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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
58 measurements spanning 95 days, net -48. 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 13,760–13,872 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
8 Nov 2026, 16:35
13,773
-1
7 Nov 2026, 11:26
13,774
-6
6 Nov 2026, 12:06
13,780
+2
4 Nov 2026, 12:25
13,778
-1
3 Nov 2026, 13:38
13,779
-1
2 Nov 2026, 10:04
13,780
-1
1 Nov 2026, 12:39
13,781
-1
31 Oct 2026, 13:27
13,782
-9
30 Oct 2026, 13:36
13,791
+2
29 Oct 2026, 12:16
13,789
-4
28 Oct 2026, 10:29
13,793
+6
26 Oct 2026, 10:02
13,787
-8
25 Oct 2026, 09:17
13,795
-1
24 Oct 2026, 12:46
13,796
-7
23 Oct 2026, 13:08
13,803
-2
22 Oct 2026, 16:10
13,805
-1
21 Oct 2026, 11:46
13,806
-4
20 Oct 2026, 07:56
13,810
-4
18 Oct 2026, 10:27
13,814
-1
17 Oct 2026, 10:01
13,815
first reading
Engagement
26 posts held, back to 28 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.4%
avg views ÷ 13,773 subscribers
Avg views / post
2,820
4 posts measured
Reaction rate
2.58%
reactions ÷ views · ER floor
Posts in window
4
of 26 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
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
26 (28 July 2026 – 6 November 2026)
Views total
11,260
Reactions total
291
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:41 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
Photos
≈1,480
Videos
≈95
Links
≈1,030
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5m 24s
Average length
36s
Measured directly from 9 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
1,493 reactions across 24 posts, in 22 distinct kinds. The most used accounts for 30.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
449
30.1%
🔥
381
25.5%
💔
154
10.3%
🤣
102
6.83%
😁
93
6.23%
😭
64
4.29%
👍
58
3.88%
🕊
36
2.41%
😍
35
2.34%
❤🔥
27
1.81%
🤔
20
1.34%
🤝
15
1.00%
💊
13
0.871%
🆒
10
0.67%
😢
8
0.536%
🌚
6
0.402%
👻
6
0.402%
🥰
6
0.402%
👏
3
0.201%
😴
3
0.201%
2 further kinds
4
0.268%
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 24 of the 26 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 1,493 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 28 July 2026 to 6 November 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
1
of 26 we hold a reading for · 4%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_csv. 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 26 most recent posts we hold for this entry, published 28 July 2026 to 6 November 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: 3 of 4 posts held from the last 30 days (75.0%) 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).
Ноябрь — время для одной из крупнейших аналитических конференций в России. Матемаркетинг пройдёт уже в девятый раз и соберёт спикеров из Яндекса, Авито, VK, Т-Банка, Сбера, Careem и других компаний.
В этот раз будет много про то, как ИИ встраивают в работу с данными и как проверяют, что от этого есть толк. К примеру, Денис Пехтерев из Т-Банка расскажет, зачем ему понадобилось 17 ролей для ИИ и какую часть управленче…
Немногие помнят, но в 2018 году этот канал появился как канал хакатона «Новой газеты», а впоследствии переродился в Дата-блог «Новой», в который помимо меня писали ещё мои коллеги Алеся Мароховская и Ира Долинина.
«Новая» была моим первым полноценным местом работы как дата-журналиста, здесь я делал свои первые шаги в инфографике и выпустил свои первые по-настоящему любимые работы.
Это была большая, сильная и самая …
Инстаграм захлестнул новый ИИ-тренд: все бросились делать ролики с креативной визуализацией разных звуков.
Оставляя за рамками точность оценок в этом видео, отмечу, что сама идея раскрывать сложные цифры через понятные объекты и последствия — классный приём. Когда-то размеры чего угодно пытались выразить в футбольных полях, помните такое?
Источники:
https://www.instagram.com/reel/De301hbh9vb/
https://www.instagram.…
Верите ли вы в жизнь после смерти?
Среди участников исследования, о котором рассказывают The Pudding, почти половина — 48% — ответили «да». Ещё 27% не уверены, а 25% считают, что после смерти ничего нет.
Есть несколько любопытных наблюдений. Любопытно, что вера в загробную жизнь не обязательно связана с религией: среди молодых людей в США и Европе вполне распространён ответ «верю, но религия в моей жизни не важна».…
Тем временем у меня в разгаре первый поток курса, на котором мы перешли на ИИ-инструменты.
Ольга Вишневская сначала перенесла свой диплом с прошлого курса в DataLens, а затем вдохновилась обсуждениями в чате и референсом Моны Чалаби — оформила ту же статистику в виде видео.
Да, конечно, тут есть и простор для улучшений, и стандартные элементы клод-дизайна. Но вы прикиньте, что можно уже сделать?
