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Channel

Мария Соболева | Диалог

@sobo1eva_psy

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

24subscribers

+0 since we began measuring on 4 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002076764900
TypeChannel
Username@sobo1eva_psy
DescriptionВещаю о том, как выстроить диалог в отношениях до того, как кто-нибудь начнёт мысленно делить имущество
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 October 2026
Last confirmed live14 October 2026
Measurements held2
On Telegramt.me/sobo1eva_psy

Growth

244 Oct 2026, 08:47 — 24 subscribers4 Oct 2026, 09:22 — 24 subscribers4 Oct 2026, 08:474 Oct 2026, 09:22
2 measurements taken within a single day. 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 23–25 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 09:2224no change
4 Oct 2026, 08:4724first reading

Engagement

14 posts held, back to 19 August 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.

ERR · 30 days
50.0%
avg views ÷ 24 subscribers
Avg views / post
12.0
1 post measured
Reaction rate
33.3%
reactions ÷ views · ER floor
Posts in window
1
of 14 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 24 September 2026
Posts held14 (19 August 2026 – 24 September 2026)
Views total12
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 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.

What this channel posts

Photos
68
Videos
26
Links
3

Lifetime counters from Telegram’s own channel header, read 4 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
25s
Average length
25s

Measured directly from 1 video 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

48 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1531.3%
💯918.8%
❤816.7%
👍714.6%
😁612.5%
🥰24.17%
😍12.08%

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 13 of the 14 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 48 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 19 August 2026 to 24 September 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.

Recent posts

24 Sept 2026, 16:20 UTC12 views4 reactionsread 4 October 2026
Photo

Почему наша собака не жрёт обувь — и при чём тут семейные ссоры👇🏻 С появлением Герды наша жизнь довольно бодро перестроилась. Было ли нам привычно? Нет. Вообще нет. Но теперь мы занимаемся. Каждый день что-то повторяем, закрепляем, учим. И результаты есть🔥 Раньше выдержка была буквально секунды три — и она убегала. Сейчас после прогулки Герда может спокойно сидеть в коридоре несколько минут, ждать, пока я разденус…

🔥3😍1

19 Sept 2026, 07:00 UTC16 views4 reactionsread 4 October 2026
Photo

Есть вопросы, на которые опасно отвечать словом «нормально». — Тебе понравилось? — Нормально. — Ты как? — Нормально. — Тебя всё устраивает? — Нормально. Одно слово, а количество возможных трактовок — как у финала артхаусного фильма. Потому что «нормально» может означать и «всё хорошо», и «мне вообще-то не понравилось», и «я сейчас не хочу это обсуждать». А второй человек потом сидит и гадает, какое именно «норм…

❤2💯2

18 Sept 2026, 18:02 UTC16 views4 reactionsread 4 October 2026
Photo

Интересная мысль дня💭 Некоторые разговоры портятся ещё до первой фразы — просто потому, что мы уже заранее придумали, что нам сейчас ответят

💯3👍1

15 Sept 2026, 09:05 UTC22 views5 reactionsread 4 October 2026
Video

Просто пусть будет здесь😌

🔥3🥰2

8 Sept 2026, 08:55 UTC29 views1 reactionsread 4 October 2026
Photo

Мысль, которую люди редко осознают Иногда мы злимся не потому, что человек сделал что-то ужасное, а потому что он сделал не так, как на его месте поступили бы мы.

❤1

7 Sept 2026, 08:35 UTC29 views1 reactionsread 4 October 2026
Photo

Мне кажется, есть на свете человек, который после слова «успокойся» действительно успокоился Но лично я с ним пока не знакома🤔

😁1

4 Sept 2026, 09:02 UTC33 views4 reactionsread 4 October 2026

В каждой семье есть свой Росстат Особенно когда речь заходит о том, кто сколько делает дома. В свежем исследовании 235 пар обнаружили любопытную вещь: муж и жена нередко совсем по-разному оценивают, кто сколько делает по дому. И чем сильнее эти оценки не совпадают, тем меньше люди довольны отношениями. То есть спор иногда выглядит не так: — Я делаю 80%, ты 20%. А так: — Я делаю 80%. — В смысле? Это я делаю 80%. …

💯2😁2

2 Sept 2026, 09:00 UTC47 viewsread 4 October 2026
Photo

Вот это поворот. 42% россиян в отношениях не уверены, что рядом с ними «тот самый» человек. То есть почти каждый второй живёт не в твёрдом «да», а где-то в районе «вроде да, но…» Такие данные показал свежий опрос бренда SMART DIAMONDS от компании «585 Золотой».

1 Sept 2026, 16:05 UTC287 views8 reactionsread 4 October 2026
Photo

Иногда лучший способ добиться от человека своего — сразу признать его право вас послать. Жене нужно было срочно записать озвучку. И, конечно, именно в этот момент вселенная решила проверить его на прочность: в одной квартире дрель, в другой музыка на всю катушку. И тут можно было пойти к соседям с классическим: «Ну вообще-то здесь люди живут. Можно потише? Вы не одни». И почти гарантированно получить: «А ты вообще …

🔥6👍2

1 Sept 2026, 09:01 UTC33 views5 reactionsread 4 October 2026
Photo

Интересное наблюдение 👀 Люди очень хотят, чтобы их поняли. Но почему-то начинают объяснять свою мысль так, что второму понимать уже ничего не хочется

❤3🔥2

29 Aug 2026, 19:02 UTC30 views3 reactionsread 4 October 2026
Photo

Хорошая социальная реклама Это как раз та самая ситуация, когда не надо подбирать слова — надо бежать🏃‍♀️

👍2🔥1

26 Aug 2026, 16:01 UTC38 views6 reactionsread 4 October 2026
Photo

Есть люди, которым проще два часа ругаться, чем один раз сказать: «Да, я облажался». Причём это не обязательно какие-то ужасные люди. Просто для некоторых признать маленькую ошибку почему-то страшнее, чем устроить международный трибунал. — Ты забыл мне написать. — А ты сама никогда не пишешь первой! — Я сейчас вообще не об этом. — Нет, ну раз уж начали… И всё. Через десять минут обсуждаются уже 2023 год, её мама, е…

❤2👍2💯2

Showing the 12 most recent of 14 posts we hold for @sobo1eva_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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Мария Соболева | Диалог” (@sobo1eva_psy), 24 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/sobo1eva_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.