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Channel

Заметки аналитика

@jung_analysis

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

677subscribers

+4 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001167386818
TypeChannel
Username@jung_analysis
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/jung_analysis

Growth

6736776757 August 2026 — 673 subscribers8 August 2026 — 673 subscribers14 August 2026 — 677 subscribers7 August 202614 August 2026
3 measurements spanning 6 days, net +4. 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 672–678 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 00:14677+4
8 Aug 2026, 02:32673no change
7 Aug 2026, 12:37673first reading

Engagement

20 posts held, back to 4 October 2025the 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
30.8%
avg views ÷ 677 subscribers
Avg views / post
208
3 posts measured
Reaction rate
12.2%
reactions ÷ views · ER floor
Posts in window
3
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
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (4 October 20256 August 2026)
Views total625
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:32 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

Video runtime
47m 20s
Average length
11m 50s

Measured directly from 4 videos 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

398 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 56.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥22656.8%
custom 52829991220082214356616.6%
👍6315.8%
custom 5233719698046068739235.78%
custom 5431895781210598149184.52%
custom 543156125050287941220.503%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 20 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 398reactions 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 4 October 2025 to 6 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.

Recent posts

6 Aug 2026, 20:35 UTC159 views38 reactionsread 8 August 2026

Говорят, эпоха великих соборов закончилась. Человечество больше не создаёт храмов, строительство которых растягивается на столетие, а замысел устремлён к вечности. Однако в центре Барселоны до сих пор растёт Саграда Фамилия — возможно, последний великий собор Европы. Слово «растёт» здесь кажется более точным, чем «строится». В архитектуре Антонио Гауди почти нет форм, которые воспринимались бы как завершенные и н

🔥22👍9custom 54318957812105981497

Signed Ольга Зограбян

6 Aug 2026, 20:33 UTC158 views6 reactionsread 8 August 2026
Video

Video, posted without a caption

🔥3custom 52337196980460687392👍1

Signed Ольга Зограбян

27 Jul 2026, 17:21 UTC308 views32 reactionsread 8 August 2026

Друзья, хорошие новости. Наш бот успешно прошёл тестирование. Мы внимательно собрали все ваши замечания, отловили глюки, поправили слабые места и теперь чувствуем: система готова работать устойчиво и красиво. Поэтому мы выходим на старт с новым продуктом 21 августа. Отдельно важный момент про деньги: у всех, кто уже оплачивал бота, баланс сохранится. Ничего не сгорит и не потеряется, все оплаченные средства остану

🔥24👍8

Signed Ольга Зограбян

5 Jul 2026, 12:13 UTC458 views13 reactionsread 8 August 2026

«Во всем виноваты нарциссы?» Новый подкаст «Лекарь и пекарь». Все вокруг пишут и говорят об ужасных нарциссах. Человек находит в себе нарцистические черты и чувствует себя ущербным. Попробуем снять стигму с нарциссов. Ведь по точному выражению моей подруги (психолога и шаманки) Кати Потаповой «все самое красивое в этом мире создали нарциссы» (ссылку на ее канал оставлю в комментах) https://lekarpekar.mave.digital

🔥10👍3

Signed Ольга Зограбян

1 Jul 2026, 14:08 UTC551 views19 reactionsread 8 August 2026

Бот работает!

🔥16👍3

Signed Ольга Зограбян

30 Jun 2026, 05:30 UTC555 views9 reactionsread 8 August 2026

Бот пока не работает по независящим от нас причине. В дата-центре QupraDC проводятся восстановительные работы системы кондиционирования

👍6custom 52829991220082214353

Signed Ольга Зограбян

17 Jun 2026, 07:48 UTC711 views23 reactionsread 8 August 2026

Друзья, бот работают в тестовом режиме. Глючит, отваливается и все такое. Ркн делает свое дело. Будьте терпеливы. Не получается. Зависло. Попробуйте еще немного позже

🔥11custom 52829991220082214355custom 54318957812105981495👍2

Signed Ольга Зограбян

16 Jun 2026, 17:22 UTC766 views26 reactionsread 8 August 2026

@JungianAnalystBot

custom 528299912200822143510🔥8👍6custom 54318957812105981492

Signed Ольга Зограбян

16 Jun 2026, 17:21 UTC666 views3 reactionsread 8 August 2026
Photo

Photo, posted without a caption

🔥3

Signed Ольга Зограбян

16 Jun 2026, 17:20 UTC762 views27 reactionsread 8 August 2026

Первая — «Краткая интерпретация». Она предназначена для тех, кто не любит длинные тексты, не хочет глубоко погружаться в символы и предпочитает получить короткий и понятный ответ. Это более лёгкий и быстрый формат знакомства со сном. Вторая кнопка — «Авторская интерпретация». Люди, которые тестировали бота и хорошо знакомы с моей манерой работы со снами, говорят, что в этих интерпретациях очень заметно моё присутств

🔥11custom 52337196980460687399custom 52829991220082214355👍2

Signed Ольга Зограбян

16 Jun 2026, 17:20 UTC505 views20 reactionsread 8 August 2026

Встречайте) мой проект про сны! Впервые я почувствовала, что мне нужно сделать проект про сны, в июне 2023 года. Изначально идея была связана исключительно с визуализацией сновидений. Во-первых, потому что это красиво. Во-вторых, далеко не каждый сон нуждается в интерпретации, а мне самой хотелось сохранять образы своих снов в своеобразной электронной памяти. Тогда я попробовала приступить к созданию проекта, но н

🔥9custom 52337196980460687397custom 52829991220082214354

Signed Ольга Зограбян

16 Jun 2026, 17:20 UTC343 views8 reactionsread 8 August 2026
Video

Video, posted without a caption

custom 52829991220082214354🔥2custom 52337196980460687392

Signed Ольга Зограбян

Showing the 12 most recent of 20 posts we hold for @jung_analysis. 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 — 259,265 of 1,481,502entries 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

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.

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

“Заметки аналитика” (@jung_analysis), 677 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/jung_analysis.

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.