До конца года мы с…
Как адепт мерча, основанного на данных, порадовался дропу от Moonswoon. На своей футболке «Уральский Хребет» они обозначили вершины хребта в реальном соотношении высот. Закодировано в арте и ещё одно число — 66 — одновременно и количество полосочек на футболке, и номер Свердловской области.
Знающая аудитория разглядит здесь ещё и оммаж на культовый альбом Joy Division. В общем, кайф!
Хороший сторителл у Т—Ж в видео о том, как меняется возрастная структура населения мира, и как это влияет на экономику
https://youtu.be/SfNogH5Xoxs
Для контекста: вот тут писал про ооочень уж залипательный материал NYT, который показывает, как эти процессы затрагивают разные страны, и что может стать с мировым балансом из-за таких демографических тенденций
Завораживающий проект Берта Спана — интерактивная карта мирового рельефа.
Её главная фишка — динамическая шкала высот. Цвета каждый раз подстраиваются под участок, на который вы смотрите: приблизили горы — увидели пики и ущелья; приблизили равнину — старые русла рек, дюны, дамбы и другие почти незаметные перепады высот.
В меню Explore (бинокль в верхнем меню) автор собрал подборки мест, где особенно хорошо видны ра…
Абсолютно очаровательная визуальная метафора от Моны Чалаби.
График показывает долю американцев, чей семейный доход в 30 лет оказался выше, чем у их родителей примерно в том же возрасте. Среди родившихся в 1940 году таких было около 90%, а среди родившихся в 1980-х — уже около половины.
Доходы скорректированы с учётом инфляции.
Источник: Chetty et al., 2017 — The Fading American Dream
Хотелось ли вам когда-нибудь проехаться по собственным графикам — как в Gravity Defied? Что ж, вы можете это сделать.
Мой коллега Лео Асторский сделал расширение для Хрома, которое ищет на странице линейные графики в виде svg и превращает их в гоночные трассы.
Сразу потестить можно здесь, а код и инструкция по установке расширения — на GitHub.
Свои мемные проезды кидайте в комменты 🌚
Мы изучили, как матерятся люди при общении с нейросетью
Сделали с коллегами из Яндекса одно из самых потрясающих исследований — изучили нецензурную брань в диалогах с Алисой AI. Самым популярным оказался корень -б**-, правда, с небольшим отрывом.
Ещё из прикольного: чем дальше заходит диалог, тем выше доля сообщений с матом — среди десятых она выше, чем среди первых. Суточный пик нецензурной брани приходится на час…
v6 alpha
Дошли руки опубликовать большоооой апдейт, который делал ещё в начале лета.
Что нового:
— Доступен новый вид графика — линейный! А вместе с ним — стили линий и точек, гибкие оси и аннотации
— Столбики теперь могут визуализировать процент от 100 — включите «Фон столбиков» и задайте ему это значение
— Множество исправлений багов и интерфейса
Апдейт в фигме, с ошибками приходите в чат
🔥12❤7
Signed Алексей Смагин
Showing the 12 most recent of 26 posts we hold for @data_csv. 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.
Posts edited after publishing
@data_csv edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 November 2026
Most recent edit
9 November 2026
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.
настенька и графики @nastengraph · 28,082 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 9 September 2026
Рациональные числа @rationalnumbers · 25,574 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 13 September 2026
Reveal the Data @revealthedata · 27,662 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 10 September 2026
Клуб анонимных аналитиков @analyst_club · 33,324 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 4 September 2026
LEFT JOIN @leftjoin · 41,485 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 29 August 2026
Если быть точным @tochno_st · 19,605 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 2 October 2026
Магия Excel @lemur_excel · 49,845 Telegram ranks this channel #23 of 95 here — alongside 94 others — read 25 August 2026
Google Таблицы @google_sheets · 59,478 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 22 August 2026
karpov.courses @KarpovCourses · 27,313 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 10 September 2026
Яндекс про аналитику @YAN_analytic · 20,922 Telegram ranks this channel #32 of 98 here — alongside 97 others — read 25 September 2026
Noukash @noukashblog · 21,573 Telegram ranks this channel #40 of 95 here — alongside 94 others — read 23 September 2026
Data Science. SQL hub @sqlhub · 36,025 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 2 September 2026
Excel Everyday @excel_everyday · 52,038 Telegram ranks this channel #54 of 97 here — alongside 96 others — read 24 August 2026
Анализ данных (Data analysis) @data_analysis_ml · 51,923 Telegram ranks this channel #62 of 93 here — alongside 92 others — read 25 August 2026
Job for Analysts & Data Scientists @foranalysts · 37,857 Telegram ranks this channel #65 of 96 here — alongside 95 others — read 1 September 2026
Инжиниринг Данных @rockyourdata · 23,679 Telegram ranks this channel #66 of 93 here — alongside 92 others — read 17 September 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“data.csv” (@data_csv), 13,773 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/data_csv.
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.