Авторский канал "Философская кухня" https://t.me/smysly_rf_bot?start=rl_tg
подкаст "В поисках смысла"
https://t.me/paradokspinkera
Patreon https://www.patreon.com/pavelshch?fan_landing=true
По вопросам сотрудничества обращаться
[email protected]
Created
28 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Religion — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 43 days, net +223. 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 81,999–82,633 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:16
82,524
-35
15 Sept 2026, 18:59
82,559
-1
14 Sept 2026, 04:18
82,560
+33
12 Sept 2026, 08:21
82,527
+3
10 Sept 2026, 07:41
82,524
+245
7 Sept 2026, 00:57
82,279
+140
4 Sept 2026, 08:59
82,139
+67
2 Sept 2026, 21:59
82,072
-39
1 Sept 2026, 21:54
82,111
-39
31 Aug 2026, 23:36
82,150
-5
30 Aug 2026, 21:13
82,155
+8
29 Aug 2026, 22:19
82,147
+16
29 Aug 2026, 00:52
82,131
-11
28 Aug 2026, 03:34
82,142
+13
27 Aug 2026, 02:16
82,129
-16
26 Aug 2026, 00:42
82,145
+4
25 Aug 2026, 03:15
82,141
-23
22 Aug 2026, 02:36
82,164
-21
20 Aug 2026, 19:05
82,185
-35
19 Aug 2026, 22:05
82,220
first reading
Engagement
64 posts held, back to 29 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.1%
avg views ÷ 82,524 subscribers
Avg views / post
33,100
24 posts measured
Reaction rate
1.66%
reactions ÷ views · ER floor
Posts in window
24
of 64 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 25 September 2026
Posts held
64 (29 June 2026 – 25 September 2026)
Views total
795,000
Reactions total
13,189
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 00:32 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
150
Videos
17
Links
483
Lifetime counters from Telegram’s own channel header, read 27 September 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
57s
Average length
57s
Measured directly from 1 video 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
34,919 reactions across 64 posts, in 3 distinct kinds. The most used accounts for 51.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
17,836
51.1%
❤
16,126
46.2%
🤔
957
2.74%
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 64 of the 64 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 34,919 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 29 June 2026 to 25 September 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
137
across the posts below
Posts paid on
45
of 64 we hold a reading for · 70%
Most on one post
15
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @common_sen. 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 64 most recent posts we hold for this entry, published 29 June 2026 to 25 September 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.
Начальства и Власти - Часть 3 - Выборов Нет
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
Третья часть цикла «Начальства и Власти», где мы с Джеем Дайером обсуждаем, почему всякий разговор о реальной власти звучит конспирологически.
Это не случайность, а следствие парадигмы, заданной Просвещением. Нам внушили иллюзию, что политика не просто нейтральна, а безлична, будто власть исходит из суммы — класса, …
Павел Щелин и Джордан Холл - Гностическая цивилизация - Эпизод IV - Сделка
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
Четвёртый эпизод цикла «Гностическая цивилизация»: в котором мы с Джорданом Холлом разбираем сделку как способ обращения с невидимым.
В основе этого рассуждения лежит второе искушение в пустыне: превращение камней в хлебы, власть над чудом. Разница между верой в невидимое и сделкой с н…
"В ночь, когда Мамай залёг с ордою
Степи и мосты,
В тёмном поле были мы с Тобою, —
Разве знала Ты?
Перед Доном тёмным и зловещим,
Средь ночных полей,
Слышал я Твой голос сердцем вещим
В криках лебедей.
С полуночи тучей возносилась
Княжеская рать,
И вдали, вдали о стремя билась,
Голосила мать.
И, чертя круги, ночные птицы
Реяли вдали.
А над Русью тихие зарницы
Князя стерегли.
Орлий клёкот над татарским станом
Угро…
Кризис смыслов
Boosty | YouTube | Vkvideo | Rutube
В беседе с Алексеем Фёдоровым и Андреем Морозовым мы обсудили, что искусственный интеллект делает с профессией и с человеком.
Внутри любой профессиональной сферы сейчас идёт разделение на две неравные части. Машинный интеллект радикально увеличивает возможности тех немногих, кто и без него понимает суть дела благодаря долгим годам опыта. тех, кто видит картину цели…
Начальства и Власти - Часть 2 - Национальное Самоубийство
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
Вторая часть цикла «Начальства и Власти», записанного совместно Павлом Щелиным и Джеем Дайером. Тезис у неё жёсткий: нет и логически не может быть политического явления, которое не было бы онтологически явлением религиозным.
