Научный взгляд на привычное.
Обратная связь (там человек):
@ask_kamenschiki_bot
Консультации по силе воли:
@yakutenko_consult_bot
Рекламные предложения:
@Blossom_Agency_Tg
Номер канала в реестре РКН: https://gosuslugi.ru/snet/67a9b64770de7b4d761b4ced
Created
26 November 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 19 August 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
61 measurements spanning 95 days, net +748. 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 55,814–56,810 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
8 Nov 2026, 16:47
56,695
+10
7 Nov 2026, 08:17
56,685
-1
6 Nov 2026, 10:58
56,686
-5
4 Nov 2026, 05:07
56,691
+24
3 Nov 2026, 06:36
56,667
+43
2 Nov 2026, 04:08
56,624
+19
1 Nov 2026, 07:05
56,605
+24
31 Oct 2026, 09:27
56,581
+57
30 Oct 2026, 12:44
56,524
+65
29 Oct 2026, 15:48
56,459
-9
28 Oct 2026, 18:19
56,468
-2
27 Oct 2026, 17:10
56,470
-21
26 Oct 2026, 14:06
56,491
-3
25 Oct 2026, 13:16
56,494
-6
24 Oct 2026, 16:41
56,500
-15
23 Oct 2026, 15:17
56,515
+8
21 Oct 2026, 04:26
56,507
-3
20 Oct 2026, 00:16
56,510
-10
19 Oct 2026, 01:27
56,520
-6
18 Oct 2026, 04:41
56,526
first reading
Engagement
99 posts held, back to 8 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 190 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.4%
avg views ÷ 56,695 subscribers
Avg views / post
12,200
31 posts measured
Reaction rate
1.84%
reactions ÷ views · ER floor
Posts in window
31
of 99 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
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
99 (8 July 2026 – 6 November 2026)
Views total
376,690
Reactions total
6,915
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 23:06 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.
What this channel posts
Photos
≈331
Videos
≈5
Links
≈1,160
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
43s
Average length
43s
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.
Reaction mix
43,524 reactions across 97 posts, in 61 distinct kinds. The most used accounts for 18.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,225
18.9%
🔥
6,394
14.7%
🤬
5,789
13.3%
👎
4,708
10.8%
👍
4,594
10.6%
💩
2,922
6.71%
🤮
1,820
4.18%
😁
1,513
3.48%
😢
1,316
3.02%
😱
1,086
2.50%
🤡
680
1.56%
🤪
506
1.16%
❤🔥
465
1.07%
🤔
446
1.02%
🤯
329
0.756%
👏
322
0.74%
😭
301
0.692%
🥰
288
0.662%
💔
255
0.586%
👀
244
0.561%
41 further kinds
1,321
3.04%
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 98 of the 99 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 43,643 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 99 most recent posts we hold, published 8 July 2026 to 6 November 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.
Advertising
Ad load
3.03%
3 of 99 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
14,700
over 3 measured posts
Median views · rest
16,300
over 95 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwBEvPD
1
18 August 2026
18 August 2026
2W5zFGaCVbw
1
8 July 2026
8 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 99 most recent posts we hold, published 8 July 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 8 of 31 posts held from the last 30 days (25.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Продолжение поста про возможную причину смерти на марафоне в Нью-Йорке
Установить причину смерти помогут вскрытие и анализы. Опасные для жизни события на марафонах чаще всего вызываются проблемами с сердцем [9], поэтому судмедэксперты, в первую очередь, будут искать то, что вызвало его остановку: болезни сердечно-сосудистой системы, а также признаки теплового удара.
Еще одна возможная причина – падение в крови уровн…
1 ноября на Нью-Йоркском марафоне умерла 24-летняя Рейчел Апа, спортсменка, которая во время учебы в университете играла в хоккей на траве за команду первого дивизиона. Это был ее первый марафон, и на протяжении 15 км она чувствовала себя прекрасно. Но на 29 км Рейчел написала отцу «Ай» (Ow), еще через 1,5 км – Ow ow, а потом перестала отвечать. Примерно за 3,5 км до финиша в Центральном парке девушка упала. У нее не…
Один из комментаторов оставил к моему вчерашнему видео про простуды. И теперь все утро это у меня крутится в голове. Вот, делюсь с вами – чего я одна страдаю, в конце концов?
О-оо, моя оборона,
Несколько капелек интерферона.
Как это ни странно, но у нас снова среда, а это значит еженедельный стрим [1]. И сегодня поговорим о страшно модной штуковине – о пептидах.
Тем более, что повод вполне весомый: министр здравоохранения США Роберт Кеннеди-младший разрешил аптекам готовить пептиды, которые никогда не проходили проверку FDA: BPC-157, TB-500, эпиталон, Семакс, MOTS-c и KPV. Биохакеры ликуют. Любители пептидов обещают, что уколы лечат свя…
Окончание поста про то, что стало с математическими доказательствами от OpenAI
Пока математики разбирались с доказательствами, выложенными в начале октября, 26 числа OpenAI выкатила новую сенсацию: ее модель якобы опровергла гипотезу экспоненциального времени, ETH. Это одна из базовых гипотез теоретической информатики, ее в 1999 году сформулировали Рассел Импальяццо и Рамамохан Патури из Калифорнийского университета…
Продолжение поста про то, что стало с математическими доказательствами от OpenAI
Одна из громких историй – с нулями Зигеля, это задача из теории чисел, над которой математики бьются десятилетиями. Аргумент OpenAI независимо повторили математики Бэнкс, Керр и Грин, а Теренс Тао (один из самых известных математиков современности) пишет, что задача решена, хотя статьи еще «перевариваются» [9, 10].
