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Восстание редуцированных

@istoki_slova

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

16,260subscribers

+306 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-1001236815913
TypeChannel
Username@istoki_slova
DescriptionСветлана Гурьянова Убираюсь, кушаю, купаюсь в ванне 😁 Автор книги «В начале было кофе» (лонг-лист «Просветителя»-2024, лауреат «Премии читателя»-2024). Канал включен в перечень РКН: https://knd.gov.ru/license?id=676024359367c46900b0be2b&regi
Created19 November 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/istoki_slova

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

15,91916,28816,103.516,2606 August 202614 November 2026
64 measurements spanning 100 days, net +306. 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 15,864–16,343 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
14 Nov 2026, 16:5916,260-20
11 Nov 2026, 15:5016,280-3
9 Nov 2026, 21:1916,283-2
8 Nov 2026, 09:5916,285+1
7 Nov 2026, 01:2016,284-4
6 Nov 2026, 01:1616,288+5
4 Nov 2026, 22:1616,283+4
4 Nov 2026, 00:3616,279+1
3 Nov 2026, 03:3616,278+2
2 Nov 2026, 00:5516,276+7
31 Oct 2026, 23:0616,269+11
30 Oct 2026, 21:5016,258+4
29 Oct 2026, 20:5416,254-6
27 Oct 2026, 22:5616,260-2
26 Oct 2026, 21:0716,262-1
25 Oct 2026, 22:2716,263+3
25 Oct 2026, 01:4716,260+14
24 Oct 2026, 01:4716,246-1
23 Oct 2026, 00:1916,247+6
22 Oct 2026, 00:4716,241first reading

Engagement

31 posts held, back to 14 July 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 79 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.1%
avg views ÷ 16,260 subscribers
Avg views / post
3,430
6 posts measured
Reaction rate
3.77%
reactions ÷ views · ER floor
Posts in window
6
of 31 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 November 2026
Posts held31 (14 July 2026 – 12 November 2026)
Views total20,580
Reactions total775
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 06:42 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
≈1,230
Videos
≈225
Links
≈282

Lifetime counters from Telegram’s own channel header, read 15 November 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.

Video runtime
8m 00s
Average length
1m 36s

Measured directly from 5 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

8,010 reactions across 27 posts, in 38 distinct kinds. The most used accounts for 44.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,53844.2%
🔥1,34716.8%
😁86810.8%
👍4245.29%
🤣2983.72%
👏2463.07%
💘2142.67%
😢2072.58%
❤‍🔥1802.25%
💯1612.01%
🤪1301.62%
💔841.05%
🤯841.05%
😐460.574%
🏆320.4%
👎190.237%
🐳170.212%
🕊160.2%
🤩130.162%
🤝120.15%
18 further kinds740.924%

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 31 of the 31 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 9,023 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 14 July 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 1 of 6 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 10:33 UTC≈2,900 views163 reactionsread 15 November 2026

А новый контент я не успеваю клепать, потому что книжку пишу. Даже в лекциях сделаю перерыв, потому что ничего не успеваю. Вот в воскресенье напоследок поговорим про феминитивы под сидр — и всё, несколько месяцев потом буду сидеть безвылазно дома и строчить матерную писанину.

❤110👍42🔥11

Signed Svetlana Guryanova

12 Nov 2026, 10:31 UTC≈2,420 views260 reactionsread 15 November 2026
Photo

Знаю, знаю, плохо у меня с новым контентом в последнее время. Сплошные анонсы. И только удалять контент могу, а не производить 😄 Может, кто-то заметил, что я удалила видео про слово «могнуть». Оно залетело в инсте почти на 5 миллионов просмотров и неожиданно понравилось борцам за «чистоту языка» и противникам «тлетворного влияния Запада» 🤢 И доносчикам, которые захотели его использовать, чтобы запретить песню и нака…

❤105🤯72💔51😢23😁6🤝2👎1

Signed Svetlana Guryanova

11 Nov 2026, 11:00 UTC≈2,770 views130 reactionsread 15 November 2026
Forwarded from @stradarium1Photo

После Вавилонской башни люди перестали понимать друг друга. С тех пор лингвисты выясняют, почему так вышло и что с этим делать. Собрали шесть курсов об этом, и все они сейчас со скидками Чёрной пятницы 🖤 🤬 Мат на Русь принесли вовсе не монголы: те самые слова нацарапаны на новгородских берестяных грамотах XII века, за сто лет до нашествия. Откуда они взялись и почему когда-то звучали даже в обрядах — «Русский мат: п…

❤72🔥44💘8🕊6

Signed Svetlana Guryanova

11 Nov 2026, 11:00 UTC≈2,740 views48 reactionsread 15 November 2026

Дружочки, у «Страдариума» сейчас распродажа, и смотрите, какой сложился лингвистический флеш-рояль! Там и мой курс есть ⬇️

