✍🏻 Написать администратору: @keytoadmin_bot
Алексей Капустин – цифровой психолог, нумеролог. Автор книг-бестселлеров, создатель нумерологического Калькулятора и Школы KeyTo.
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — 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 46% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 27 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @alexey_kapustin_official — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
34 measurements spanning 43 days, net -665. 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 48,442–49,307 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 02:17
48,542
-48
16 Sept 2026, 19:58
48,590
-32
15 Sept 2026, 00:59
48,622
-36
13 Sept 2026, 07:37
48,658
-40
11 Sept 2026, 07:19
48,698
-48
8 Sept 2026, 13:19
48,746
-54
5 Sept 2026, 08:59
48,800
-8
3 Sept 2026, 13:20
48,808
-16
2 Sept 2026, 06:47
48,824
-11
1 Sept 2026, 05:08
48,835
-12
31 Aug 2026, 02:06
48,847
-19
30 Aug 2026, 03:37
48,866
-14
29 Aug 2026, 04:16
48,880
-17
28 Aug 2026, 00:54
48,897
-18
26 Aug 2026, 23:53
48,915
-19
26 Aug 2026, 00:56
48,934
-24
25 Aug 2026, 04:07
48,958
-24
23 Aug 2026, 21:44
48,982
-22
22 Aug 2026, 05:36
49,004
-27
20 Aug 2026, 17:49
49,031
first reading
Engagement
97 posts held, back to 27 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 102 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.9%
avg views ÷ 48,542 subscribers
Avg views / post
5,270
43 posts measured
Reaction rate
1.07%
reactions ÷ views · ER floor
Posts in window
43
of 97 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 24 September 2026
Posts held
97 (27 July 2026 – 24 September 2026)
Views total
226,820
Reactions total
2,417
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 08:10 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
≈1,390
Videos
≈563
Links
≈1,200
Lifetime counters from Telegram’s own channel header, read 25 September 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
17m 23s
Average length
50s
Measured directly from 21 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
5,218 reactions across 97 posts, in 12 distinct kinds. The most used accounts for 58.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,061
58.7%
🔥
1,133
21.7%
💯
365
7.00%
❤🔥
278
5.33%
👍
235
4.50%
🙏
110
2.11%
🤩
9
0.172%
😍
8
0.153%
👎
7
0.134%
👏
7
0.134%
🥰
3
0.057%
⚡
2
0.038%
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 97 of the 97 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 5,218 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 27 July 2026 to 24 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
127
across the posts below
Posts paid on
9
of 97 we hold a reading for · 9%
Most on one post
111
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alexey_kapustin_official. 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 97 most recent posts we hold for this entry, published 27 July 2026 to 24 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.
📎 КАК ВЫГЛЯДИТ РАЗБОР ПО ДАТЕ РОЖДЕНИЯ?
Друзья, на этой записи экрана вы можете ознакомиться с примером полного письменного разбора от Алексея Капустина.
📂 PDF-документ объёмом 30-35 страниц формата А4.
🗓 Готовность до 7-ми рабочих дней.
🆔 Результат отправим на электронную почту или в любой удобный мессенджер.
✍🏻 Для оформления заказа и уточнения подробностей, отправьте слово «РАЗБОР» моему администратору ➡️ @keyt…
ДАТА РОЖДЕНИЯ ЗНАЕТ О ВАС БОЛЬШЕ, ЧЕМ ВЫ САМИ 🤫
Представьте на минуту…
Вы просыпаетесь – и точно знаете, в чём ваша сила. Не сомневаетесь, не сравниваете себя с другими. Просто знаете и опираетесь на это.
Вы смотрите на партнёра – и понимаете природу ваших отношений. Где вы растёте вместе, а где бьётесь в закрытую дверь.
Вы выбираете проект, партнёра по бизнесу или имя для бренда – и сразу видите, что из этого по…
«Почему я снова выбрала того, кто меня унижает?» 💔
С этим вопросом к Алексею Капустину пришла женщина. Ей 37 лет. За плечами – два брака и длительные отношения. И каждый раз – один и тот же сценарий👇🏻
• Первый муж. Родился 13 числа. Прожили 6 лет. Сначала он был внимательным. А потом началось.
Он мог при друзьях сказать: «Ты что, дура?» – и засмеяться. Мог повысить голос из-за немытой чашки. Мог уйти в молчание на…
🕯️ЭНЕРГЕТИЧЕСКАЯ ГИГИЕНА: как перестать сливать энергию
Чувствуете постоянную усталость, упадок сил и опустошение после общения с людьми?
В новом видео Алексей Капустин подробно разбирает, что такое энергетическая гигиена, как перестать сливать жизненную энергию в чужие каналы и как правильно разорвать токсичные энергетические привязки.
