27 measurements spanning 29 days, net -43. 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 18,356–18,417 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
3 Sept 2026, 23:59
18,363
-7
2 Sept 2026, 14:28
18,370
-2
1 Sept 2026, 13:48
18,372
-4
31 Aug 2026, 13:28
18,376
+4
29 Aug 2026, 18:15
18,372
+2
28 Aug 2026, 16:44
18,370
+1
27 Aug 2026, 14:46
18,369
+1
26 Aug 2026, 17:18
18,368
-3
25 Aug 2026, 18:28
18,371
-4
24 Aug 2026, 21:27
18,375
-5
23 Aug 2026, 04:56
18,380
-5
21 Aug 2026, 13:29
18,385
-1
20 Aug 2026, 13:17
18,386
-3
19 Aug 2026, 15:24
18,389
-4
18 Aug 2026, 13:24
18,393
+5
17 Aug 2026, 13:54
18,388
-3
16 Aug 2026, 03:17
18,391
-6
14 Aug 2026, 12:18
18,397
-4
13 Aug 2026, 03:34
18,401
-1
12 Aug 2026, 00:02
18,402
first reading
Engagement
53 posts held, back to 23 July 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.64%
avg views ÷ 18,363 subscribers
Avg views / post
1,400
27 posts measured
Reaction rate
0.369%
reactions ÷ views · ER floor
Posts in window
27
of 53 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. It is computed over the 23 of 27 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
53 (23 July 2026 – 2 September 2026)
Views total
37,897
Reactions total
122
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:53 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
2m 48s
Average length
34s
Measured directly from 5 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
201 reactions across 40 posts, in 12 distinct kinds. The most used accounts for 39.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
79
39.3%
👍
65
32.3%
😁
20
9.95%
🔥
17
8.46%
🥱
5
2.49%
👾
4
1.99%
👏
3
1.49%
🎉
2
0.995%
🤩
2
0.995%
🥰
2
0.995%
🌚
1
0.498%
🙏
1
0.498%
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 44 of the 53 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 228 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 23 July 2026 to 2 September 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
3.77%
2 of 53 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
614
over 2 measured posts
Median views · rest
1,440
over 51 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
erid
Posts
First seen
Last seen
2SDnjcuT75V
1
23 July 2026
23 July 2026
CQH36pWzJqVJCbWwdw8YPGbm54Rbkkq1PurWH8do19EkU6
1
2 September 2026
2 September 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 53 most recent posts we hold, published 23 July 2026 to 2 September 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.
Что делать айтишнику в наше турбулентное время?
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Повышать скиллы. Учиться проходить собеседования, а не гнуть пальцы. И, конечно, читать Богдана. Он больше 6 лет работает в бигтехе и прошёл 350+ собеседований.
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Микроскопами, liquid handler’ами, лазерами, plate reader’ами, роботизированными руками и другим программируемым железом.
Идея похожа на то, что MCP сделал для софта: вместо отдельной интеграции п…
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Проблема в самой метрике. Долгое время модели для protein design оценивали по тому, насколько хорошо они восстанавливают последовательность, которую выбрала эволю…
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tscv = TimeSeriesSplit(n_splits=5, gap=24)
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Он не просто конвертирует файлы — он понимает структуру документов.
Работает «plug-and-play» с:
— LangChain
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Плюс есть MCP-сервер, чтобы подключать Doc…
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Сохраняйте, пригодится не раз.
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🐸 Библиотека дата-сайентиста
#буст
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🔗 Начать обучение
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#буст
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#буст
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В первой части статьи — прототип на Python: симулируем поведение юзеров и настраиваем логику обучения, чтобы победить проблему «холодного старта».
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👍3❤2
Showing the 12 most recent of 53 posts we hold for @dsproglib. 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.
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.
Shares as published, totalling 101%. 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 53 most recent posts we hold, published 23 July 2026 to 2 September 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.
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 5 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.
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.
Библиотека питониста | Python, Django, Flask @pyproglib · 37,446 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 1 September 2026
Библиотека программиста @proglibrary · 78,398 Telegram ranks this channel #12 of 82 here — alongside 81 others — read 19 August 2026
Анализ данных (Data analysis) @data_analysis_ml · 50,588 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 25 August 2026
Data Science @datascienceiot · 42,597 Telegram ranks this channel #19 of 76 here — alongside 75 others — read 29 August 2026
Physics.Math.Code @physics_lib · 146,369 Telegram ranks this channel #27 of 72 here — alongside 71 others — read 13 August 2026
Data Science. SQL hub @sqlhub · 35,971 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 2 September 2026
Machine learning Interview @machinelearning_interview · 30,274 Telegram ranks this channel #29 of 98 here — alongside 97 others — read 7 September 2026
BZD • Книги для программистов @bzd_channel · 36,431 Telegram ranks this channel #34 of 57 here — alongside 56 others — read 1 September 2026
Machinelearning @ai_machinelearning_big_data · 282,429 Telegram ranks this channel #34 of 95 here — alongside 94 others — read 10 August 2026
NOP::Nuances of Programming @nuancesprog · 56,702 Telegram ranks this channel #42 of 84 here — alongside 83 others — read 23 August 2026
Искусственный интеллект. Высокие технологии @vistehno · 71,809 Telegram ranks this channel #46 of 94 here — alongside 93 others — read 20 August 2026
Python/ django @pythonl · 58,944 Telegram ranks this channel #50 of 84 here — alongside 83 others — read 22 August 2026
Data Secrets @data_secrets · 93,166 Telegram ranks this channel #53 of 98 here — alongside 97 others — read 17 August 2026
Job for Analysts & Data Scientists @foranalysts · 36,355 Telegram ranks this channel #82 of 96 here — alongside 95 others — read 1 September 2026
This channel appears in 14 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение” (@dsproglib), 18,363 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/dsproglib.
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.