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Channel

Дата-сторителлинг

@data_publication

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

11,951subscribers

+28 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-1001117681513
TypeChannel
Username@data_publication
Created7 July 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/data_publication

Growth

11,91711,95111,9346 August 2026 — 11,923 subscribers6 August 2026 — 11,923 subscribers6 August 2026 — 11,928 subscribers8 August 2026 — 11,931 subscribers9 August 2026 — 11,929 subscribers10 August 2026 — 11,928 subscribers11 August 2026 — 11,925 subscribers12 August 2026 — 11,918 subscribers14 August 2026 — 11,917 subscribers15 August 2026 — 11,920 subscribers17 August 2026 — 11,921 subscribers18 August 2026 — 11,924 subscribers20 August 2026 — 11,927 subscribers21 August 2026 — 11,928 subscribers22 August 2026 — 11,934 subscribers24 August 2026 — 11,935 subscribers25 August 2026 — 11,937 subscribers26 August 2026 — 11,936 subscribers27 August 2026 — 11,934 subscribers28 August 2026 — 11,937 subscribers29 August 2026 — 11,945 subscribers30 August 2026 — 11,946 subscribers31 August 2026 — 11,941 subscribers1 September 2026 — 11,932 subscribers2 September 2026 — 11,927 subscribers3 September 2026 — 11,933 subscribers5 September 2026 — 11,951 subscribers6 August 20265 September 2026
27 measurements spanning 30 days, net +28. 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 11,912–11,956 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
5 Sept 2026, 09:5711,951+18
3 Sept 2026, 09:4611,933+6
2 Sept 2026, 06:3911,927-5
1 Sept 2026, 03:1711,932-9
31 Aug 2026, 04:3511,941-5
30 Aug 2026, 01:3611,946+1
29 Aug 2026, 01:1911,945+8
28 Aug 2026, 03:3411,937+3
27 Aug 2026, 05:3411,934-2
26 Aug 2026, 08:1211,936-1
25 Aug 2026, 11:1211,937+2
24 Aug 2026, 11:4711,935+1
22 Aug 2026, 18:3411,934+6
21 Aug 2026, 05:5711,928+1
20 Aug 2026, 06:5711,927+3
18 Aug 2026, 07:2211,924+3
17 Aug 2026, 09:4811,921+1
15 Aug 2026, 16:4611,920+3
14 Aug 2026, 07:0811,917-1
12 Aug 2026, 19:5411,918first reading

Engagement

16 posts held, back to 21 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 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.5%
avg views ÷ 11,951 subscribers
Avg views / post
2,090
6 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
6
of 16 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 1 September 2026
Posts held16 (21 July 20261 September 2026)
Views total12,520
Reactions total148
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 23:21 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.

Reaction mix

444 reactions across 16 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
444100.0%

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 16 of the 16 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 444 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 21 July 2026 to 1 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.

Recent posts

1 Sept 2026, 12:25 UTC≈1,470 views49 reactionsread 2 September 2026
Photo

📈20 лет переписки с мамой и папой в одном графике На Reddit нашёл график, где один парень визуализировал количество сообщений от родителей с 2008 года. Он учитывал сначала SMS, а потом перешёл на мессенджеры. Мама пишет чаще, батя реже (у него была Nokia до 2022), но когда автор сломал ногу, это был пик числа сообщений в их переписке. Чаще пишите родителям.

49

31 Aug 2026, 16:02 UTC≈1,290 views12 reactionsread 2 September 2026
Photo

📈Эпоха инди-дата-проектов Я собираю материалы для этого канала уже 10 (десять!) лет. За это время многое поменялось. Раньше я скроллил RSS-ленты (зумеры, вы знаете такое?), потом перешел на соцсеть Илона Маска, множество рассылок и тг-каналов. В основном это были материалы крупных редакций типа NYT, WaPo или Reuters, для меня они были бенчмарком в плане подходов к отбору историй и визуализаций. Но последние нескольк

12

28 Aug 2026, 14:08 UTC≈1,630 views8 reactionsread 2 September 2026
Photo

📈Видео на выходные: эфир «Кейсы применения ИИ в аналитике» На эфире вместе с Глебом Романовым (вб) разобрали два кейса применения ИИ в работе аналитика: 1. Делаем интерактивный дашборд из нескольких Excel-файлов Росстата. Сокращаем время на очистку, анализ и отрисовку до 1 часа вместо недели. В процессе Глеб применяет метод «ленивого» вайбкодинга, я настаиваю на подробном промте. В конце получается готовый дашборд и

8

28 Aug 2026, 11:05 UTC≈1,850 views13 reactionsread 2 September 2026
Photo

📈Женщины выбирают мужчин выше себя для брака Невероятно сложный и душный график, который показывает, что математическое ожидание не согласуется с реальными критериями выбора партнера у женщин. Если бы мужчины и женщины образовывали пары случайно, без предпочтений относительно роста, то график был бы «колоколом». А так распределение смещено и мужчины до 185 см — в зоне риска.

