Telegram RegisterThe public register of Telegram

Channel

Designing Numbers

@designing_numbers

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

5,211subscribers

+8 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-1001236079510
TypeChannel
Username@designing_numbers
Created2 March 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/designing_numbers

Growth

5,2035,2185,210.56 August 2026 — 5,203 subscribers7 August 2026 — 5,215 subscribers9 August 2026 — 5,218 subscribers12 August 2026 — 5,211 subscribers5,2116 August 202612 August 2026
4 measurements spanning 7 days, net +8. 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 5,201–5,220 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:535,211-7
9 Aug 2026, 15:215,218+3
7 Aug 2026, 00:215,215+12
6 Aug 2026, 04:185,203first reading

Engagement

17 posts held, back to 18 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.9%
avg views ÷ 5,211 subscribers
Avg views / post
1,190
4 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
4
of 17 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 held17 (18 March 20265 August 2026)
Views total4,765
Reactions total131
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:35 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
3m 22s
Average length
51s

Measured directly from 4 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

410 reactions across 17 posts, in 15 distinct kinds. The most used accounts for 44.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18444.9%
🔥12029.3%
😍4310.5%
👍153.66%
🤩153.66%
❤‍🔥102.44%
🆒61.46%
👎30.732%
💔30.732%
😁30.732%
🥰30.732%
👏20.488%
😢10.244%
🤔10.244%
🥱10.244%

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 17 of the 17 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 410reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 18 March 2026 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.

Recent posts

5 Aug 2026, 19:51 UTC≈2,070 views47 reactionsread 12 August 2026
Photo

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

26😍14👍6👏1

4 Aug 2026, 15:50 UTC535 views37 reactionsread 12 August 2026
Forwarded from @data_csvVideo

Фантастический способ визуализации ветра на карте мира 😍 Для самых упорных автор выложил 16 минут видео, где полностью показывает процесс — от загрузки данных до превращения их в такую красоту.

😍24👍5🤩4🔥31

20 Jul 2026, 18:29 UTC≈1,210 views43 reactionsread 12 August 2026
Forwarded from @vovatoday_ru

В Threads попалась шутка: где-то в Азии есть невидимая линия, после которой жареный рис становится пловом. В комментариях добавили вторую — там плов превращается в паэлью. Чтобы проверить, видны ли эти линии в данных, пришлось скачать 87 ГБ OpenStreetMap. В выборку попали названия 2,35 миллиона заведений. Земля вокруг каждого получила цвет блюда на вывеске. Так появились шесть карт: рис, пельмени, донер, шашлык, ла

23🔥16👍2😁2

20 Jul 2026, 18:29 UTC950 views4 reactionsread 12 August 2026

Мой друг Вова сделал новую крутоту (и завёл канал для будущих крутот) https://t.me/vovatoday_ru

2🔥2

12 Jul 2026, 09:36 UTC≈1,160 views17 reactionsread 12 August 2026
Forwarded from @chartomojkaVideo

В честь начинающегося ЧМ по футболу запилил небольшой интерактивчик про перелеты команд и углеродный след от них. Ссылка: worldcup.bogachev.fr Там цифры не очень большие, а вот если брать с болельщиками, которые летают с матча на матч - в 500-1500 раз больше. По разным оценкам на ближайшем чемпионате углеродный удар составит 8-9 млн тонн CO2. Это больше чем годовые выбросы небольшой страны типа Кипра 🤷🏻 Но всё

12🔥4🤩1

7 Jul 2026, 11:56 UTC≈1,170 views9 reactionsread 12 August 2026
Forwarded from @data_csv

Редкий шанс: ищем себе коллегу аналитика / дата-журналиста в команду исследований Яндекса. Это вакансия в Москве, для человека с техническими компетенциями. Идеальный кандидат сможет обработать, например, лог поисковых запросов, найти там интересные закономерности и изложить их понятным языком. И есть один нюанс — это декретная ставка, то есть с гарантией трудоустройства только на ограниченный период. https://yand

👎3💔3🔥2😢1

23 Jun 2026, 10:20 UTC≈1,460 views34 reactionsread 12 August 2026
Video

💚💚💚: разработчик превратил 💚 тысячи лет китайской поэзии в ГАЛАКТИКУ — её можно исследовать прямо в браузере. Он загрузил десятки тысяч поэтов и их стихотворений в трёхмерном пространстве. Чем значимее поэт — тем ярче его «звезда». На любую звезду можно нажать, прочитать стихотворение и посмотреть, как автор связан с другими поэтами через огромную сеть связей. Любуемся невероятной красотой здесь 🥰

🔥21🤩64🆒2🥱1

22 Jun 2026, 10:42 UTC≈1,220 views39 reactionsread 12 August 2026
Forwarded from @visualize_itPhoto

Карты Маршалловых островов Месяц назад в основной экспозиции Лувра в Абу-Даби увидела один из самых классных примеров карты, которая на первый взгляд выглядит совсем не как карта. Навигационные карты с Маршалловых островов сделаны из тонких веточек, ниток и ракушек. Это исторический способ местных навигаторов визуализировать море. Ракушки обозначали острова, а линии — волны, течения и то, как океанская зыбь меняет

🔥259❤‍🔥3👍2

4 Jun 2026, 10:41 UTC≈1,460 views24 reactionsread 12 August 2026
Forwarded from @designsniperPhoto

Минутка истории: Пять тысяч лет этому примеру «интерфейса мышления» и схематизации работы с данными, а может прообраз современного «экселя». Ранние таблички схожего «керамического дизайна», подобные этой, использовались в административных целях для учета хранения и распределения товаров, животных и людей. Эта табличка найдена в Джемдет-Насре, на территории древнего поселения на юге Месопотамии (современный Ирак).

🔥128🆒3❤‍🔥1

3 Jun 2026, 11:57 UTC≈1,230 views23 reactionsread 12 August 2026

Мои прекрасные друзья сделали очередное невероятной красоты 🤩 А оно ещё оказалось и умным.

12❤‍🔥6😍5

21 May 2026, 11:49 UTC≈1,610 views19 reactionsread 12 August 2026
Forwarded from @rationalnumbersPhoto

Число городов с численностью населения более 1 миллиона в 1800, 1900 и 1930 годах (Visual Capitalist) Каждый силуэт означает 1 миллион населения В 2024 году в мире насчитывается более 500 таких городов Визуализация из книги «Общесто и экономика» Отто Нейрата #ретродатавиз Больше примеров винтажной визуализации данных: — Статистический атлас Французского Индокитая 1914 года, Анри Бренье — Всеобщий географический

12🔥7

21 May 2026, 05:51 UTC≈1,310 views32 reactionsread 12 August 2026
Forwarded from @ir3277Photo

1931 год, Харлем, Нидерланды. Голландский школьный учитель издаёт атлас, в котором Нидерланды — параллелограмм, Европа — мозаика треугольников, континенты — стопки 3D-блоков. Идея простая: упростить карты до прямых линий, чтобы дети запоминали. Через год книгу зарубит «старейшина голландской картографии» одной фразой. А почти через век название атласа загорится на фасаде Национального архива в Гааге. Полная статья в

21🔥6🤩4👏1

Showing the 12 most recent of 17 posts we hold for @designing_numbers. 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 — 185,064 of 1,189,255entries 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Designing Numbers” (@designing_numbers), 5,211 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/designing_numbers.

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.