Channel
@choking_data
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
994subscribers
+3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001931411028 |
|---|---|
| Type | Channel |
| Username | @choking_data |
| Created | Between 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/choking_data |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 14:36 | 994 | +3 |
| 6 Aug 2026, 13:19 | 991 | no change |
| 6 Aug 2026, 04:06 | 991 | first reading |
11 posts held, back to 28 May 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 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.
89 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 52.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 47 | 52.8% | |
| ❤ | 21 | 23.6% | |
| 🔥 | 20 | 22.5% | |
| 👎 | 1 | 1.12% |
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 9 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 89reactions 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 28 May 2026 to 13 July 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.
Если вам зашли лекции из цикла Разрушители мифов, то вот, есть возможность попасть на полугодовую программу по биостату: заявки принимают до 16-го включительно. Программа удаленная, но все занятия вживую, не в записи. Среди преподавателей, в том числе, и лекторы Разрушителей. Походите-подумайте, может, вам надо, успеете запрыгнуть в последний вагон.
🔥5❤1
На этой неделе заканчивается набор на онлайн-программу переподготовки «Биостатистика и анализ медицинских данных»! bioinf.me/education/stat | Приём заявок до 16 июля, 23:59 МСК Приглашаем на программу всех, кто работает или планирует работать в сфере биомедицинских исследований, владеет базовыми навыками анализа данных в R и хочет глубже разобраться в статистических методах, а также научиться уверенно применять их н…
❤3🔥1
Сегодня читаю лекцию про постхок мощность. Буду рассказывать про мощность вообще и опять агитировать смотреть на ДИ, а не на p-values. Приходите, будет в меру теоретично, с картиночками и, как всегда, лампово.
🔥7
Всё ещё считаете мощность после окончания исследования? Тогда мы идём к вам! bioinf.me/stat_myths | 7 июля, 19:00 МСК 7 июля, 19:00 МСК | Матвей Славенко 🦖 Миф №9: Расчёт мощности: лучше поздно, чем никогда На заключительной лекции третьего сезона лектория «Разрушители статистических мифов» обсудим: • что такое мощность теста; • чем она отличается от ошибки первого рода; • зачем её считать; • о чём она говорит на э…
👍7❤4🔥4
Очень хороший пост, рекомендасьон.
Why Adjusted Regression Coefficients Are Less Descriptive Than They Look Kristoffer Magnusson (исследователь в области клинической психологии) ведет любопытный блог, который называется R Psychologist. У него можно посмотреть множество интересных статистических визуализаций, в частности, как-то у нас упоминалась визуализация по доверительным интервалам. У автора вышла еще одна интерактивная визуализация: Why Adjuste…
👍18
У нас сегодня пятница, поэтому пост про ремейк Готики и головоломки :3
Очень крутая статья про взлом замков в Gothic 1 Remake 🔗Читать Как вам вообще эта система спустя время игры? 😎 T-Moor и его команда
❤2👍1
Автор - лягушка-путешественница, наконец, возвращается к родным пенатам и даже готовит оригинальный контент (в том числе и давно обещанный). А пока можете почитать вот эту заметку Лены Убогоевой и потыкать в симуляции (все мы любим Монте-Карло). В комменты тоже загляните, там всякое интересное обсуждают.
❤1
Тест Стьюдента, Велча и непараметрика на малых выборках Возвращение долгожданных лонгридов по статистике! В прошлый раз я сравнивала тест Стьюдента и тест Велча на больших выборках и обещала разобрать отдельно, что происходит на малых выборках. Не прошло и года (или прошло), но лонгриды возвращаются в новом интерактивном формате: https://ubogoeva.github.io/R4Analytics/posts/small_samples_simulation.html Теперь мож…
👍14❤1👎1
Я ни умир, я даже на конференцию выбрался. Пока что сообщаю, что круассаны были хороши; скрепочка вот ещё красивая на программе. #ярмарка_тщеславия
❤9👍7🔥3
Showing the 11 most recent of 11 posts we hold for @choking_data. 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 — 207,613 of 1,169,250entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“душно про дату” (@choking_data), 994 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/choking_data.
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.