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Channel

Евгений Идзиковский | Психология

@idzikovsky_psy

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,164subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001477642377
TypeChannel
Username@idzikovsky_psy
CreatedBetween 1 April 2019 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/idzikovsky_psy

Growth

1,1631,1641,163.57 August 2026 — 1,163 subscribers7 August 2026 — 1,163 subscribers10 August 2026 — 1,164 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net +1. 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 1,163–1,164 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 19:381,164+1
7 Aug 2026, 23:331,163no change
7 Aug 2026, 15:221,163first reading

Engagement

19 posts held, back to 15 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.5%
avg views ÷ 1,164 subscribers
Avg views / post
227
5 posts measured
Reaction rate
1.76%
reactions ÷ views · ER floor
Posts in window
5
of 19 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 30 July 2026
Posts held19 (15 April 202630 July 2026)
Views total1,136
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:33 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

Video runtime
1m 39s
Average length
25s

Measured directly from 4 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

110 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 33.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3733.6%
1614.5%
👍1412.7%
😁1210.9%
🔥98.18%
76.36%
❤‍🔥76.36%
🆒32.73%
💯32.73%
🤝21.82%

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 18 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 110reactions 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 15 April 2026 to 30 July 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
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @idzikovsky_psy. 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 15 April 2026 to 30 July 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.

Recent posts

30 Jul 2026, 12:39 UTC158 views5 reactionsread 7 August 2026

Сейчас плотный сезон, в начале сентябре 3 контентных выступления и потом еще два. Почти везде буду рассказывать про модели мышления, 3/5 будут с записями. Ключевой и самый интерес вопрос - что делать, когда голова не дает нужный результат. Или дает, но ненужный ))

🔥3🆒2

15 Jul 2026, 15:53 UTC288 views6 reactionsread 7 August 2026

Что эпичного может быть после ИТ конфы? Повисеть на современной дыбе и полежать на гвоздях. Люблю Питер. Интересно, что по Райху наши мысли и переживания транслируются в тело. И можно убирать зажимы работой с психотравмами, а можно расчищать травмы, работая с телом. Сам я не практикую телесную терапию, а на меня работает отлично.

👍42

11 Jul 2026, 11:59 UTC365 views7 reactionsread 7 August 2026
File

File, posted without a caption

🔥4❤‍🔥3

9 Jul 2026, 16:54 UTC374 views8 reactionsread 7 August 2026

Постараюсь, кстати, сделать съёмку (местной не будет), но не обещаю

8

9 Jul 2026, 16:45 UTC375 views7 reactionsread 7 August 2026

И третий доклад! (Да, их прям три). "Вина, границы, страх быть неудобными." Спойлер - это и про психологические причины и про реакцию системы и её обучение на наше автоматическое "да". Если кто думает, что так он/она помогает компании, внезапно - нет. Психологическая подоплёка, кстати, всегда примерно одинаковая - там или страх конфликта/недовольства или страх отвержения или желание купить любовь и симпатию. Я им бу

👍7

8 Jul 2026, 19:09 UTC366 views5 reactions1 Starread 7 August 2026

Мы хотим показывать людям одно, а они видят совсем другое. Но нам не говорят, потому что наши реакции (и реакции других людей) формируют устойчивые паттерны - это говорим, а то не говорим. Хороший пример - плохой запах изо рта. Человек может об этом не знать месяцами. Не принято говорить. Но люди дистанцируются. Аналогично - хотим показать экспертность, а видят умничание, симпатию, а людям кажется, что хотим обманут

5

7 Jul 2026, 18:57 UTC339 views12 reactionsread 7 August 2026
Photo

Вот беглянка думает как снова нас обмануть

12

7 Jul 2026, 18:37 UTC310 views8 reactionsread 7 August 2026
Photo

На днях ящерица сбежала из террариума. Караулила выход 1.5 года и таки дождалась удобного момента. Найти в квартире тяжело, потому что она хищник оппортунист и специально за едой и водой не выйдет. Просто будет лазать под шкафами/диванами в надежде, что съедобное само появится. Таймер несколько дней. Начал на всякий случай расставлять крышечки с водой вдоль потенциальных троп. Поискали-поискали, не нашли. Потом я за

8

6 Jul 2026, 19:08 UTC311 views15 reactionsread 7 August 2026

Итак, спойлер к новой классной идее! О чем нам говорит критическое мышление? 1) Если человек в аффекте, он будет принимать не лучшие решения. Есть разные способы определять что ты в аффекте, бороться с этим итд. 2) Если человек под влиянием когнитивных искажений, решение тоже будет далеким от оптимального. Учимся распознавать искажения итд !!! Однако!!! Если наш главный герой не в аффекте и распознал/поборол все и

744

Showing the 12 most recent of 19 posts we hold for @idzikovsky_psy. 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.

Mentions

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Евгений Идзиковский | Психология” (@idzikovsky_psy), 1,164 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/idzikovsky_psy.

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.