4 measurements spanning 7 days, net -26. 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 7,300–7,334 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 23:04
7,304
-15
11 Aug 2026, 05:01
7,319
-11
8 Aug 2026, 05:31
7,330
no change
8 Aug 2026, 02:33
7,330
first reading
Engagement
25 posts held, back to 21 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.1%
avg views ÷ 7,304 subscribers
Avg views / post
1,830
25 posts measured
Reaction rate
3.31%
reactions ÷ views · ER floor
Posts in window
25
of 25 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. It is computed over the 24 of 25 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
25 (21 July 2026 – 12 August 2026)
Views total
45,870
Reactions total
1,472
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:45 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.
Reaction mix
1,472 reactions across 24 posts, in 18 distinct kinds. The most used accounts for 56.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
832
56.5%
🔥
230
15.6%
👍
134
9.10%
🤣
46
3.13%
🎉
44
2.99%
💯
39
2.65%
🙏
30
2.04%
😍
28
1.90%
👌
22
1.49%
😁
19
1.29%
😱
15
1.02%
😢
10
0.679%
🤯
9
0.611%
❤🔥
6
0.408%
🥰
5
0.34%
🆒
1
0.068%
👏
1
0.068%
🤩
1
0.068%
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 24 of the 25 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 1,472reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 21 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
7
across the posts below
Posts paid on
7
of 25 we hold a reading for · 28%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @practicalneuropsy. 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 25 most recent posts we hold for this entry, published 21 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.
Занимательная рекомендация не на тему нейропсихологии в духе запрещенных сетей.
Если Вы еще этого не сделали, сделайте сегодня.
Зайдите в госуслуги и проверьте, какие номера мобильной связи на Вас оформлены.
Для меня было удивительно получить счет в госуслугах за номер, который оформлен в далеком-далеком городе, в котором я никогда не бывала.
Зайдя на госуслуги я обнаружила номера, которые я вижу первый раз в жиз…
Очень смешную картинку прислал мне друг. Вот так он видит меня и мои увлечения. Это вообще очень интересно, как видят тебя люди со стороны. Присылайте свои ассоциации, можно текстом)
Ну что, похоже мой следующий год будет существенно отличаться от предыдущих 43.
Ощущения смешанные: это и сожаление и немного тревога, не поймешь, от расставания с прошлым или в предвкушении будущего.
В общем, перемены серьезные. Но, как говорится, кто не меняется, тот не развивается.
❤️❤️❤️
А вот наши выпускники 🧑🎓 активно используют возможность получения консультаций после окончания обучения в нашем закрытом сообществе.
Просто хвастаюсь))
Сегодня на курсе профессиональной передподготовки по нейропсихологии учасникам открылся блок, в котором содержится более 40 часов разборов самых актуальных вопросов начинающих и опытных специалистов. Почему этот блок открывается первым? Чтобы сориентироваться в разнообразии вопросов, с которыми придется столкнуться в практике, найти те, что откликаются вашей текущей или планируемой сфере работы и зафиксировать, какие…
Коллеги, а Вы все знаете про наш бесплатный лекторий? Летом в свободном режиме можно погружаться в изучение интересных тем по профессии совершенно бесплатно! https://ipnin.com/lekcii_po_nejropsihologii
Итак!
В пятницу всем, кто уже подал документы на программу ДПО «Нейропсихология» в объеме 1100 часов откроется блок с экспертными часами.
Там более 40 часов ответов на вопросы практикующих и начинающих специалистов.
Это позволит понять, с чем встречаются в практике специалисты и на какие темы в процессе прохождения программы необходимо будет обратить особенное внимание.
По отзывам слушателей курса - этот блок - тес…
Я сейчас серьезно подсела на ИИ 🤖
Ну не в том формате, где «напиши мне пост» или «сделай презентацию», а на более системных задачах.
Читаю разные каналы, смотрю кучу примеров внедрений.
Что хочу сказать.
Все как обычно. Все как я всегда говорю. Можно сделать что угодно. Надо только знать что и зачем😂. Иначе выходит неизвестно что, неизвестно зачем.
А для этого нужен мозг. Свой.
Ахахх. Вот такие дела. Жизнь идет, су…
Как развивать память у ребенка?
Вопрос, с которым специалисты сталкиваются и в своей работе, и в коммуникации с родителями. Родителей обычно волнует то, что мы называем рабочей памятью, по типу «он не может запомнить задачу, что делать?».
Что делать?
Ну, например, обучить ребенка способам манипуляции с информацией вместо прямого запоминания.
Что это за способы:
группировка (это когда 7 2 9 4 превращается в 72 и 94) …
Вообще я ни разу не хозяюшка, но мои малосольный огурцы - это бомба.
Кто что заготавливает? Объявим кулинарный поединок? 😂
🔥41👍9🤣9❤3
Showing the 12 most recent of 25 posts we hold for @practicalneuropsy. 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 — 564,871 of 1,480,688entries 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
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.
Declared links
3 URLs this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Мария Каменецкая о нейропсихологии” (@practicalneuropsy), 7,304 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/practicalneuropsy.
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.