👉🏻 Вы узнаете, как работает механизм привязок (в том числе после прошлых отнош…
🔒 НОВЫЙ МАРАФОН В ЗАКРЫТОМ КАНАЛЕ: «ЭНЕРГИЯ ЗДОРОВЬЯ»
Друзья, сегодня в закрытом канале К+ | Капустин+ мы запустили новый марафон – «ЭНЕРГИЯ ЗДОРОВЬЯ» 🩺
Девять дней. Девять энергий. Девять разговоров о том, что на самом деле стоит за болезнями каждой даты рождения.
Знакомая ситуация? 🤔👇🏻
• Годами болит одно и то же место – а врачи разводят руками
• Плохое самочувствие, но анализы идеальные, а причину никто не нах…
🗓 Прогноз на неделю 21 – 27 сентября
Найдите свою дату рождения, чтобы узнать, как прожить этот период эффективно ⤵️
▪️Единицы (1, 10, 19, 28)
Неделя про деньги и ресурсы: проверьте счета, закройте мелкие долги, отпишитесь от подписок, которые давно съедают бюджет. Появится возможность подзаработать или пересмотреть цену на свои услуги – не скромничайте. В личных отношениях возможна проверка на прочность: кто-то …
ЛЮДИ, РОЖДЁННЫЕ В ЭТИ ЧИСЛА, НИКОГДА НЕ ПРОСЯТ ПРОЩЕНИЯ ПЕРВЫМИ ⤵️
Есть люди, которые умеют признавать ошибки и делать шаг навстречу. А есть те, для кого извиниться первым – почти невозможно. И дело тут не в характере. Дело в энергии, которая заложена в дате рождения.
📌 Рождённые 1 числа
Число Ума 1 – это энергия Солнца. Лидер, царь, человек, который привык быть правым по определению. Для него признать ошибку – зн…
«А я получу сертификат?» – самый частый вопрос про Школу KeyTo 🎓
Друзья, нас часто спрашивают: «Ну выучусь я, а дальше что? Это где-то засчитывается? Меня признают?»
Отвечаем прямо: да.
После окончания Школы Алексея Капустина каждый ученик получает официальный документ государственного образца о прохождении обучения 📄
Это подтверждение вашей квалификации, с которым вы выходите на совершенно новый уровень!
Мы не …
ОТЗЫВ ПОСЛЕ ОБУЧЕНИЯ В ШКОЛЕ АЛЕКСЕЯ КАПУСТИНА 🎓
Друзья, до старта Профессионального обучения (для тех, кто прошёл Базу) – всего неделя! Самое время поторопиться и записаться на ближайший поток, который стартует уже 25 сентября.
Пишите «ШКОЛА» → @keytoadmin_bot 📩
А если вы новичок и только начинаете изучение цифр – приглашаем вас в Базовую Школу, которая состоится 15 октября.
Больше информации про Школу 👉🏻 в этом…
😂 Сегодня в 19:00 – открытый прямой эфир с Алексеем Капустиным!
Будем обсуждать и разбирать то, что беспокоит и тревожит вас 🙏🏻
Для просмотра переходите по ссылке ниже:
📱 Instagram
Всех ждём, до встречи!
☝🏻Вот так работает Цифровая Психология. Не гадание, не «судьба», не «звёзды так сошлись». Конкретный инструмент, который показывает, что происходит и почему.
Это не магия и не что-то «для избранных». Это навык. И ему можно научиться!
В Школе KeyTo мы не даём поверхностных знаний. Здесь не заучивают значения цифр по шаблону – здесь учат видеть, как числа складываются в характер, судьбу и сценарии конкретного человек…
«Мы на грани развода. Помогите» 💔
С этой фразы началась одна из консультаций Алексея Капустина.
💟 Женщина, 38 лет, замужем 9 лет, двое детей. Говорит:
«Всё было хорошо. А последний год между нами как будто стена. Мы даже не ссоримся. Мы просто молчим. Он приходит с работы, ужинает, утыкается в телефон. Я всё делаю сама – уроки, кружки, готовка, счета. А он как будто в другом мире. Я уже собираю вещи. Не знаю, заче…
🔥69❤32👍7🙏4
Showing the 12 most recent of 97 posts we hold for @alexey_kapustin_official. 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.
Posts edited after publishing
@alexey_kapustin_official 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.
First edit seen
5 September 2026
Most recent edit
5 September 2026
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.
Пока не успел(а), но сделаю это в ближайшее время!20%
Впервые слышу про Калькулятор, хочу узнать больше.23%
У меня не iOS 🥺51%
The shares total 102%, 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 97 most recent posts we hold, published 27 July 2026 to 24 September 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.
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Алексей Капустин | НУМЕРОЛОГИЯ” (@alexey_kapustin_official), 48,542 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/alexey_kapustin_official.
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.