❤42💘6

Signed Svetlana Guryanova

26 Oct 2026, 15:26 UTC≈5,080 views141 reactionsread 15 November 2026
Forwarded from @lectory2Photo

🔥31 октября приглашаем вас на лекцию лингвиста Светланы Гурьяновой "Будущее русского языка" Обсудим, как заговорят наши дети, внуки и правнуки. «Вообщем», «день рожденье», «думаю, то что» — раздражает? А вдруг через 100 лет так будут говорить все? А если это еще и станет нормой? Любой живой язык не портится, а эволюционирует. Прямо сейчас у нас на глазах рождается русский язык будущего, на котором заговорят наши п…

❤115👍14💘12

Signed Svetlana Guryanova

26 Oct 2026, 15:25 UTC≈4,670 views33 reactionsread 15 November 2026

Друзья, а вдруг вы в Твери?) приходите ко мне в субботу на лекцию! ⬇️⬇️⬇️

❤29💘4

Signed Svetlana Guryanova

16 Oct 2026, 08:23 UTC≈7,070 views294 reactionsread 15 November 2026
Photo

Эх, а вот ходил бы комментатор вчерашнего выпуска «Редакции» на мои лекции, знал бы, что всё несколько иначе 😆

🤣194❤62👍25💯11👎1💘1

Signed Svetlana Guryanova

16 Oct 2026, 08:20 UTC≈6,840 views135 reactionsread 15 November 2026
Photo

Ура, уже завтра встретимся в Москве на матерном фесте 😆 Антон Нелихов расскажет про то, как ругались в русской деревне, а я — про историю мата. А если вы не в Москве, для вас доступна онлайн-трансляция! Билет на нее можно купить, нажав на оранжевый прямоугольник на схеме зала. ❗️Если вы покупали билет давно, обратите внимание: была замена площадки, лекция пройдет в «Аудиториуме» на Воздвиженке! Вот, вроде бы всё с…

❤82🔥44💘9

Signed Svetlana Guryanova

15 Oct 2026, 17:51 UTC≈6,680 views427 reactionsread 15 November 2026
Photo

Ууух! Никогда ещё на такую большую аудиторию в прямом эфире не выходила) Но, кажется, получилось интересно. (Хотя у меня было очень мало времени… И я не договорилааааа 😆) Обсуждали сленг и мат на канале «Редакция»примерно с 59:07

🔥226❤132👏46👍18👻2👎1💘1😍1

Signed Svetlana Guryanova

9 Oct 2026, 14:10 UTC≈7,420 views416 reactionsread 15 November 2026
Photo

Так мне нравится переиздание книг Зализняка у Альпины ❤️‍🔥

❤233🔥128💘24🤩13👍7😍6❤‍🔥2👎2

Signed Svetlana Guryanova

8 Oct 2026, 16:20 UTC≈6,870 views282 reactionsread 15 November 2026
Photo

Потрясающее видео вышло у @wissensgau! И какая огромная работа за ним стоит, страшно представить… Мне, правда, не очень приятно было слышать озвучку Языковедьмы (у нас ней давние терки и... как бы это сказать... очень разные позиции относительно некоторых важных вопросов 😁) Но видео классное — и, в конце концов, язык выше всех наших распрей. Так что от души рекомендую!

❤200💘31🔥30👍16⚡3💅1🤨1

Signed Svetlana Guryanova

7 Oct 2026, 13:02 UTC≈5,610 views224 reactionsread 15 November 2026
Photo

Рассказывая о попе Савве, я ориентировалась на статью лингвистов Вадима Крысько и Игоря Ладыженского «Поп-сквернослов: обсценные маргиналии в древнерусском евангелии». И у статьи этой непростая судьба… Посмотрите, какая у нее аннотация на сайте Academia.edu

❤120😁37😐21😢18🔥11🤯8🐳5💘2

Signed Svetlana Guryanova

Showing the 12 most recent of 31 posts we hold for @istoki_slova. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

24 Aug 2026, 09:57 UTCAnonymous Poll1,220 voters approx.

Есть у меня набор лекций, которые я периодически повторяю. Догадаетесь, какую лекцию удалось прочесть всего два раза? Она шикарная, но организаторы боятся её брать 😄 И это лекция…

  1. про мат31%
  2. про лингвофриков13%
  3. про феминитивы62%
  4. про жаргон5%

The shares total 111%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 31 most recent posts we hold, published 14 July 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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.

Mentions

Named by 3 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Филолог всея Руси
@filologofrus · 42,905
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 30 September 2026
Грамотность на «Меле»
@gramota_mel · 20,075
Telegram ranks this channel #12 of 94 here — alongside 93 others — read 28 September 2026
Страшная химия
@chemistrybyolga · 33,686
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 4 September 2026
coroner's word 💀
@sudmed_words · 21,231
Telegram ranks this channel #81 of 90 here — alongside 89 others — read 23 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“Восстание редуцированных” (@istoki_slova), 16,260 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/istoki_slova.

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.