Channel
@scienceslamrussia
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,082subscribers
+6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001406603512 |
|---|---|
| Type | Channel |
| Username | @scienceslamrussia |
| Created | 11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/scienceslamrussia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 20:45 | 1,082 | +3 |
| 14 Aug 2026, 15:15 | 1,079 | +1 |
| 11 Aug 2026, 04:31 | 1,078 | +2 |
| 7 Aug 2026, 21:10 | 1,076 | no change |
| 7 Aug 2026, 07:32 | 1,076 | first reading |
7 posts held, back to 18 June 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 7 posts for this entry, the most recent from 9 July 2026. An engagement rate over an empty window would be a number about nothing.
60 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 56.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 34 | 56.7% | |
| 🔥 | 10 | 16.7% | |
| 😍 | 8 | 13.3% | |
| 👍 | 7 | 11.7% | |
| 😱 | 1 | 1.67% |
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 7 of the 7 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 18 June 2026 to 9 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.
Мы все ждали этого!! Встречайте учёных первой Научной битвы юбилейного сезона Лиги! 🤩 В рамках программы XIV Всероссийского съезда СМУ и СНО состоится слэм, на котором встретятся шесть учёных из 4 городов России: 🥊 Виктория Моничева представит тему «Онкосиндикат. Кто помогает раку выживать?» 🥊 Вера Грозова раскроет секрет о том, «Как византийцы и арабы пленными обменивались» 🥊 Валерий Кубарев выступит с темой «Умна…
❤9😍5👍4
🫎 А вы знали эти факты о лосях? В этом отрывке с «Научного Баркемпа» биолог Владислав Ушаков делится интересными фактами об одном из самых узнаваемых обитателей наших лесов. Полную версию выступления, где вы узнаете, зачем лоси нужны природе и человеку, смотрите в сообществе во ВКонтакте. А пока мы готовимся к новым мероприятиям, заглядывайте в нашу видеотеку — там уже собрано много выступлений учёных с неожиданны…
❤1
С каждого любителя научпопа — ❤️
❤9
Малоизвестный факт о королеве Виктории... Она — автор главного свадебного дресс-кода. Всего один её наряд перезагрузил моду на столетия вперёд и отправил в утиль практичные цветные платья невест. Какой смелый ход совершила королева? Читайте в карточках!
❤3😍3
Комары — назойливые соседи, но одних людей они атакуют чаще, а других почти не трогают. Почему? Рассказали в карточках 🦟
❤3
🟩Если бы Science Slam был дополнением к The Sims… Прокачка навыка логики, бесконечные исследования и высокий уровень харизмы — кажется, мы знаем, какими были бы персонажи наших учёных. Листайте карточки и выбирайте своего фаворита!
🔥9❤5👍3😱1
Готовы к самой короткой ночи года? ☀️ Уже 21 июня в Северном полушарии наступит летнее солнцестояние — момент, когда Солнце поднимется максимально высоко над горизонтом, а световой день станет самым длинным в году. В Москве, например, он длится 17 часов 33 минуты. В других городах цифры будут свои, но суть одна: нас ждёт и самая короткая ночь. Название «солнцестояние» появилось не случайно: несколько дней до и посл…
❤4🔥1
Showing the 7 most recent of 7 posts we hold for @scienceslamrussia. 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 — 648,936 of 1,570,450entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“Science Slam Russia” (@scienceslamrussia), 1,082 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/scienceslamrussia.
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.