Channel
@agingmathwaterfall
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
445subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001691293651 |
|---|---|
| Type | Channel |
| Username | @agingmathwaterfall |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/agingmathwaterfall |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 14:17 | 445 | -1 |
| 6 Aug 2026, 20:47 | 446 | no change |
| 6 Aug 2026, 20:34 | 446 | first reading |
20 posts held, back to 20 January 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 30 July 2026 |
|---|---|
| Posts held | 20 (20 January 2026 – 30 July 2026) |
| Views total | 543 |
| Reactions total | 52 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:47 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.
287 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 164 | 57.1% | |
| 🔥 | 91 | 31.7% | |
| 👍 | 28 | 9.76% | |
| 🍌 | 2 | 0.697% | |
| 💩 | 2 | 0.697% |
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 287reactions 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 20 January 2026 to 30 July 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.
Добавьте к этому целенаправленные усилия по экспериментальной проверке механизма и на выходе получается, что нам нужен целый институт талантливых аспирантов и научных руководителей, въедливо систематизирующих все механизмы старения по их важности. Чтож в заключение добавлю, что наша количественная оценка смертоносности соматических мутаций на сегодняшний день является лучшей. Но не стоит обманываться, лучшая она лиш…
🔥15❤10
Чтож, пора и мне отреагировать на крайне неожиданный ажиотаж вокруг нашей новой статьи про соматические мутации и предел продолжительности жизни. Статья набрала уже 63к+ (см скриншот) accesses на сайте журнала за всего лишь месяц, была 67 раз ретвитнута, упомянута в некоторых известных изданиях: Daily Mail, Vice, Independent, - и даже репостнута титанами русского лонджевити: раз, два. Про наш основной результат я уж…
🔥20❤7
Photo, posted without a caption
🔥8
File, posted without a caption
❤3👍2
Институт Изучения Старения (6/6) - Сколько стоит шанс на продление жизни на 30 и более лет? Завершу я цикл этих постов скучной, но важной темой - сколько это все стоит? Считать деньги я не умею, поэтому я решил сделать простейшее и доступное каждому из вас упражнение. Я загрузил предыдущие 5 постов в Claude Opus Max Effort в режиме Deep Research и спросил его сколько стоит моя мечта, если бы она была реализована в Р…
❤10🔥6👍4
Photo, posted without a caption
❤7
Институт Изучения Старения (5/6) - Практический Блок: Геронтологический отдел. Очевидно, что, тестирование терапии против старения невозможно без площадки для такого тестирования. Как и любой крупный медицинский научный центр (напр. онкоцентр им. Блохина или кардиоцентр им. Чазова), полноценный Институт Изучения Старения должен обладать своей клиникой. Я не стану пытаться придумывать KPI для клиники или описывать сф…
❤8👍1
Photo, posted without a caption
🔥6❤4
4) Создание Большой Модели Здоровья (эту концепцию мы описывали тут), которая подобно языковым моделям, переваривает всю ретроспективную информацию о пациенте и создает что-то вроде цифрового двойника его здоровья. Ключевым является то, что если такую модель удастся натренировать очень точно предсказывать большинство заболеваний, то она (и это потрясающе!) может служить в качестве суррогатной конечной точки в клиниче…
❤6🔥2
Институт Изучения Старения (4/6) - Практический Блок: Вычислительный отдел. Можно спросить, а зачем делать два отдела, которые будут заниматься вычислениями? Здесь я хочу начать с принципиального разделения двух понятий: Aging research & Longevity Medicine (см. первую картинку). Первое описывает то чем занимается Теоретический блок - биологией старения. Второе - про медицину и практику. В публичном дискурсе эти поня…
🔥6❤3
Очевидно, что Экспериментальный отдел будет насыщен кадрами с самой разной экспертизой, он будет носителем уникальных экспериментальных техник и производить гигантское количество данных для обработки Теоретическим отделом. Который, в свою очередь, должен предлагать ему интересные гипотезы. Но главное, экспериментальный отдел должен будет регулярно выбирать лучшего кандидата на клиническое исследование и в этом его гл…
❤10🔥2
Институт Изучения Старения (3/6) - Теоретический Блок: Экспериментальный отдел. Не буду притворяться, что очень много знаю о том, как содержат животных в вивариях, выделяют клетки из образцов ткани, титруют, секвенируют и прочее. Однако, как теоретик, я понимаю над чем приходится размышлять по окончании испытания лекарства, которое предсказало продление жизни, и я попробую построить свое видение от этого, хотя безус…
❤8🔥2
Showing the 12 most recent of 20 posts we hold for @agingmathwaterfall. 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 — 350,042 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 2 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.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“ComputAgeChannel” (@agingmathwaterfall), 445 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/agingmathwaterfall.
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.