Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
7 measurements spanning 42 days, net +24. 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 975–1,007 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 17:18
1,003
+8
11 Sept 2026, 08:01
995
-3
2 Sept 2026, 01:14
998
+2
25 Aug 2026, 02:24
996
+8
16 Aug 2026, 20:03
988
+9
8 Aug 2026, 00:45
979
no change
7 Aug 2026, 16:06
979
first reading
Engagement
20 posts held, back to 27 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
167 reactions across 17 posts, in 12 distinct kinds. The most used accounts for 36.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
61
36.5%
👍
33
19.8%
🔥
23
13.8%
💯
20
12.0%
🤣
6
3.59%
🙏
5
2.99%
🤔
5
2.99%
🤝
5
2.99%
🕊
4
2.40%
⚡
3
1.80%
💔
1
0.599%
🤗
1
0.599%
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 17 of the 20 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 167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 27 June 2026 to 7 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
515
across the posts below
Posts paid on
9
of 19 we hold a reading for · 47%
Most on one post
90
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @psyexpert75. 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 20 most recent posts we hold for this entry, published 27 June 2026 to 7 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.
ВСЕ МЫ КОГДА-ТО были молодыми (а кто-то и сейчас вполне) и почти все собирались, однажды, первый раз жениться (оно же замуж).
Лично я помню себя абсолютно четко верившим в то, что вот приключится свадьба и там дальше будет какой-то бесконечный праздник.
Я год с лишним зарабатывал на свадьбу и ее продолжение - путешествие.
Тогда, почти 30 лет назад, все было сильно скромнее и локальнее, НО…
Вряд ли что-то изменило…
НЕДЕЛЯ ВОПРОСОВ.
До вечера следующего четверга принимаю вопросы для субботнего аудиоразбора.
О чем можно спросить:
1. Отношения в браке и вне брака
2. Отношения с родителями, детская травма
3. Отношения с детьми
4. Связь между психическим и физическим состоянием
5. Острые состояния («больше не могу так!»)
6. Одиночество. Свобода. Ответственность. Реализация
7. Прочее, не попавшее в список, но интересующее (о…
Психолог Павел Гинзбург pinned «СЕГОДНЯ еще есть возможность задать вопрос к субботнему разбору. О чем можно спросить: 1. УОтношения в браке и вне брака 2. Отношения с родителями, детская травма 3. Отношения с детьми 4. Связь между психическим и физическим состоянием 5. Острые состояния…»
«Я ПЕРЕЖИВАЮ, что за неделю у меня ничего не произошло и мне нечего вам рассказать и спросить!»- сказала мне клиентка.
Это известное состояние. Так называемое «плато» в терапии.
Когда пропадает острота ощущений от изменений в жизни.
Как правило, это происходит на третьем-четвертом месяце работы и периодически возникает в дальнейшем.
Именно на плато клиенту предстоит выбор: идти дальше вверх или остановиться.
Каж…
Ставим на 1,5 и слушаем🙂
00:00 ✔️Возврат любви
03:58 ✔️Дочь и мошенники
08:15 ✔️Плевое дело
11:57 ✔️Дочь и внук
15:00 ✔️Что такое «отпустить»
17:58 ✔️Алчные особы
ВНЕПЛАНОВЫЕ ОТВЕТЫ НА ВОПРОСЫ, ибо многим не ответил в прошлый раз!⚡️
‼️ДЕТИ, ЖЕНЩИНЫ и прочее ‼️
Ставим на 1,5 и слушаем🙂
00:00 ✔️Возврат любви
03:58 ✔️Дочь и мошенники
08:15 ✔️Плевое дело
11:57 ✔️Дочь и внук
15:00 ✔️Что такое «отпустить»
17:58 ✔️Алчные особы
Ваши новые вопросы присылайте сюда: @psycholog_ginzburg
ИЛЛЮЗИЯ ИСКЛЮЧИТЕЛЬНОСТИ.
У всех (ну, или почти у всех), есть родственник, друг или знакомый, который гонит такой самогон по собственному уникальному рецепту, что ни в сказке сказать, ни пером описать! Выпить можно хоть литр, хоть два, пьется как компот. На утро, как огурчик.
Со слов производителя))
А по факту - обычный самогон с обычными последствиями.
То же самое с нашим представлением об
- уникальности наших с…
НЕ ДЕЛАТЬ.
* «Скажите, что мне делать: у меня очень много кредитов, тяжелейшие отношения с абьюзером, конфликты с детьми из-за учебы телефонов и опять денег. На фоне этого стала выпивать. Ощущение что все катится к х.ям! Как быть?»
___
* Подписчица дала разрешение сделать из ее вопроса пост.
Понятное дело, что я не посвящен в подробности и вряд ли представляю масштаб трагичности ситуации, но…
Что нам известно сове…
ЗАВИСИМОСТЬ
Сейчас была работа с зависимым клиентом.
Зависимостей - целый пучок. Всех мастей и направленностей.
Ключ всех зависимостей один и тот же - сомнительная вторичная выгода.
Работали с курением. Ну, и, естественно, вопрос:
«А вы сами курили?»
Я сам курил почти 20 лет.
Курил по 2-3 пачки в день на пике мастерства и развитости навыков.
Курил много и увлеченно.
Соответственно, кашлял, как зек со стажем, ст…
ПРО НАСТРОЙКИ
Получил несколько гневных отповедей на вопрос про мужчин, которые принимают или не принимают детей и ответственность за них.
- Нельзя всех под одну гребенку! Вот мой муж, так тот… с первого дня… душа в душу!!!
- Нельзя объяснять поступки мужчин первобытными отношениями и крестьянским укладом!
- Мужчина может не чувствовать любви, но ОБЯЗАН чувствовать ответственность!
Поясню. Вопрос был про то, ка…
00:00 ✔️За 1000 км.
05:40 ✔️Настройки мужчины
10:40 ✔️Здоровье мужа
14:49 ✔️Потеря и обретение
17:20 ✔️Стриптиз
21:20 ✔️Светлое будущее
👍3💯3🙏2
Showing the 12 most recent of 20 posts we hold for @psyexpert75. 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.
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.
Shares as published. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 27 June 2026 to 7 August 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Психолог Павел Гинзбург” (@psyexpert75), 1,003 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/psyexpert75.
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.