13

13 Aug 2026, 10:21 UTC≈3,290 views43 reactionsread 2 September 2026
Photo

📈Солнечное затмение Уже 10 лет я собираю лучшие примеры датавиза в этом канале (олды, привет!). И на каждое более-менее значимое событие ты видишь, как делают свои проекты крупные редакции. Война, наводнение, футбол — на каждое мировое событие есть десятки крутых визуализаций. Вчера было солнечное затмение, и многие сделали визуализации с фокусом на карты и на то, где и как это затмение лучше смотреть. В последнем д

43

12 Aug 2026, 12:56 UTC≈2,990 views23 reactionsread 2 September 2026
Photo

📈Инфляция баллов ЕГЭ Смотрел датасет мониторинга вузов и увидел колонку со средним баллом ЕГЭ поступивших. Параллельно вокруг все больше новостей стобалльников — и всплыла гипотеза про инфляцию баллов.«Ведомости» пишут, что в 2026-м средний тестовый балл вырос по русскому (+2,4, до 63,06), литературе (+1,6), истории (+2,05) и химии (+0,7). Обществознание — 55,2 (+1,6 к прошлому году). Физика — 66,5 (+4,7), теперь са

23

8 Aug 2026, 09:03 UTC≈2,860 views64 reactionsread 2 September 2026
Photo

📈У Кинопоиска все хорошо с самоиронией. Рейтинг «Колобка» на сайте сделан в виде голов человека-паука) 🕸 https://www.kinopoisk.ru/film/8484833/?socialAlias=MTQ0NDY4NTg%3D

64

5 Aug 2026, 10:27 UTC≈2,990 views25 reactionsread 2 September 2026
Photo

📈 Визуально проклятая схема покупки билетов на яндексе. Почему бимбо-розовый самый дорогой?

25

5 Aug 2026, 07:31 UTC≈4,050 views33 reactionsread 2 September 2026
Video

📈Как распространяются фейки (и любые другие новости) в интернете Наткнулся на разбор, где исследователи из Университета Буффало моделируют фейки теми же формулами, что и вспышки болезней. У пользователей свои роли: зараженные — носители новости; душители — те, кто услышал и не пересылает; разоблачители — те, кто опровергает. Человек не подхватит слух, пока ему его не передадут. Дальше все решает время: как быстро лож

33

4 Aug 2026, 14:51 UTC≈2,470 views22 reactionsread 2 September 2026
Photo

📈Про «слитое» исследование ФНС Любопытная история. На сайте налоговой лежало исследование о «демографическом» кризисе у компаний. Если коротко: регистрироваться бизнесов стало меньше, чем ликвидироваться. В основном закрываются по упрощенной схеме. Сначала на материал обратили внимание Frank Media, потом подхватили другие издания и паблики. Позже на сайте Сбера обнаружилась криво-косо собранная в Claude Code презент

22

31 Jul 2026, 09:23 UTC≈2,480 views25 reactionsread 2 September 2026
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📈Сделали каталог «Дело вдали» Помогли коллегам из «Дома вдали» сделать сайт-каталог бизнесов в исторических зданиях. Камерные отели и большие креативные кластеры, рестораны и ремесленные лавки — все в одном месте. Формат — маркетплейс с картой и отметками. У каждого объекта своя большая карточка с историей и описанием. Сайт подойдет тем, кто в путешествиях хочет есть, жить и спать в исторических домах. Скоро добавят

25

30 Jul 2026, 11:01 UTC≈2,620 views50 reactionsread 31 August 2026
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📈8 из 10 браков распадаются Помню, пару лет назад эта цифра сильно форсилась в медиа. У меня она вызвала ужас и отбила желание планировать брак. Думаю, не у меня одного. В 2024 году в России зафиксировали 880 тысяч браков и 644,5 тысячи разводов. Получается примерно 73%. Цифру округлили до 8, редактор сделал заголовок — и новость пошла гулять в рилсы. Выглядит как реальные 8/10. Так считать нельзя. Сейчас распадают

50

Showing the 12 most recent of 16 posts we hold for @data_publication. 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

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 7 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.

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.

Клуб анонимных аналитиков
@analyst_club · 33,600
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 4 September 2026
LEFT JOIN
@leftjoin · 42,187
Telegram ranks this channel #13 of 95 here — alongside 94 others — read 29 August 2026
Excel Everyday
@excel_everyday · 52,425
Telegram ranks this channel #30 of 97 here — alongside 96 others — read 24 August 2026
Секреты аналитики | Data Science, BI, Tableau
@analytics_secrets · 46,841
Telegram ranks this channel #36 of 85 here — alongside 84 others — read 27 August 2026
Google Таблицы
@google_sheets · 60,664
Telegram ranks this channel #49 of 98 here — alongside 97 others — read 22 August 2026
Магия Excel
@lemur_excel · 49,881
Telegram ranks this channel #61 of 95 here — alongside 94 others — read 25 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,599
Telegram ranks this channel #70 of 93 here — alongside 92 others — read 25 August 2026
Job for Analysts & Data Scientists
@foranalysts · 36,355
Telegram ranks this channel #80 of 96 here — alongside 95 others — read 1 September 2026
Data Science. SQL hub
@sqlhub · 35,988
Telegram ranks this channel #84 of 87 here — alongside 86 others — read 2 September 2026

This channel appears in 9 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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“Дата-сторителлинг” (@data_publication), 11,951 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/data_publication.

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.