15 measurements spanning 28 days, net +962. 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 8,837–10,233 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 11:00
10,072
+21
2 Sept 2026, 08:38
10,051
+17
1 Sept 2026, 08:37
10,034
+15
31 Aug 2026, 07:22
10,019
+8
30 Aug 2026, 05:16
10,011
-8
29 Aug 2026, 06:13
10,019
+259
26 Aug 2026, 14:05
9,760
+239
23 Aug 2026, 08:12
9,521
+119
19 Aug 2026, 15:13
9,402
+154
16 Aug 2026, 17:34
9,248
+131
13 Aug 2026, 08:25
9,117
+119
10 Aug 2026, 08:51
8,998
-92
7 Aug 2026, 05:57
9,090
-20
6 Aug 2026, 12:45
9,110
no change
6 Aug 2026, 12:38
9,110
first reading
Engagement
45 posts held, back to 2 February 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 36 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.9%
avg views ÷ 10,072 subscribers
Avg views / post
3,620
25 posts measured
Reaction rate
2.06%
reactions ÷ views · ER floor
Posts in window
25
of 45 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 28 August 2026
Posts held
45 (2 February 2026 – 28 August 2026)
Views total
90,470
Reactions total
1,868
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 05:15 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
2m 33s
Average length
10s
Measured directly from 15 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
4,373 reactions across 45 posts, in 21 distinct kinds. The most used accounts for 49.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
2,163
49.5%
🔥
806
18.4%
👍
493
11.3%
💯
176
4.02%
❤
142
3.25%
🤝
95
2.17%
🥰
85
1.94%
🎉
75
1.72%
✍
62
1.42%
😍
42
0.96%
🕊
38
0.869%
⚡
33
0.755%
🏆
30
0.686%
😁
30
0.686%
🤗
29
0.663%
🤩
29
0.663%
👏
20
0.457%
🍾
10
0.229%
👌
9
0.206%
🙏
3
0.069%
1 further kind
3
0.069%
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 45 of the 45 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 4,373 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 2 February 2026 to 28 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
6.67%
3 of 45 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
3,090
over 3 measured posts
Median views · rest
4,490
over 42 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
erid
Posts
First seen
Last seen
2VtzqvMWtu9
1
25 August 2026
25 August 2026
2Vtzqx9frvo
1
24 August 2026
24 August 2026
LjN8KCrTn
1
24 August 2026
24 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 45 most recent posts we hold, published 2 February 2026 to 28 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.
Путь к большой науке героя новой Вдохновляющей истории успеха, начинался совсем не там, где можно ожидать.
Шугуан Чжан родился в 1953 году в Китае. Когда мальчику было четыре года, отец попал в трудовой лагерь за то, что не согласился стучать стать крысой. Он отказался писать ложный доклад на коллегу. 🐀
Впоследствии семью разделили еще сильнее. Мать тоже отправили на перевоспитание. Ко всему прочему, вскоре началас…
Почему мало денег? Как наладить отношения? Как перестать страдать?💔
Больше не нужно страдать и искать ответы на свои вопросы.
На них помогут ответить в Психоаналитическом клубе "Правда".
В жизни некоторых деятелей науки бывает так, что они предвосхищают события и своим видением опережают время, в котором живут. Таких примеров масса.
Изобретения этих людей могут долго быть невостребованными и годами лежать на полке. Однако, однажды их время приходит! ⏳
Именно такой случай произошел со следующим героем новой «Вдохновляющей истории успеха».
Встречайте китайского биолога – Шугуана Чжана. Он обнаружил …
Я гинеколог-хирург Тарасенко Светлана Анатольевна, врач высшей категории. Более 20 лет я выполняю гинекологические операции.
Самые частые проблемы моих пациенток: миома матки, киста яичника, эндометриоз, стрессовое недержание мочи, выпадение органов малого таза.
О том, как я меняю жизнь своих пациентов на 180°, пишу в моем телеграм-канале https://t.me/tarasenkosginekolog
Здесь я делюсь актуальной информацией о жен…
Вчера я напомнил про постоянную рубрику «Вдохновляющие истории успеха», однако в ней уже давненько не было новых героев.
И сейчас, хочу сделать обзорную историю про героя из науки. Причем, выбрать такого человека, изобретение которого принесло не только успехи в научной среде, но и стало коммерчески успешным. 💼
Но, как обычно, не все так просто и перипетии на его пути ожидают серьезные…
Читать новую историю ⬇️
Вс…
⚡️Будь в курсе главных новостей
Каналы регионов России в мессенджере MAX — подпишись и читай новости своего города.
⏺Рекламный отдел: @manager_pr_SMH
• Архангельск
• Барнаул
• Владивосток
• Волгоград
• Воронеж
• Екатеринбург
• Иркутск
• Казань
• Кемерово
• Краснодар
• Красноярск
• Курган
• Москва
• Мурманск
• Нижний Новгород
• Новосибирск
• Омск
• Оренбург
• Пермь
• Ростов-на-Дону
• Рязань
• Санкт-Петербург
• Сама…
Между тем, хочу напомнить, что в прошлом году на моем канале вышли крутые объемные материалы в рубрике «Вдохновляющие истории успеха». Всего их больше, но рекомендую с этими ознакомиться в первую очередь.
❗️Эти волнующие истории из реального опыта людей, вы больше нигде не найдете❗️
💎 Мальчик обуздавший ветер
💎 Гений без лица
💎 Пастор чудотворец
💎 Королева лыжни
Все рассказы рубрики «Вдохновляющие истории успех…
У вас (1) непрочитанное сообщение от подсознания!
«Программа на достижение цели успешно запущена. Ожидайте реализации!»
Так работает гипнопрограммирование 👆🏼
Вы напрямую посылаете сигнал своему подсознанию. А оно влияет на ваше сознание, ваши чувства и действия. Так уходит тревога и страх, появляется уверенность и притягиваются новые возможности 🌟
Проверьте на себе прямо сейчас!
Лучшие техники самогипноза я собра…
Хотите, чтобы ваш ребёнок любил учиться, читать книги и познавать мир в своё удовольствие, при этом не теряя мотивацию?
Тогда переходите на канал "Домашнее обучение с Ксенией Никифоровой" – преподавателя с 25-летним опытом, многодетной мамы и основательницы школы для мам, которые хотят учить своих детей дома, но не знают, как делать это правильно.
Вот несколько постов, с которых можно начать знакомство с каналом:
▫…
👍9🔥8❤7✍5🤝4🤩1
Showing the 12 most recent of 45 posts we hold for @fronesis_pro. 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.
Posts edited after publishing
@fronesis_pro edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
29 August 2026
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 3 registered channels — 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“Фронезис – Психология Мудрых” (@fronesis_pro), 10,072 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/fronesis_pro.
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.