Channel
@brain_eremina
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
1,559subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002081029137 |
|---|---|
| Type | Channel |
| Username | @brain_eremina |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/brain_eremina |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 04:51 | 1,559 | no change |
| 10 Aug 2026, 21:46 | 1,559 | first reading |
17 posts held, back to 6 March 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 6 August 2026 |
|---|---|
| Posts held | 17 (6 March 2026 – 6 August 2026) |
| Views total | 802 |
| Reactions total | 64 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 21:46 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.
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.
329 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 45.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 148 | 45.0% | |
| ❤ | 94 | 28.6% | |
| 😁 | 37 | 11.2% | |
| 💯 | 30 | 9.12% | |
| 👏 | 11 | 3.34% | |
| ❤🔥 | 8 | 2.43% | |
| 💔 | 1 | 0.304% |
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 15 of the 17 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 329reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 6 March 2026 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.
Да, действительно, люди с высоким серотонином обычно стоят выше по иерархической лестнице. Ведь этот нейромедиатор напрямую связан с социальным статусом: он снижает уровень тревожности и импульсивности, делая поведение уверенным и спокойным. Высокий серотонин избавляет от суетливости, выпрямляет осанку и транслирует окружающим авторитет. В то время как низкий серотонин запускает режим подчинения, страха и фонового …
😁13👏5❤4🔥3💯2
В саванне случился скандал века. Молодая львица без лишних церемоний запрыгнула на спину вожака и развалилась там, как на дорогом диване. Остальные львицы прайда тут же зашипели снизу: — Ты страх потеряла? Слезь с царя, кошачья твоя морда! Сейчас он тебе устроивит сеанс принудительной субординации! Вожак, вопреки прогнозам, лишь лениво зевнул и даже не пошевелился. Львица ответила: — Девочки, выдыхайте. Учите мат…
🔥17😁5❤2
Если вы хотите быть, как кот из предыдущего поста: спокойным, уверенным и постигшим дзен - у меня для вас посты про серотонин. Сначала притча про льва и львицу и про роль серотонина в социальной иерархии (ага, не знали этого, да?) Потом про нейробиологию серотонина в организме человека. А потом про кулинарную приправу шафран. Это будет самое интересное.
❤7🔥6
Дофамин — это собака: «Мячик?! Где?! Погнали! О, палка! О, белка! О, новый запах! Жизнь — невероятное приключение! Хочу! Дай! Ещё! Быстрее! Как же интересно жить!» Серотонин — это кот: «Я постиг высший уровень дзена. Этот мир мне абсолютно понятен. Вселенная пребывает в равновесии. Солнце греет. Суета бессмысленна. Меня всё устраивает». Или ещё более лаконично: Дофамин — это собака: «Ура! Что-то происходит!» Серото…
🔥54😁15❤12❤🔥4
Дорогие родители подростков! Вот здесь я писала, что происходит в мозге в пубертатный период, и почему любимый ребенок вдруг стал «весь такой ершистый»… …а сегодня хочу пригласить вас на бесплатный мастер-класс для родителей подростков "Раскрой скрытый талант ". Мастер-класс будет полезен родителям тех подростков, которые к 14–16 годам всё ещё не понимают, кем хотят быть. И все чаще отмахиваются: «Я не знаю», «Мне…
❤10🔥5
😁 Друзья, уже в эту пятницу, 29 мая в 16:00, состоится День открытых дверей магистерских программ Нейрокампуса! Приглашаем вас на День открытых дверей, где мы подробно вам расскажем и покажем то, как протекает научная жизнь студентов Нейрокампуса! Вас ждет: ⏩Экскурсия по ФГБУ “ФЦМН” ФМБА России; ⏩Выступления преподавателей курсов; ⏩Экскурсия по лабораториям и знакомство с текущими исследованиями; ⏩Знакомство с экоси…
❤5
(начало выше) Как работает ТМС? Над определённой областью головы размещают катушку, которая создаёт короткие магнитные импульсы. Эти импульсы проходят через кости черепа и вызывают очень слабые электрические токи в поверхностных слоях мозга. Сам мозг электрический орган - нейроны постоянно обмениваются электрическими сигналами, и ТМС как будто слегка «подталкивает» или, наоборот, «успокаивает» активность отдельных н…
🔥12👏4❤2❤🔥2
Можно ли «перенастроить» мозг? или Будем лечить депрессию магнитом у головы Представьте обычный магнит и рассыпанные на столе металлические скрепки: стоит провести магнитом рядом - и они начинают смещаться, выстраиваться, менять своё положение, хотя вы к ним даже не прикасались. Вот такую аналогию я использую, чтобы рассказать про транскраниальную магнитную стимуляцию мозга (ТМС). Здесь к голове прикладывается кат…
🔥5❤3
И еще два китайских слова, «мэй» и «чоу». Одно означает «красивый», а другое — «уродливый»
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Вот два китайских слова: «цин» и «джун». Одно означает «легкий», другое - «тяжелый».
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Правильный ответ: «буба» - округлая и слева, «кики» - колючая и справа. Ну что, угадали? Скорее всего, да, потому что 90% опрошенных из совершенно разных уголков земного шара считают именно так. Последние исследования этого эффекта показали, что даже дети в возрасте ~2,5 года (не умеющие читать) показывают аналогичные результаты. Вот такой интересный нейрологический феномен. Называется синестезия. Когда слова букв…
🔥12😁4❤2
Где «буба», а где «кики»?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 17 posts we hold for @brain_eremina. 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.
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
И еще два китайских слова, «мэй» и «чоу». Одно означает «красивый», а другое — «уродливый»
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Вот два китайских слова: «цин» и «джун». Одно означает «легкий», другое - «тяжелый».
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Где «буба», а где «кики»?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 6 March 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Мозг💡Принятие решений” (@brain_eremina), 1,559 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/brain_eremina.
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.