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Channel

Литература для психологов 2.0

@litforpsy2

On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry

18,247subscribers

+33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002052848057
TypeChannel
Username@litforpsy2
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/litforpsy2

Growth

18,21418,24718,230.57 August 2026 — 18,214 subscribers7 August 2026 — 18,216 subscribers8 August 2026 — 18,231 subscribers9 August 2026 — 18,237 subscribers10 August 2026 — 18,241 subscribers11 August 2026 — 18,246 subscribers12 August 2026 — 18,247 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net +33. 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 18,209–18,252 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:5418,247+1
11 Aug 2026, 17:2818,246+5
10 Aug 2026, 19:1618,241+4
9 Aug 2026, 20:2118,237+6
8 Aug 2026, 23:0418,231+15
7 Aug 2026, 23:0818,216+2
7 Aug 2026, 17:1518,214first reading

Engagement

29 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.89%
avg views ÷ 18,247 subscribers
Avg views / post
1,070
29 posts measured
Reaction rate
0.741%
reactions ÷ views · ER floor
Posts in window
29
of 29 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 10 August 2026
Posts held29 (4 August 202610 August 2026)
Views total31,155
Reactions total231
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 09:22 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

231 reactions across 29 posts, in 3 distinct kinds. The most used accounts for 94.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21894.4%
👍93.90%
🔥41.73%

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 29 of the 29 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 231reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 4 August 2026 to 10 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.

Advertising

Ad load
6.90%
2 of 29 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
303
over 2 measured posts
Median views · rest
1,120
over 27 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzquYEGwM110 August 202610 August 2026
2Vtzqw6UEyQ16 August 20266 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 29 most recent posts we hold, published 4 August 2026 to 10 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

10 Aug 2026, 08:00 UTC303 views3 reactionsread 10 August 2026
Advertisementerid 2VtzquYEGwMPhoto

Эффективная работа с травмой: рескриптинг как инструмент терапевта В работе с травмой нередко возникает ситуация, когда осознание и проработка опыта не приводят к изменениям: эмоциональные реакции остаются прежними, а автоматические паттерны продолжают воспроизводиться. Это связано с тем, что травматический опыт закрепляется на уровне эмоциональной памяти и не всегда поддаётся изменениям через вербальную работу. В

2👍1

9 Aug 2026, 15:00 UTC798 views8 reactionsread 10 August 2026
File

Психология зависти и алгоритм ее трансформации в личный ресурс Если тг не грузит

8

9 Aug 2026, 15:00 UTC796 views7 reactionsread 10 August 2026
Photo

Психология зависти и алгоритм ее трансформации в личный ресурс Зависть - это сложное эмоциональное состояние, которое часто табуируется, но несет в себе важную информацию о наших истинных потребностях. В этой статье мы разберем природу зависти, пошаговый план работы с ней через методы самопомощи и способы трансформации этого «токсичного» чувства в ресурс для личностного роста Если тг не грузит #психология_эмоций #

7

9 Aug 2026, 12:00 UTC864 views7 reactionsread 10 August 2026
Photo

Терапия синдрома отложенной жизни (краткосрочный и долгосрочный планы терапии) Если тг не грузит #психотерапия

7

9 Aug 2026, 12:00 UTC874 views9 reactionsread 10 August 2026
File

Терапия синдрома отложенной жизни (краткосрочный и долгосрочный планы терапии) Если тг не грузит

9

9 Aug 2026, 09:46 UTC820 views6 reactionsread 10 August 2026
File

Гайд «Вопросы для поиска исключений и ресурсов клиента» (в терапии, ориентированной на решение (ОРКТ) Если тг не грузит

6

9 Aug 2026, 09:46 UTC903 views7 reactionsread 10 August 2026
Photo

Гайд «Вопросы для поиска исключений и ресурсов клиента» (в терапии, ориентированной на решение (ОРКТ) Когда клиент в тупике и не может самостоятельно принять решение, вы можете предложить ему поработать с его ресурсным состоянием, чтобы выяснить, когда и за счет каких опор он чувствует себя лучше. Для этого в гайде приведены 33 полезных вопроса Если тг не грузит #ОРКТ #SFBT источник

7

8 Aug 2026, 14:27 UTC≈1,060 views7 reactionsread 10 August 2026
Photo

Инструкции по технике «Ресурсное место» в арт-терапии Эта техника помогает клиентам определить и создать визуальное представление безопасного, питательного пространства в их сознании. Это место служит психологическим ресурсом, к которому клиенты могут вернуться в стрессовые времена или когда им нужен комфорт и заземление Если тг не грузит #арт_терапия

7

8 Aug 2026, 14:27 UTC≈1,020 views6 reactionsread 10 August 2026
File

Инструкции по технике «Ресурсное место» в арт-терапии Если тг не грузит

6

8 Aug 2026, 11:01 UTC977 views8 reactionsread 10 August 2026
File

10 ключевых экспозиций для работы с тревогой в КПТ Если тг не грузит

8

8 Aug 2026, 11:01 UTC≈1,050 views7 reactionsread 10 August 2026
Photo

10 ключевых экспозиций для работы с тревогой в КПТ Эти экспозиции подойдут для работы с ГТР, ипохондрией, паническим расстройством, агорафобией и социофобией, а также с ОКР. Для каждой экспозиции я дала описание, как она работает, и какие фразы психолог может использовать при работе с ними Если тг не грузит #КПТ #тревога

7

7 Aug 2026, 14:50 UTC≈1,120 views9 reactionsread 10 August 2026
File

Диагностика типов детско-родительских отношений Если тг не грузит

9

Showing the 12 most recent of 29 posts we hold for @litforpsy2. 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.

Citation-graph rank

Citation-graph rank — 949,336 of 1,169,250entries 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“Литература для психологов 2.0” (@litforpsy2), 18,247 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/litforpsy2.

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.