Начать стоит с загадки, которую не объясняет ни одна политическая теория, с су…
Разговоры о личном
Boosty | Rutube | YouTube | Vkvideo
В беседе на подкасте «Чистота понимания» мы с Алексеем Чадаевым и Семёном Ураловым обсудили, что такое личность.
В языке спрятаны два несовместимых понимания. Первое идёт от слова «личина». Греческое «просопон» — маска актёра, отсюда персона и английское person. Если личность есть личина, то за ней нет ничего сущностного: индивид надевает маски по своей воле, а…
Закрытое небо
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
В комментарии к нашему разговору с Джонатаном Пежо об «Одиссее» Нолана пришла Энни Кроуфорд — культурный антрополог, директор программы по К. С. Льюису в Logres Institute, исследователь Гомера. По её словам, мы с Джонатаном упустили такой важный момент, как христологичность жертвы Одиссея у Нолана. Один радовался возвращению историй в культуру, др…
Друзья, на «Философской кухне» — гость, который тридцать лет наблюдал украинскую политику вблизи: политолог Константин Бондаренко.
В этот раз на «Философской кухне» разговаривали о том:
— Из какого материала складывалась украинская политическая элита и почему люди, которые тридцать лет считали себя хозяевами положения, оказались в зависимости от тех, у кого не было ни денег, ни связей, зато было представление о буд…
Гностическая цивилизация - Эпизод III - Знание Сила
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
Третий эпизод цикла «Гностическая цивилизация», в котором Павел Щелин и Джордан Холл обсуждают формулу, с которой начался модерн: «Знание — сила».
Начинается эта история в пустыне, с первого искушения: преврати камни в хлебы. Это власть над материей, отсюда и расщепление атома, и космические полёты, преодо…
Boosty | YouTube | Vkvideo | Rutube |Оригинальное видео
Дорогие подписчики, предлагаем вашему вниманию новый проект нашей команды. Мы сделали сериал о духах, которые двести лет борются за пустующий трон в сердце Америки. Мы записывали выпуск за выпуском, не зная, что канала, для которого мы это снимаем, уже нет.
Этот сериал — «Начальства и Власти», Powers & Principalities — наша совместная работа с Джеем Дайером,…
Дорогие подписчики, наш англоязычный YouTube-канал убит. Формально — ошибки прежнего технического менеджмента канала, но по сути — античеловеческий дух современных технологий. Месяц попыток объяснить YouTube, что мы ни при чём. Месяц равнодушного молчания ИИ.
Есть определённая ирония в том, что удар пришёлся ровно в тот момент, когда мы заканчивали запись сериала о демонических духах, которые двести лет борются за п…
Гностическая цивилизация - Эпизод II - Разум как спасение
Boosty | YouTube | Vkvideo | Rutube | Оригинальное видео
Второй эпизод цикла «Гностическая цивилизация», в котором Павел Щелин и Джордан Холл рассуждают о разуме как обещании спасения.
Разум предлагает нам нечто простое и на вид доброе: способ увидеть мир таким, каков он есть, и в этом состоянии ясного понимания принимать верные решения. Беда в том, что «ми…
👍257❤88🤔20
Showing the 12 most recent of 64 posts we hold for @common_sen. 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.
Posts edited after publishing
@common_sen edited 6 posts 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.
First edit seen
18 August 2026
Most recent edit
26 September 2026
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 7 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Степан Демура @sgdemura · 32,104 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 5 September 2026
ШЕЛЕСТ @shelestlive · 138,550 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 13 August 2026
Бондаренко: Былое и Думы @kost1969 · 84,110 Telegram ranks this channel #31 of 92 here — alongside 91 others — read 18 August 2026
Аналітика Куща @Analityka_Kush · 48,222 Telegram ranks this channel #42 of 90 here — alongside 89 others — read 26 August 2026
Fikrat Shabanov @Fikrat_Shabanov · 61,133 Telegram ranks this channel #64 of 92 here — alongside 91 others — read 22 August 2026
Переслегин Сергей @peresleginserg · 24,973 Telegram ranks this channel #79 of 93 here — alongside 92 others — read 15 September 2026
Хистори.Эко @history_eco · 21,656 Telegram ranks this channel #84 of 91 here — alongside 90 others — read 23 September 2026
ПЕСКЕ + PESKE @apeske · 31,003 Telegram ranks this channel #90 of 96 here — alongside 95 others — read 6 September 2026
This channel appears in 8 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Павел Щелин. Официальный канал.” (@common_sen), 82,524 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/common_sen.
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.