Telegram RegisterThe public register of Telegram

Channel

NeuroMetric

@NeuroMetric

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

1,738subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001583447554
TypeChannel
Username@NeuroMetric
Created5 June 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/NeuroMetric

Growth

1,7351,7381,736.57 August 2026 — 1,736 subscribers7 August 2026 — 1,736 subscribers7 August 2026 — 1,735 subscribers10 August 2026 — 1,736 subscribers13 August 2026 — 1,738 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net +2. 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 1,735–1,738 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:231,738+2
10 Aug 2026, 07:101,736+1
7 Aug 2026, 16:331,735-1
7 Aug 2026, 15:481,736no change
7 Aug 2026, 12:381,736first reading

Engagement

20 posts held, back to 14 July 2026the 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
36.8%
avg views ÷ 1,738 subscribers
Avg views / post
639
19 posts measured
Reaction rate
1.33%
reactions ÷ views · ER floor
Posts in window
19
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 5 August 2026
Posts held20 (14 July 20265 August 2026)
Views total12,142
Reactions total161
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:48 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.

Reaction mix

169 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 70.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11970.4%
👍3118.3%
🤔1911.2%

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 169reactions 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 14 July 2026 to 5 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

5 Aug 2026, 08:10 UTC289 views8 reactionsread 7 August 2026
File

File, posted without a caption

4👍3🤔1

5 Aug 2026, 08:09 UTC242 views9 reactionsread 7 August 2026

Информация для тех, кто занимается моделированием для изучения болезней Альцгеймера и Паркинсона, ну и эпилепсии 1. Новый научный open-access журнал Brain Network Disorders https://www.sciencedirect.com/journal/brain-network-disorders ❗️До 31 декабря 2028 года публикация статей бесплатна. 2. Свежая обзорная статья по вычислительному моделированию нейродегенеративных заболеваний: H. Shaheen, R. Melnik, Brain netw

5👍3🤔1

3 Aug 2026, 09:26 UTC340 views12 reactionsread 7 August 2026

ИИ-инструменты, рекомендуемые ВШЭ, для помощи в исследовательской работе, подготовке статей и преподавании: https://academics.hse.ru/awc/AITools Методичка "Написание статей по ИИ в эпоху больших языковых моделей" (2025) от AIRI: https://airi.net/upload/ai-writing-in-the-llm-era.pdf Вместо слова "написание" тут уместнее "редактируемая генерация". 😎 Уже давно очевидно то, как в AIRI пишут статьи, а тут сами признаютс

🤔84

3 Aug 2026, 07:49 UTC318 views3 reactionsread 7 August 2026
Photo

Всероссийская научно-практическая конференция "Цифровизация: теория и практика" (19–20 ноября 2026, Иркутск) https://digit.bgu.ru/ Тематические секции: 1. Математическое моделирование, численные методы и комплексы программ 2. Системный анализ, управление и обработка информации, статистика 3. Искусственный интеллект, машинное обучение и анализ больших данных Дедлайн подачи тезисов и регистрации: 30 сентября 2026 С

3

31 Jul 2026, 08:15 UTC394 views8 reactionsread 7 August 2026

Обзорная статья "Простые правила для простых моделей" A. Messe, C.C. Hilgetag, M.T. Hutt, Simple rules for simple models, Phys. Life Rev. 55, 217–228 (2025). https://doi.org/10.1016/j.plrev.2025.10.006 Перевод аннотации: В мире, где доминируют крупномасштабные численные симуляции и приложения машинного обучения в биологии, медицине и нейронауке (и в изучении сложных систем в целом), стимулируемые доступностью "боль

5👍3

30 Jul 2026, 19:12 UTC≈2,890 views9 reactionsread 7 August 2026

Международные научные журналы о смерти Субъективно, таких журналов известно три, но один (причем самый интересный, см. ниже) давно прекратили печатать: 1. OMEGA - Journal of Death and Dying https://journals.sagepub.com/home/OME Междисциплинарный журнал об исследованиях процесса умирания от старости, неизлечимых заболеваний, несчастных случаев со смертельным исходом и т.п., а также о психологических аспектах при у

7🤔2

28 Jul 2026, 10:42 UTC450 views9 reactionsread 7 August 2026

Глава "Основы нейрофизики" P. beim Graben, Foundations of neurophysics, In: P. beim Graben et al. (Eds.), Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks (Springer, 2008). https://doi.org/10.1007/978-3-540-73159-7_1 Перевод аннотации: В этой главе представлен вводный курс по биофизике нейронов, включающий обсуждение ионных каналов, активных и пассивных мембран, потенциалов действия и

9

25 Jul 2026, 08:15 UTC557 views4 reactionsread 7 August 2026
Photo

Всероссийская научная молодежная школа-конференция "Химия, физика, биология: пути интеграции" (14–16 октября 2026, Москва) https://chemphysbioint-conf.ru/ Конференция организована Институтом химической физики им. Н.Н. Семенова РАН. Формат проведения конференции – очный и заочный. Участники, выбравшие заочный формат участия, публикуются в сборнике конференции без выступления. Есть секция "Фундаментальная и прикладн

4

25 Jul 2026, 07:57 UTC524 views3 reactionsread 7 August 2026

International Conference on Drones, Robotics and Autonomous Systems (8–10 December 2026, San Antonio, USA) https://emergingtechnet.org/DRAS2026/index.php Paper submission deadline: 10 September 2026

👍3

25 Jul 2026, 07:38 UTC476 views8 reactionsread 7 August 2026

Постдок по NeuroAI (Тулуза, Франция) We aim to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior (see details here). Our lab is part of the CerCo Institute as well as the Artificial and Natural Intelligence Toulouse Instit

5👍2🤔1

Showing the 12 most recent of 20 posts we hold for @NeuroMetric. 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 — 534,417 of 1,345,403entries 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

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

“NeuroMetric” (@NeuroMetric), 1,738 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/NeuroMetric.

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.