Ido Bright, о котором я рассказывал, использовал Karhunen-Loéve Decomposition для выявления истинной размерности системы. Картинка из его лекций. Еще гуглить Proper Orthogonal Decomposition

4 Aug 2026, 04:08 UTC111 viewsread 6 August 2026

Самый простой способ оценить внутреннюю размерность - взять готовую библиотеку https://scikit-dimension.readthedocs.io/en/latest/

4 Aug 2026, 04:07 UTC100 viewsread 6 August 2026

Рассказывал про внутреннюю размерность задачи https://en.wikipedia.org/wiki/Intrinsic_dimension

4 Aug 2026, 04:00 UTC96 viewsread 6 August 2026

На последнем датафесте мы с Ириной Голощаповой собрали секцию Causal Inference - доклады тут https://ods.ai/tracks/df26-reliable-ml

4 Aug 2026, 03:58 UTC89 viewsread 6 August 2026

Я готовил как-то шпаргалку про Causal Inference https://kolodezev.ru/causalily.html

4 Aug 2026, 03:58 UTC116 views1 reactionsread 6 August 2026

Про причинно-следственный анализ была вводная лекция от Григория Чернова https://www.youtube.com/watch?v=OQSwpOQ0jgw

👍1

4 Aug 2026, 03:56 UTC113 views1 reactionsread 6 August 2026

Про интерпретируемость ML моделей есть книга https://christophm.github.io/interpretable-ml-book/

1

Showing the 12 most recent of 18 posts we hold for @databreakfast. 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

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 2 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“🍳 Датазавтраки ☕️ НСК (Академ)” (@databreakfast), 677 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/databreakfast.

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.