Telegram RegisterThe public register of Telegram

Channel

Алексей Ситников

@drSit

Verified by Telegram

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

100,407subscribers

-738 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001416207847
TypeChannel
Username@drSit
DescriptionЧетырежды доктор наук, тренер НЛП, политтехнолог, автор проекта Karmalogic® По всем вопросам: adv@sitnikov.ru Менеджер по рекламе: @natagart РКН: https://gosuslugi.ru/snet/673a1776b5d2ec30cf76d16f Заявление на внесение изменений № 000937
Created15 January 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/drSit

Topic

Personal blog — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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

100,407101,145100,7766 August 2026 — 101,145 subscribers6 August 2026 — 101,061 subscribers7 August 2026 — 100,943 subscribers8 August 2026 — 100,843 subscribers9 August 2026 — 100,737 subscribers10 August 2026 — 100,620 subscribers11 August 2026 — 100,497 subscribers12 August 2026 — 100,407 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net -738. 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 100,296–101,256 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:04100,407-90
11 Aug 2026, 18:13100,497-123
10 Aug 2026, 20:47100,620-117
9 Aug 2026, 23:35100,737-106
8 Aug 2026, 21:00100,843-100
7 Aug 2026, 19:27100,943-118
6 Aug 2026, 21:41101,061-84
6 Aug 2026, 07:04101,145first reading

Engagement

32 posts held, back to 27 July 2026the 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
13.6%
avg views ÷ 100,407 subscribers
Avg views / post
13,600
32 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 August 2026
Posts held32 (27 July 202612 August 2026)
Views total435,730
Reactions total8,314
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:35 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
714
Videos
323
Links
669

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
4m 06s
Average length
35s

Measured directly from 7 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

7,442 reactions across 29 posts, in 18 distinct kinds. The most used accounts for 41.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3,06641.2%
👍2,12028.5%
🔥1,25916.9%
💯6678.96%
🙏751.01%
🤔510.685%
👏500.672%
custom 5341583751530974360300.403%
😁260.349%
🥰250.336%
🤝220.296%
👌140.188%
🤗140.188%
custom 532792478486708053170.094%
🫡60.081%
🤩50.067%
🤓40.054%
10.013%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 32 of the 32 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 8,314reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 27 July 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
16
across the posts below
Posts paid on
12
of 32 we hold a reading for · 38%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @drSit. 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 32 most recent posts we hold for this entry, published 27 July 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.

Advertising

Ad load
6.25%
2 of 32 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
11,700
over 2 measured posts
Median views · rest
14,300
over 30 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvQSaWv15 August 20265 August 2026
2Vtzqvfepgj110 August 202610 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 32 most recent posts we hold, published 27 July 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

12 Aug 2026, 14:57 UTC≈3,800 views52 reactionsread 12 August 2026
Photo

О Karmalogic®. Часть 2. В основу проекта легли 4 тезиса о судьбе. Второй из них: “Твоя судьба зависит от того, насколько ты разумно распоряжаешься имеющимися у тебя ресурсами и умеешь их развивать”. Именно об этом следующая книга проекта – Karmamagic. 54 ресурса личного эмпауэрмента. Основой данной книги стали порядка тысячи источников. В начале есть тест на 600 вопросов – его проходишь и сразу получаешь диаграмм

33🔥19

12 Aug 2026, 09:30 UTC≈6,790 views227 reactions1 Starread 12 August 2026
Video

Каким людям нельзя доверять? Три показателя.

👍127💯44🔥3415🥰5🤝2

11 Aug 2026, 16:34 UTC≈10,700 views188 reactionsread 12 August 2026
Photo

О Karmalogic®. Часть 1. ✨ В основу проекта легли четыре тезиса о судьбе. Первый из них: “Твоя судьба зависит от того, насколько ты адекватно воспринимаешь этот мир, понимаешь его законы и соблюдаешь их”. Об этом первая книга — Karmalogic. 54 закона судьбы. Она написана на основе 1049 источников – религиозных, философских, психологических, методологических, литературных, исторических. Под кармой мы понимаем набор

123🔥30👍24custom 534158375153097436011

11 Aug 2026, 11:23 UTC≈9,940 views287 reactionsread 12 August 2026
Photo

Знаете это чувство, когда собака будто понимает, злитесь вы или просто расстроены? Хотя, казалось бы, откуда ей знать разницу… Собаки действительно различают проявления гнева, страха, грусти. А наша улыбка для них – это эмоционально значимая награда. Когда мы улыбаемся, у собак активируется в мозге тот самый центр вознаграждения, который отвечает за удовольствия и приятное предвкушение. Все это подтверждает новое ис

211🔥43👍14🤗14💯5

10 Aug 2026, 18:41 UTC≈11,700 views34 reactionsread 12 August 2026
Advertisementerid 2VtzqvfepgjVideo

Дорогие друзья! Десятый, Юбилейный Интенсив онлайн-школы Karmalogic® стартует уже через месяц. А пока мы вместе с коллегами, мастерами Karmalogic® расскажем вам в подробностях про это историческое событие. Интенсив - это трехмесячная программа, в которой 54 закона Karmalogic® используются как прикладной инструмент диагностики. И один из способов - нейрографика, когда через рисование абстрактных фигур проявляются г

