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Channel

🗞 Виз Ньюз

@dataviznews

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

4,139subscribers

-5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001213014683
TypeChannel
Username@dataviznews
Created23 June 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/dataviznews

Growth

4,1394,1444,141.56 August 2026 — 4,144 subscribers6 August 2026 — 4,144 subscribers7 August 2026 — 4,141 subscribers10 August 2026 — 4,139 subscribers6 August 202610 August 2026
4 measurements spanning 4 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 4,138–4,145 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 06:444,139-2
7 Aug 2026, 01:174,141-3
6 Aug 2026, 04:174,144no change
6 Aug 2026, 03:364,144first reading

Engagement

20 posts held, back to 12 July 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.0%
avg views ÷ 4,139 subscribers
Avg views / post
581
2 posts measured
Reaction rate
2.07%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 5 August 2026
Posts held20 (12 July 20255 August 2026)
Views total1,162
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:16 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
5m 26s
Average length
47s

Measured directly from 7 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

197 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 45.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8945.2%
🔥5728.9%
❤‍🔥189.14%
👍105.08%
🥰84.06%
😢52.54%
🌚42.03%
👎21.02%
👏10.508%
💔10.508%
💯10.508%
😁10.508%

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 20 of the 20 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 197reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 12 July 2025 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dataviznews. 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 20 most recent posts we hold for this entry, published 12 July 2025 to 5 August 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

5 Aug 2026, 22:36 UTC365 views8 reactionsread 8 August 2026
Forwarded from @designing_numbersPhoto

Невероятной красоты проект про затмения от Саши Богачёва Айда смотреть на небо (да, там так можно, если разрешить браузеру видеть свою локацию)

8

Signed Nikita Rokotyan

28 Jul 2026, 00:09 UTC797 views16 reactionsread 8 August 2026
Video

🌏 23 года колебаний CO2, CH4, CO и температуры В 2014 году я сделал 3d-визуализацию роста уровня CO2 вокруг Земли по данным спутника AIRS. Тогда я учился в аспирантуре и занимался тем, как восстанавливать состав атмосферы по солнечному свету и собственному излучению Земли, и мне очень хотелось попробовать показать данные, с которыми я работал, каким-то новым интересным способом. Изначально всё было написано на Open

🔥15💔1

Signed Nikita Rokotyan

7 May 2026, 18:59 UTC≈1,110 views8 reactionsread 8 August 2026
Forwarded from @antonmizinovVideo

Элайас Йилма (Elias Yilma) продаёт своё интерактивное руководство по структурам данных и алгоритмам. Визуализация и анимация алгоритмов, а также их интерактивность позволяют быстрее понять сложные моменты. Отличный пример того, где и как можно (и нужно) применять свои инфографические навыки. #интересно

🔥62

Signed Nikita Rokotyan

2 Apr 2026, 21:30 UTC≈1,460 views8 reactionsread 8 August 2026
Forwarded from @vsemdata

Всем дата — зовём всех! Мы уже нашли партнёров — они поделятся данными. Мы уже готовим пространство — большое, уютное, с розетками и интернетом, прямо в центре Москвы. И мы уже зовём вас на хакатон по журналистике данных! 18-19 апреля в ВШЭ на Покровском бульваре Мы создаём пространство для свободного творчества и работы с данными. В первый день мы опубликуем датасеты и вы с командой приступите к созданию медийног

7👏1

Signed Nikita Rokotyan

2 Apr 2026, 21:23 UTC≈1,120 views2 reactionsread 8 August 2026
Video

Крайне занимательная реализация Particle Life на WebGPU от Элиаса Нахарро (Elias Najarro). https://najarro.science/pl/ @dataviznews

2

Signed Nikita Rokotyan

19 Feb 2026, 01:52 UTC≈4,380 views21 reactionsread 8 August 2026
Video

Мой хороший приятель Марк в одиночку навайбкодил классный проект — справочник, карту и граф шрифтовых дизайнеров, мастерских и, собственно, шрифтов со всего мира. Проект пока совсем молодой и далеко не все компании / люди / шрифты там есть. Но это дело времени. Рассказывать больше ничего не буду, лучше пойдите и посмотрите сами https://type.lol. И поделитесь с вашими друзьями-дизайнерами! @dataviznews

❤‍🔥12👍32🌚2👎2

Signed Nikita Rokotyan

11 Feb 2026, 18:05 UTC≈1,750 views11 reactionsread 8 August 2026
Video

Красивый и техничечкий сильный проект с семантической картой (LLM embeddings + UMAP + tSNE) телеграм-каналов. Что нравится: - Когда приближаешь, срабатывает алгоритм расталкивания точек, и их все становится видно без пересечений. - Приятный экран загрузки, и миникарта справа внизу. - Параметры обзора сохраняются в URL, поэтому можно кнопками назад-вперед в браузере возвращаться к недавно просмотренным областям. Еще

🔥11

Signed Nikita Rokotyan

10 Feb 2026, 07:24 UTC≈1,410 views5 reactionsread 8 August 2026

Исследовательский проект «Если быть точным» (платформа с открытыми данными и исследования по широкому набору тем), собрали практические гайды как готовить и визуализировать данные, где обобщили опыт за время своей работы. Гайды платные, но хочется поддержать ребят. Для проекта это важно, это поможет и дальше сохранять открытые данные и делать социальные исследования. 1) Как сделать запоминающиеся графики: 11 рекоме

3👍2

Signed Nikita Rokotyan

26 Jan 2026, 07:04 UTC≈1,490 views7 reactionsread 8 August 2026
Video

ChartGPU — новая сверхбыстрая библиотека для рисования графиков на WebGPU. Пока выглядит просто и сыровато, но многобещающе. https://github.com/ChartGPU/ChartGPU

🔥6😁1

Signed Nikita Rokotyan

12 Dec 2025, 16:38 UTC≈1,970 views2 reactionsread 8 August 2026
Video

Завтра начинается 24-часовой ежегодный стрим от команды Places & Spaces. Тема этого года — Envisioning Intelligences. Много классных имен в лайнапе. «В программе запланированы доклады, демонстрации и дискуссии, посвящённые лингвистическим, кинестетическим, коммуникативным, музыкальным, эмоциональным и другим формам интеллекта, с особым вниманием к сотрудничеству и координации между различными формами жизни и типами

🌚2

Signed Nikita Rokotyan

10 Dec 2025, 18:31 UTC≈1,600 views3 reactionsread 8 August 2026

У Ромы Бунина @revealthedata выходит книга 🥳 Маст рид всем, кто создает дэшборды

3

Signed Nikita Rokotyan

10 Dec 2025, 18:31 UTC≈1,280 views5 reactionsread 8 August 2026
Forwarded from @revealthedataVideo

📘Анонс книги «От дашборда к системе» Что же — этот день настал! Я выпускаю книгу, в которой собрал свой опыт за 10 лет работы с визуализацией данных и дашбордами. Книга в процессе написания, но большая часть уже готова. Мы решили выпускать её постепенно — по несколько глав в месяц (в видео я оговорился и пообещал быстрее, но это неправда😅). Сейчас доступны введение и глава про продуктовые подходы к BI-системам. Кни

5

Signed Nikita Rokotyan

Showing the 12 most recent of 20 posts we hold for @dataviznews. 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 — 607,166 of 1,481,217entries 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 1 registered channel — 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“🗞 Виз Ньюз” (@dataviznews), 4,139 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dataviznews.

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.