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Channel
@denis_regressia
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
1,071subscribers
+4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001488387866 |
|---|---|
| Type | Channel |
| Username | @denis_regressia |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 2 times, most recently 8 September 2026 |
| On Telegram | t.me/denis_regressia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 06:24 | 1,071 | -5 |
| 30 Aug 2026, 23:07 | 1,076 | +1 |
| 27 Aug 2026, 13:12 | 1,075 | +1 |
| 24 Aug 2026, 15:15 | 1,074 | +3 |
| 20 Aug 2026, 17:33 | 1,071 | +1 |
| 17 Aug 2026, 15:36 | 1,070 | +4 |
| 14 Aug 2026, 08:07 | 1,066 | -1 |
| 10 Aug 2026, 22:35 | 1,067 | +1 |
| 8 Aug 2026, 00:45 | 1,066 | -1 |
| 7 Aug 2026, 09:47 | 1,067 | no change |
| 7 Aug 2026, 09:39 | 1,067 | first reading |
19 posts held, back to 12 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
203 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 48.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 98 | 48.3% | |
| custom 5424972470023104089 | 44 | 21.7% | |
| ❤🔥 | 24 | 11.8% | |
| custom 5438496463044752972 | 10 | 4.93% | |
| custom 5427168083074628963 | 6 | 2.96% | |
| 💯 | 6 | 2.96% | |
| custom 5447468963258723860 | 5 | 2.46% | |
| custom 5264714810573991520 | 4 | 1.97% | |
| 🙏 | 4 | 1.97% | |
| custom 5262898052292685483 | 1 | 0.493% | |
| 🤩 | 1 | 0.493% |
Custom emoji. 6 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 are Telegram’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 16 of the 19 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 12 June 2026 to 3 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @denis_regressia. 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 19 most recent posts we hold for this entry, published 12 June 2026 to 3 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.
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👍3💯1custom 52628980522926854831
Вопрос №27 Ученик: Как понять, попал человек в тета-ритм или нет? Денис Хамзин: Не нужно в самом начале сильно зацикливаться на том, попал человек именно в тета-ритм или нет. Для нас главное, чтобы он вошёл в транс и начал вспоминать прошлую жизнь. Именно на этом нужно делать основной акцент.
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Я заканчиваю 16й поток обучения и мои ученицы могут провести вам сеанс регрессии за видео отзыв. Есть 3 места. Кому интересно, пишите @den_regress
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Как сегодня я провел сеанс регрессии
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Вопрос №16 Ученик: Если человек лучше воспринимает запахи, ощущения или эмоции, чем картинки, можно ли через это вести регрессию? Денис Хамзин: Да, конечно. Не нужно ориентироваться только на визуальные образы. Мы можем работать через любой ведущий канал восприятия. Например, спросить: «Чем здесь пахнет?», «Какие ощущения в теле?», «Какие эмоции ты испытываешь?». Всё это помогает человеку глубже погрузиться в воспо…
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Друзья, мы всей нашей дружной командой зовем вас на первый межконфессиональный ретрит «Единство в многообразии», который пройдёт с 16 по 23 августа на берегу Камского моря. Представьте целую неделю, когда можно никуда не спешить 🌞 ⭐️ Природа Камского моря ⭐️ Комфортный отель ⭐️ Баня и бассейн ⭐️ Йога ⭐️ Вкусная вегетарианская кухня (формат «всё включено») А так же прогулки, новые знакомства и путешествие в Казань …
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Как заранее понять, насколько легко вы пройдёте регрессию Многие думают, что результат регрессии зависит только от техники погружения. На практике очень многое зависит от того, насколько хорошо у человека раскрыты каналы восприятия. Именно через них подсознание передаёт образы, ощущения, эмоции, внутренние знания и всю ту информацию, которая приходит во время сеанса. 🧠 Чем лучше работают каналы восприятия, тем легч…
👍8🙏1custom 52647148105739915201
❓Вопрос от ученика Мне кажется, что регрессология — это прежде всего искусство задавать вопросы. Ввести человека в состояние, наверное, не так сложно. А вот задать именно тот вопрос, который поможет найти нужный навык, добраться до глубинной причины или привести человека, например, в Мир Душ — вот это, как мне кажется, самое сложное. Я правильно понимаю? 💬 Ответ Да, абсолютно. Именно в этом и заключается настоящ…
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Showing the 12 most recent of 19 posts we hold for @denis_regressia. 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.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Регрессия в прошлые жизни с Денисом” (@denis_regressia), 1,071 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/denis_regressia.
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.