Channel

Мысли волнами: искусство психологии

@psihologiyaUMA

On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

1,256subscribers

+8 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	-1001905924287
Type	Channel
Username	@psihologiyaUMA
Created	Between 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	7 August 2026
Last confirmed live	16 August 2026
Measurements held	5
Confirmed unchanged	1 time, most recently 16 August 2026
On Telegram	t.me/psihologiyaUMA

Growth

5 measurements spanning 9 days, net +8. 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 1,247–1,257 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
16 Aug 2026, 21:56	1,256	+1
14 Aug 2026, 00:55	1,255	+4
11 Aug 2026, 05:18	1,251	+3
7 Aug 2026, 23:01	1,248	no change
7 Aug 2026, 12:08	1,248	first reading

Engagement

20 posts held, back to 18 April 2025 — 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days: 7.96%; avg views ÷ 1,256 subscribers
Avg views / post: 100; 1 post measured
Reaction rate: —; this channel exposes no reaction counts
Posts in window: 1; of 20 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
Window	Rolling 30 days · latest post in window 23 July 2026
Posts held	20 (18 April 2025 – 23 July 2026)
Views total	100
Reactions total	—
Forwards / comments	not exposed by the public surface — not measured, not estimated
Readings taken	7 Aug 2026, 23:01 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.

Recent posts

23 Jul 2026, 14:08 UTC100 viewsread 7 August 2026

🇷🇺 - подпишитесь на 2 лучших телеграмм канала 🇬🇧 - Subscribe to the 2 best Telegram channels 1. @XneoNews 2. @FreebiesHack

16 Apr 2026, 13:05 UTC425 viewsread 7 August 2026

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Устал искать нормальную удалёнку? У нас сотни вакансий со всех площадок в одном канале. «Работа на Диване» — канал, где каждый день публикуются только реальные удалённые вакансии, без спама. 📍 Маркетинг, дизайн, продажи, ассистенты 📍 Только с указанной ЗП 📍 Только удалёнка 📍 С опытом и без 🎁 Даем за подписку: ✔️ Гайд, как составить резюме, чтобы найти работу быстро ✔️ Шаблон сопроводительного письма, чтобы тебя з…

25 Sept 2025, 06:00 UTC≈1,180 viewsread 7 August 2026

### ВЛИЯНИЕ ЦИФРОВОЙ СРЕДЫ НА ЭМОЦИОНАЛЬНУЮ УСТОЙЧИВОСТЬ Цифровая среда, особенно социальные сети, оказывает сильное влияние на наше психическое здоровье. Давайте разберемся, как это происходит. 🌐 #### ПОЛОЖИТЕЛЬНОЕ ВЛИЯНИЕ Социальная поддержка Соцсети могут стать источником эмоциональной поддержки и чувства принадлежности. Это особенно полезно для снижения тревожности и одиночества. Успешное самовыражение в сети …

17 Sept 2025, 14:00 UTC687 viewsread 7 August 2026

# ПСИХОЛОГИЯ ЛИЧНОСТИ В ЦИФРОВОМ ОБЩЕСТВЕ 🌐 Век технологий кардинально меняет нашу идентичность и социальные связи. Важно понимать, как цифровое общество формирует наше «я». Ключевые изменения: 1. Социализация средствами технологий: Цифровые устройства становятся главными помощниками для общения. Однако из-за этого возникает размытость личной идентичности. 🤔 2. Роль социальных сетей: Они не только соединяют людей,…

30 Aug 2025, 14:00 UTC411 viewsread 7 August 2026

ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ АДАПТАЦИИ К ЦИФРОВОЙ ЭПОХЕ Технологии — неотъемлемая часть нашей жизни! 📲 Но как они влияют на наши эмоции и межличностные отношения? Давайте разберёмся. Эмоциональное благополучие Цифровые технологии могут развивать наш эмоциональный интеллект, помогая понимать и управлять эмоциями. Однако их влияние на эмоциональную сферу противоречиво. 🤔 Исследования показывают, что есть как положительны…

29 Aug 2025, 14:00 UTC273 viewsread 7 August 2026

🌈ПСИХОЛОГИЯ ЦВЕТОВОГО ВОСПРИЯТИЯ 💡 Понимание того, как цвета влияют на наше восприятие, может обогатить нашу жизнь. Физиологические факторы определяют, какие цвета мы видим. Колбочки в наших глазах реагируют на различные волны света: синий, зеленый и красный. 🌍 Культурные и социальные факторы также играют существенную роль в том, как мы воспринимаем цвет. Например, теории Геринга выделяют основные «первичные цветы»…

28 Aug 2025, 14:45 UTC227 viewsread 7 August 2026

# ПСИХОЛОГИЯ ГРАНИЦ: УСТАНАВЛИВАЕМ ЗДОРОВЫЕ ОТНОШЕНИЯ 🌟 Что такое личные границы? Личные границы — это правила, которые помогают человеку чувствовать себя комфортно в отношениях. Они делятся на несколько категорий: - Эмоциональные: Защита психики, например, просьба избегать нравоучений. - Физические: Установка границ в физических взаимодействиях, если, к примеру, не комфортно обниматься. - Сексуальные: Определяют д…

16 Jul 2025, 14:00 UTC467 viewsread 7 August 2026

# КАК НАУЧИТЬСЯ РАСПОЗНАВАТЬ МАНИПУЛЯЦИИ В ОБЩЕНИИ 🤔 Вы когда-нибудь задумывались, почему некоторые разговоры оставляют странное послевкусие? Возможно, вас просто «обработали» с помощью психологических трюков. Самообман и манипуляции поджидают нас на каждом шагу, и распознать их — настоящий искусство! ### 1. Ослепляющая уверенность 🎭 Манипуляторы часто демонстрируют чрезмерную уверенность в своих словах. Например, …

18 Jun 2025, 14:00 UTC477 viewsread 7 August 2026

# ПСИХОЛОГИЧЕСКАЯ ЗАЩИТА ИЛИ САМООБМАН: КАК РАСПОЗНАТЬ 🎭 Каждый из нас хоть раз в жизни задавался вопросом: «Что происходит, когда защитные механизмы становятся преградой, а не опорой?» Психологическая защита — это естественная реакция на стресс, однако иногда она может превратиться в самообман, тормозя развитие. Как отличить одно от другого? Давайте рассмотрим несколько ключевых моментов. ### 1. Избегание ответст…

27 May 2025, 13:06 UTC426 viewsread 7 August 2026

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22 May 2025, 07:05 UTC330 viewsread 7 August 2026

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14 May 2025, 12:45 UTC282 viewsread 7 August 2026

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Showing the 12 most recent of 20 posts we hold for @psihologiyaUMA. 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 — 1,336,153 of 1,480,975entries 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.

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.

Отзывы
@otziviumo · 241 post

Names

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

keep
@XneoNews · 3401 post

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.

Handles this channel named that no longer answer

Dead references: 1; handles named in this channel’s posts, vacant today
Evidenced gone: 0; we ourselves saw one of these resolve, at some point
Never seen alive: 1; vacant every time we have ever looked

@psihologiyaUMA named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.

Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.

Never seen alive

References a handle that is not a live channel — we have no record it ever was one.

@freebieshack
named in 1 post, 8 August 2026 – 8 August 2026

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

“Мысли волнами: искусство психологии” (@psihologiyaUMA), 1,256 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/psihologiyaUMA.

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.