Единственный официальный канал историка А.И. Фурсова.
Связь: @Spprtfursovbot
Реклама: @foremyx
Youtube: https://andreyfursov.page.link/qbvQ
Rutube: https://andreyfursov.page.link/jofZ
https://knd.gov.ru/license?id=6741e40a23bfbf2cbf6c2204®istryType=
Created
12 May 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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 why it has no browse page of its own yet.
Growth
8 measurements spanning 6 days, net -86. 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 131,058–131,173 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 12:37
131,071
-28
11 Aug 2026, 12:57
131,099
-2
10 Aug 2026, 15:55
131,101
-33
9 Aug 2026, 17:43
131,134
-2
8 Aug 2026, 20:32
131,136
-20
7 Aug 2026, 20:53
131,156
-4
6 Aug 2026, 21:35
131,160
+3
6 Aug 2026, 02:05
131,157
first reading
Engagement
22 posts held, back to 27 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.9%
avg views ÷ 131,071 subscribers
Avg views / post
23,500
15 posts measured
Reaction rate
2.39%
reactions ÷ views · ER floor
Posts in window
15
of 22 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
22 (27 June 2026 – 12 August 2026)
Views total
352,600
Reactions total
8,414
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:17 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.
What this channel posts
Photos
292
Videos
216
Links
654
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Video runtime
23m 41s
Average length
11m 51s
Measured directly from 2 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
13,508 reactions across 22 posts, in 11 distinct kinds. The most used accounts for 57.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
7,783
57.6%
🔥
2,924
21.6%
❤
1,767
13.1%
🤔
658
4.87%
👏
143
1.06%
😁
86
0.637%
👎
56
0.415%
😢
32
0.237%
🤯
26
0.192%
😱
25
0.185%
🥰
8
0.059%
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 22 of the 22 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 13,508reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 27 June 2026 to 12 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.
Telegram Stars
Stars received
32
across the posts below
Posts paid on
14
of 22 we hold a reading for · 64%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @govoritfursov. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 22 most recent posts we hold for this entry, published 27 June 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Когда я узнал об указанных наработках Сталина и нынешней ситуации на Западе, так и захотелось поверить, что мёртвая рука вождя додушила нашего противника, достала через десятилетия после его смерти. Скорее всего это не так, а всё случилось по внутренней логике развития Запада, капитализма (хотя – кто знает), но очевидно одно: даже в последние годы жизни Сталин думал о стране, о социализме, о том, как обеспечить побе…
Образование. Иллюзия справедливости
С каждым годом поступление в достойный вуз превращается в закрытый клуб. Олимпиадники, медалисты, «идеальные дети» - витрина системы. Остальным внушают: «Ну, не дотянул».
Но правда в другом.
Поступают не самые умные.
Поступают самые информированные.
Большинство родителей всё ещё живут в наивной фантазии:
«Главное — хорошо учиться, и всё сложится».
Не сложится.
Потому что правила…
Что касается СССР, то у нас в конце 1970-х годов заметки Сталина, которые легли в основу «плана Шелепина» из разряда «совершенно секретно» были переведены в просто «секретно», а для сотрудников КГБ – вообще в разряд ДСП – «для служебного пользования» – и опубликованы в одном из ежеквартальных сборников, издаваемых в нынешней Академии им. Ю.В. Андропова.
Под его руководством заметки Сталина превратились в некую программу. Перебежавший в 1961 г. на Запад сотрудник КГБ А.М. Голицын (майор, сотрудник отдела стратегического планирования КГБ) прихватил с собой эту программу, и на Западе она стала известна как «план Шелепина» . План, развивающий мысли Сталина, заключался, грубо говоря, в том, чтобы даже в случае поражения СССР сделать так (заложив заранее фундамент, включа…
Что не менее важно, даже в последние годы жизни Сталин думал о будущем и планировал новые формы борьбы с Западом на случай поражения СССР. Вождь прекрасно понимал, что, победив Гитлера, он лишь выбил оружие из рук тех, кто толкнул фюрера на СССР. После войны Советский Союз имел дело уже не с расколотым на блоки, а с консолидированным вокруг гегемона – США – Западом. Надежды на нормальные послевоенные отношения с Амер…
Коллеги провели масштабное исследование эволюции цифровой дипломатии (ЦД). Они не только разобрали терминологическую путаницу, но предложили свою периодизацию истории ЦД, основанную на хронологическом анализе ключевых событий, институциональных реформ и технологических сдвигов с 1990-х до середины 2020-х гг. Центральное место в исследовании отведено новой для отечественной науки концепции алгоритмической асимметрии (…
7. Будучи в 1945–1953 гг. уже не в лучшей форме, Сталин, тем не менее, заложил в эти годы фундамент ядерной безопасности страны, промышленно-экономического советского чуда 1950-х и превращения СССР в сверхдержаву – уже после его убийства (я согласен с И.И. Чигириным, который убедительно доказывает именно эту версию смерти вождя).
6. Победу в войне одержала именно сталинская система, проявившая гибкость и развернувшаяся в канун войны и во время неё в сторону русского народа, который Сталин в своём знаменитом тосте 1945 г. назвал «наиболее выдающейся нацией из всех входящих в состав Советского Союза»; при Хрущёве этот курс в сторону русскости и православия был повёрнут вспять.
5. В канун войны Сталин сумел консолидировать общество на государственно-патриотической основе, обуздать кровожадных коррумпированных региональных баронов и вельмож в центре, т.е. красных олигархов; была подавлена и «пятая колонна». В ноябре 1941 г. бывший посол США в СССР Джозеф Дэвис в интервью газете Sunday Express на вопрос по поводу членов «пятой колонны» в СССР сказал: «У них таких нет, они их расстреляли… Знач…
Сталин показал, что репрессии – эффективный способ ведения властной и социальной борьбы. Это распространяется и на наши дни. Другое дело, что в нынешних условиях не нужны репрессии физического характера – расстрелы, тюрьмы, та эпоха прошла. Сегодня достаточно отсечения от финансовых и информационных потоков, в крайнем случае – лишения гражданства и высылки из страны. Репрессии ли это? Да. Повторение 1937 года, которы…
4. В 1920–1930-е годы Сталин, хотя и совершил ряд ошибок (Китай, Германия и др.), сумел использовать межимпериалистические противоречия, привлёк иностранный капитал на строительство социализма (при этом в противостоянии финансового и промышленного капитала на Западе Сталин, как правило, поддерживал второй) и сорвал формирование антисоветского блока в Европе, выведя СССР из политической изоляции германо-советским дого…
👍520❤88🔥47🤔21😁5
Showing the 12 most recent of 22 posts we hold for @govoritfursov. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 173,157 of 1,151,006entries 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
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.
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.
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.
Хазин @khazinml · 246,004 Telegram ranks this channel #63 of 91 here — alongside 90 others — read 11 August 2026
Мария Шукшина @mariashukshina · 153,984 Telegram ranks this channel #91 of 92 here — alongside 91 others — read 12 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“Говорит Фурсов” (@govoritfursov), 131,071 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/govoritfursov.
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.
