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Channel
@author_i
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
15,731subscribers
+6,520 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001262018240 |
|---|---|
| Type | Channel |
| Username | @author_i |
| Description | https://authori.ru/ Для связи: @author_i_bot Сетевое издание «author i» зарегистрировано в Роскомнадзоре 11 сентября 2023 г. Свидетельство о регистрации: Эл № ФС77-85882 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/author_i |
National news — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 11:12 | 15,731 | -4 |
| 2 Nov 2026, 09:24 | 15,735 | -1 |
| 1 Nov 2026, 06:50 | 15,736 | -3 |
| 31 Oct 2026, 06:45 | 15,739 | -4 |
| 30 Oct 2026, 08:38 | 15,743 | -7 |
| 28 Oct 2026, 05:37 | 15,750 | -123 |
| 27 Oct 2026, 03:38 | 15,873 | -2 |
| 26 Oct 2026, 04:08 | 15,875 | -3 |
| 25 Oct 2026, 05:16 | 15,878 | -6 |
| 24 Oct 2026, 01:57 | 15,884 | -1 |
| 23 Oct 2026, 02:45 | 15,885 | -72 |
| 22 Oct 2026, 01:35 | 15,957 | -150 |
| 20 Oct 2026, 17:40 | 16,107 | +2 |
| 19 Oct 2026, 19:00 | 16,105 | -2 |
| 18 Oct 2026, 22:09 | 16,107 | -3 |
| 17 Oct 2026, 22:21 | 16,110 | -3 |
| 16 Oct 2026, 00:26 | 16,113 | -6 |
| 14 Oct 2026, 21:00 | 16,119 | -5 |
| 13 Oct 2026, 10:48 | 16,124 | +1,786 |
| 9 Oct 2026, 09:56 | 14,338 | first reading |
39 posts held, back to 21 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 29 October 2026 |
|---|---|
| Posts held | 39 (21 December 2025 – 29 October 2026) |
| Views total | 56,230 |
| Reactions total | 1,577 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 16:17 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.
Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 3 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.
2,282 reactions across 36 posts, in 13 distinct kinds. The most used accounts for 24.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 562 | 24.6% | |
| 👍 | 432 | 18.9% | |
| ❤ | 411 | 18.0% | |
| 👏 | 377 | 16.5% | |
| 🎉 | 358 | 15.7% | |
| 🥰 | 76 | 3.33% | |
| 😁 | 19 | 0.833% | |
| 🤯 | 14 | 0.613% | |
| 🤩 | 12 | 0.526% | |
| 👎 | 9 | 0.394% | |
| 😱 | 7 | 0.307% | |
| 🤔 | 4 | 0.175% | |
| 🤬 | 1 | 0.044% |
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 36 of the 39 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 2,282 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 21 December 2025 to 29 October 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.
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СУДЕБНАЯ РУЛЕТКА: КОМУ ВЕЗЁТ В ПРЕСНЕНСКОМ СУДЕ? Четыре гражданских дела. Семь судей. И каждый раз — одна и та же судья. Совпадение? Или в судебной рулетке кому-то везёт чаще остальных? Редакция «Автор i» продолжает расследование деятельности группировки «Лиматон» и Алексея Торрес-Филатова. На этот раз в центре внимания — Пресненский районный суд Москвы, где четыре гражданских дела, связанных с имущественными спо…
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Уважаемые читатели, сайт authori.ru в настоящий момент недоступен. Редакция продолжает работу в обычном режиме. Однако до восстановления сайта мы вынуждены временно изменить формат размещения материалов. Новые статьи и расследования будут публиковаться непосредственно в Telegram-канале, в том числе в формате PDF. Это позволит сохранить материалы в полном объеме — с текстом, документами, иллюстрациями и ссылками на …
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От «Оборотней в погонах» до парка «Волен»: Ирина Качаровская-Гайрхофер о Филатове и многомиллионных схемах Кто входил в ближайший круг подполковника ФСБ? Кто отвечал за безопасность и деньги? Через какие компании проходили финансовые потоки? В этом видео Качаровская-Гайрхофер фактически раскладывает описываемую ею систему по фамилиям, компаниям и финансовым схемам. Эксклюзив на Автор i
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Шесть лет для Грейдина. «Крымский спрут» получил реальные сроки — но это ещё не финал 22 сентября Киевский районный суд Симферополя огласил приговор по делу, за которым «Автор i» следил не один месяц. Олег Грейдин — 6 лет лишения свободы и штраф 500 тысяч рублей. Никита Гаврилюк — 2 года и 6 месяцев. Светлана и Мария Тарыкины — 4,5 и 4 года колонии общего режима. Но за цифрами приговора — куда более интересная ист…
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Московская еврейская религиозная община: «Ребята, Иран не ваше дело!» «Автор И» публикует эксклюзивное интервью с директором по PR и коммуникациям Московской еврейской религиозной общины и Московской хоральной синагоги Дмитрием Дригайло. В разговоре — о том, как устроена работа МЕРО, чем отличаются основные направления российского иудаизма, какие отношения община поддерживает с государственными структурами и предст…
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Showing the 12 most recent of 39 posts we hold for @author_i. 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.
@author_i edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“Автор i” (@author_i), 15,731 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/author_i.
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.