Channel
@docgusevav
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,295subscribers
+41 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002460319277 |
|---|---|
| Type | Channel |
| Username | @docgusevav |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 12 August 2026 |
| On Telegram | t.me/docgusevav |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 18:21 | 1,295 | +43 |
| 6 Aug 2026, 22:56 | 1,252 | -2 |
| 6 Aug 2026, 08:21 | 1,254 | no change |
| 6 Aug 2026, 03:17 | 1,254 | first reading |
12 posts held, back to 25 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 5 August 2026 |
|---|---|
| Posts held | 12 (25 July 2026 – 5 August 2026) |
| Views total | 3,453 |
| Reactions total | 195 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 08:21 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.
🤩Позиция "быть хорошим и удобным" разбивается о суровую реальность🤩 Дофаминовая система мозга реагирует не только на само удовольствие, но и на предвкушение новизны. Именно поэтому стабильно хорошее, но абсолютно предсказуемое быстро перестаёт замечаться и приедается. То же происходит в отношениях, где один из партнеров годами играет роль «хорошей девочки/мальчика». 🥺 Чаще, конечно встречаются "хорошие девочки" из…
#мемы 🐱
🟠Почему из метро вы выходите выжатым как лимон, хотя просто сидели и ничего не делали?🟠 〰️ Мы привыкли к тому, что усталость наступает от физической или умственной работы. Если вы просто сидите в вагоне метро или пассажиром в машине, казалось бы, откуда взяться утомлению? Вы же сидите, ничего особо не делаете, мозг почти не напрягается. 😪Но неизменно после поездки организм чувствует напряжение в глазах, желание при…
💚Так как не успел осветить все вопросы, связанные с нейроотличиями на эфире, выкладываю отдельный пост💚 🧠 Отпуск при СДВГ и РАС: действительно ли мы отдыхаем иначе? После эфира было много вопросов о нейроотличиях. Почему одному в поездке нужны постоянные впечатления, а другому — заранее известный маршрут? Почему можно мечтать о путешествии и уже через три дня хотеть домой? 😞 Любому человеку бывает тяжело от неопре…
🧠Что отпуск делает с мозгом? 🤩Главные выводы эфира Мы считаем, что работа - это стресс, а отпуск - его отсутствие. Но поездка тоже требует ресурсов: сборы, дорога, смена режима, незнакомая среда и десятки решений. Поэтому отпуск одновременно восстанавливает и перегружает. ✈️Почему после перелёта нет сил даже без джетлага? Перелёт начинается не в аэропорту, а за несколько дней до него: доделать работу, составить с…
#мемы 🤡
File, posted without a caption
Запись прямого эфира: 💃 Что отдых делает с мозгом? 💛 Поблагодарить при желании можно здесь #прямойэфир
Live stream finished (1 hour)
Пост для комментариев к эфиру "что отпуск делает с мозгом?"
Live stream started
💗 Что такое отдых и с чем его едят? 💗 😳 С точки зрения нейробиологии, состояние отдыха — это не пассивный режим, а активная работа дефолт-системы мозга. 🟡Эта сеть включается, когда вы не решаете задач, не планируете, не анализируете. 🟠Она обрабатывает воспоминания, связывает прошлое с настоящим, интегрирует пережитый опыт. 😳 И вот здесь кроется главный обман: в моменты «ничегонеделания» ваш мозг не выключается —…
Showing the 12 most recent of 12 posts we hold for @docgusevav. 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 — 328,827 of 1,169,250entries 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.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Верьте мне, я доктор” (@docgusevav), 1,295 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/docgusevav.
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.