Telegram RegisterThe public register of Telegram

Channel

Дата-сторителлинг

@data_publication

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

11,918subscribers

-5 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
DescriptionСамые интересные исследования и графики Интернета. Автор: Андрей Дорожный @dorozhnij Поддержать канал: https://boosty.to/dorozhnij МАКС https://max.ru/join/NDJdOXFB8ZDsLQEsrLuTBmER8AhUqoy1pcrz52qtkLI Номер в РКН 5343480204
Created7 July 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/data_publication

Growth

11,91811,93111,924.56 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 subscribers6 August 202612 August 2026
8 measurements spanning 7 days, net -5. 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 11,916–11,933 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:5411,918-7
11 Aug 2026, 19:0411,925-3
10 Aug 2026, 16:0111,928-1
9 Aug 2026, 12:3611,929-2
8 Aug 2026, 12:4211,931+3
6 Aug 2026, 15:5411,928+5
6 Aug 2026, 02:3411,923no change
6 Aug 2026, 02:1711,923first reading

Engagement

11 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.8%
avg views ÷ 11,918 subscribers
Avg views / post
2,240
11 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 12 August 2026
Posts held11 (21 July 202612 August 2026)
Views total24,620
Reactions total290
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 03:48 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
1,050
Videos
44
Links
977

Lifetime counters from Telegram’s own channel header, read 13 August 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.

Reaction mix

290 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
290100.0%

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 11 of the 11 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 290reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 21 July 2026 to 12 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

12 Aug 2026, 12:56 UTC≈1,130 views16 reactionsread 13 August 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

16

8 Aug 2026, 09:03 UTC≈2,040 views56 reactionsread 13 August 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

56

5 Aug 2026, 10:27 UTC≈2,270 views22 reactionsread 13 August 2026
Photo

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

22

5 Aug 2026, 07:31 UTC≈3,060 views30 reactionsread 13 August 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

30

4 Aug 2026, 14:51 UTC≈2,040 views20 reactionsread 13 August 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

20

31 Jul 2026, 09:23 UTC≈2,170 views23 reactionsread 13 August 2026
Photo

📈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

23

30 Jul 2026, 11:01 UTC≈2,250 views47 reactionsread 13 August 2026
Photo

📈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

47

29 Jul 2026, 06:56 UTC≈2,210 views11 reactionsread 13 August 2026
Photo

📈Кем работать в Анадыре РИА регулярно выпускает рейтинг самых высоких зарплат по отраслям в городах России. Так всегда можно понять, чем стоит заниматься в том или ином городе исходя из наивысшей средней зарплаты. В основном в городах стоит заниматься IT или финансами, но есть и исключения. На Камчатке выгоднее всего заниматься рыболовством, в Братске — логистикой, в Махачкале — госслужбой. И все-таки стоит выбират

11

28 Jul 2026, 06:47 UTC≈1,900 views27 reactionsread 13 August 2026

📈 Это специальный пост для тех, кто ищет работу, проекты или сотрудников. В комментариях пишите про себя или о своих задачах, покажите свои проекты! Мужей и жен не ищем тут, будет отдельный топик. Тематики: аналитика данных, визуализация и смежные области. Жду вас в комментариях 🔽

27

27 Jul 2026, 07:10 UTC≈2,200 views15 reactionsread 13 August 2026
Photo

📈Регулярный контент Читаю много непрофильных каналов. Один из них — канал о FMCG, ритейле и товарах повседневного спроса. Увидел там интересный график. Визуально она довольно странный, но полезный: показывает, какие продукты подорожали с начала года, а какие подешевели. В данном случае авторы сравнили июнь с началом года. Я подумал, что такие данные можно подтягивать каждую неделю (с Ростата) и автоматически собират

15

21 Jul 2026, 12:42 UTC≈3,350 views23 reactionsread 13 August 2026
Photo

📈Как адаптировать график под мобилку Повернуть, нарезать, сложить, обрезать, сделать с прокруткой. Такие советы дает Эвелина Парру.

23

Showing the 11 most recent of 11 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.

Citation-graph rank

Citation-graph rank — 63,392 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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

“Дата-сторителлинг” (@data_publication), 11,918 subscribers as measured 12 August 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.