Channel
@potudinaonline
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
964subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001635839296 |
|---|---|
| Type | Channel |
| Username | @potudinaonline |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/potudinaonline |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 02:26 | 964 | -3 |
| 8 Aug 2026, 00:47 | 967 | no change |
| 7 Aug 2026, 18:39 | 967 | first reading |
5 posts held, back to 21 July 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 5 (21 July 2026 – 7 August 2026) |
| Views total | 1,443 |
| Reactions total | 115 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:47 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.
115 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 70.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 81 | 70.4% | |
| 💯 | 14 | 12.2% | |
| 🔥 | 10 | 8.70% | |
| ❤🔥 | 8 | 6.96% | |
| 🥰 | 1 | 0.87% | |
| 🫡 | 1 | 0.87% |
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 5 of the 5 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 21 July 2026 to 7 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.
Иногда я ловлю себя на мысли, что какое-то слово на русском звучит неестественно, даже немного чужеродно. Ну не могли люди взять и назвать towel полотенцем 👀 А потом вспоминаю, как мне приходится жонглировать тремя языками каждый день и успокаиваюсь. Делитесь, дамы и господа релоканты, было?
💯9❤8🔥2
Дорогие читатели, Напоминаем, что у нас работает дружественный волонтерский проект "Адриатика", где можно найти помощь по низкой цене (точно можем сказать, что такой больше ни у кого нет). Также у нас есть список стажёров - они не могут взять тяжёлые запросы, требующие специализации, но со всем остальным работают по цене чисто символической. Так что если вам или вашим близким нужна поддержка - мы будем рады вам по…
❤15
В ноябре 2025 года в Nature Communications были опубликованы результаты исследования, согласно которому мозг человека проходит через пять эпох, разделённых четырьмя переломными точками. Команда из Кембриджа проанализировала МРТ-снимки 3 802 человек в возрасте от 0 до 90 лет и с помощью машинного обучения и теории графов обнаружила поворотные моменты в 9, 32, 66 и 83 года. Но мозг — это не только возраст и структура…
❤19🫡1
В каждом веке есть свои богини, а Парфенон - один единственный. Edward Steichen, Айседора и Тереза Дункан в афинском Акрополе, 1921.
❤16🔥6
Задолжала вам текст про #отпускбезотпуска с прошлой недели. А ведь у меня получилось наконец услышать вживую одну из своих любимых групп “Florens + the Machine”. Как у большинства юных дев, в 20 меня не миновал период увлечения магическим реализмом в книгах, музыке и фильмах. Потом эта «идентичность» уменьшилась под влиянием профессиональных и родительских персон, но иногда... Иногда я выпускаю ее. И музыкальные фе…
❤23❤🔥8💯5🔥2🥰1
Showing the 5 most recent of 5 posts we hold for @potudinaonline. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
“Мария Потудина. Не формат” (@potudinaonline), 964 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/potudinaonline.
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.