22👍10custom 53415837515309743602

10 Aug 2026, 15:39 UTC≈11,100 views137 reactions1 Starread 12 August 2026
Photo

Не баг, а фича: почему самоуверенность идет рука об руку с самобичеванием Есть загадка, которая давно интересует психологов: почему люди упорно переоценивают себя, даже когда это регулярно приводит к провальным решениям? Ученые из Университета Бата и LSE предложили изящный ответ: самоуверенность работает как хвост павлина. Дорогой, неудобный, но именно поэтому честный сигнал: позволить себе его может не каждый. Ло

👍7041🔥15🤔9👏2

10 Aug 2026, 12:30 UTC≈11,000 views176 reactions2 Starsread 12 August 2026
Photo

«Руководством компании, сделанной на века, можно считать то руководство, у которого есть ценности превыше денег» Выяснить, какие именно законы «заведуют» успехом, решили Мортен Хансен и Джим Коллинз, отправившиеся в девятилетнее путешествие-исследование, конечной целью которого было получить ответ на вопрос, почему одни компании процветают в условиях экономической нестабильности и даже хаоса, а другие гибнут. Резул

102👍47🔥24🥰3

8 Aug 2026, 13:45 UTC≈13,000 views136 reactions1 Starread 12 August 2026
Video

Когда вы в последний раз принимали решение, не сверяясь с поисковиком, не спрашивая совета у нейросетей, не заглядывая в навигатор и не листая отзывы? Есть разница между помощью и замещением. И граница между этими двумя явлениями стирается быстрее, чем кажется. Сегодня поговорим о том, как выжить в эпоху ИИ. Разберем, как технологии влияют на нашу жизнь: кто на самом деле управляет нашими решениями, почему поколени

👍7344🔥16🤓2custom 53415837515309743601

7 Aug 2026, 17:31 UTC≈14,300 views605 reactions1 Starread 12 August 2026
Photo

Как я благодаря знакам оказался на Языке Тролля Помните, я постоянно повторяю, что нужно научиться слышать знаки? Ох, как мне это помогло на днях… Рассказываю. Некоторое время назад появились потенциальные партнеры с идеей реализовать один из моих проектов в Европе. Обратная сторона публичности — это что за день иногда приходит до сотни тысяч писем и запросов. Поэтому времени на встречу все не удавалось найти. И т

🔥351137👏39👍35😁26🤩5🤝4🙏3

7 Aug 2026, 11:22 UTC≈12,400 views262 reactionsread 12 August 2026
Photo

Как приспособиться к техно-миру: практические рекомендации Мы с вами живем в уникальное время величайшего эволюционного эксперимента. Технологии уже изменили нас: они дали возможности, о которых наши предки не могли даже мечтать, но взамен предъявили суровый счет. Как нам, биологическим существам, не просто выжить, а процветать в этой цифровой среде? Как сделать так, чтобы технологии работали на наше долголетие, а

150👍52🔥23🙏15💯10🥰3🫡3custom 53415837515309743603

6 Aug 2026, 18:21 UTC≈13,900 views157 reactions1 Starread 12 August 2026
Photo

Когда диагноз теряет точность Друзья, прочитал новую статью британского психолога Уты Фрит (UCL), чьи исследования 1960-70-х годов заложили основы понимания аутизма. Статья опубликована в Cambridge University Press. Фрит поднимает вопрос о том, что диагноз «расстройство аутистического спектра» (РАС) расширялся так долго, что мог утратить клинический смысл. С 1980 года критерии последовательно смягчались, и на сего

86👍43🤔9🙏8🔥6👌4🤝1

6 Aug 2026, 11:20 UTC≈13,600 views256 reactionsread 12 August 2026
Photo

«Алексей Петрович, Ваш проект Karmalogic объединяет религию, психологию и теорию вероятностей. Где, на Ваш взгляд, проходит граница между законом судьбы и случайностью — и можно ли вообще управлять этой границей?» Дорогой читатель! Очень хороший вопрос Вы задали: где граница между законом судьбы и случайностью. Отвечаю. В основе проекта Karmalogic® лежит следующее понимание: «Твоя судьба зависит от того, насколько

152🔥45👍32💯8🙏7custom 53415837515309743605🤝4🫡3

Showing the 12 most recent of 32 posts we hold for @drSit. 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 — 78,070 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

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 13 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.

Маргулан Сейсембай
@MargulanSeissembai · 211,730
Telegram ranks this channel #12 of 96 here — alongside 95 others — read 11 August 2026
Сатья. Официальный канал
@satyadas_official · 199,316
Telegram ranks this channel #28 of 90 here — alongside 89 others — read 12 August 2026
Ирина Хакамада
@chillosophy · 149,454
Telegram ranks this channel #29 of 93 here — alongside 92 others — read 12 August 2026
Татьяна Мужицкая и все-все-все
@muzhitskaya · 165,210
Telegram ranks this channel #65 of 91 here — alongside 90 others — read 12 August 2026
Оперштаб Игорь Рыбаков
@rybakovigor · 152,050
Telegram ranks this channel #81 of 97 here — alongside 96 others — read 12 August 2026

This channel appears in 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Алексей Ситников” (@drSit), 100,407 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/drSit.

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.