Частично выполнена п…
Помните, три недели назад я писала [1], что OpenAI выкатили 722 математические рукописи с решениями нескольких сотен важных математических задач, сделанных их внутренней моделью? Что произошло с тех пор? Проверили ли люди решения ИИ, и, если да, то верны они или нет? (И если верны, то кто получит Филдсовскую медаль?)
Сначала пару слов про то, как такие вещи вообще проверяют. Способов два. Первый – программа Lean: до…
Ну что, у нас снова среда, а это значит еженедельный стрим [1]. И сегодня поговорим об актуальном – о простудах.
Почему мы все время простужаемся осенью и можно ли укрепить иммунитет? Разбираем главные мифы сезона простуд: можно ли заболеть от мокрых ног, переохлаждения или сквозняка и бывает ли на самом деле ослабленный иммунитет. Поговорим о том, какие вирусы вызывают простуду и ОРВИ, почему одни заражаются, а дру…
Утро начинается не с кофе.
Одна из главных привилегий моей работы – я могу ходить в зал в любое время. Сегодня вот утром, в другой день – в обед или вечером.
Принято считать, что так неправильно, и, чтобы тренировки стали привычкой, нужно ходить в одно и то же время. Экономисты из Гарварда и Уортона проверили [1] это на 2500 сотрудниках Google. Одним платили за каждый поход в зал в заранее выбранное двухчасовое окн…
Через час, в 18:30 по Берлину (20:30 мск), начинается первый семинар для спонсоров канала: какие методы реально помогают снизить зависимость от телефона. Еще можно успеть присоединиться: Patreon [1], YouTube [2]. Ссылку на трансляцию спонсоры получат в своих чатах.
Ссылки:
[1] - https://www.patreon.com/yakutenko
[2] - https://www.youtube.com/@irina_yakutenko/join
Showing the 12 most recent of 99 posts we hold for @kamenschiki. 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.
Posts edited after publishing
@kamenschiki edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
11 August 2026
Most recent edit
6 November 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 9 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 23 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
Мозг на полную @full_brains · 23,171 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 22 September 2026
Смотровая Военврача @dr_voenvrach · 45,367 Telegram ranks this channel #3 of 98 here — alongside 97 others — read 28 August 2026
Александр Панчин @ScienceInquisition · 49,157 Telegram ranks this channel #3 of 97 here — alongside 96 others — read 25 August 2026
АНЧА БАРАНОВА @anchabaranova · 35,896 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 2 September 2026
Вадим Савицкий [Когнитивный надзор] @cognitivniynadzor · 24,902 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 14 September 2026
Федиатрия @fediatrix · 53,905 Telegram ranks this channel #16 of 96 here — alongside 95 others — read 24 August 2026
Всё как у зверей / радио Тимонова @timonova · 20,470 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 27 September 2026
Заметки детского врача @DrButriy · 137,626 Telegram ranks this channel #21 of 95 here — alongside 94 others — read 13 August 2026
Проверено.Медиа @provereno_media · 34,694 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 3 September 2026
Кот Шрёдингера @kot_sh · 25,269 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 15 September 2026
Дубынин о мозге 🧠 @dubininvaofficial · 44,722 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 28 August 2026
Критическое мышление @ThinkCritical · 47,005 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 26 August 2026
(Не)занимательная антропология @anthro_fun · 74,893 Telegram ranks this channel #27 of 98 here — alongside 97 others — read 19 August 2026
Доктор Утин @doctorutin · 24,620 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 16 September 2026
Намочи манту @namochimanturu · 56,218 Telegram ranks this channel #29 of 95 here — alongside 94 others — read 23 August 2026
Страшная химия @chemistrybyolga · 33,702 Telegram ranks this channel #45 of 91 here — alongside 90 others — read 4 September 2026
Страдающее Средневековье @pophistory · 140,224 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 13 August 2026
Страдариум @stradarium1 · 36,410 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 3 September 2026
Людмила Петрановская @lpetranovskaya · 166,693 Telegram ranks this channel #53 of 92 here — alongside 91 others — read 12 August 2026
Hopkins English @hopkinsenglish · 32,869 Telegram ranks this channel #62 of 88 here — alongside 87 others — read 9 September 2026
АНТРОПОГЕНЕЗ.RU @antropogenez_ru · 36,593 Telegram ranks this channel #66 of 97 here — alongside 96 others — read 1 September 2026
baunovhaus @baunovhaus · 35,639 Telegram ranks this channel #70 of 94 here — alongside 93 others — read 1 September 2026
Армен и Фёдор @armenifedor · 41,805 Telegram ranks this channel #76 of 96 here — alongside 95 others — read 29 August 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,027 Telegram ranks this channel #78 of 94 here — alongside 93 others — read 1 September 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Якутенко, Ирина Игоревна(ru.wikipedia.org) “…/t.me/s/kamenschiki |url-status=live }} (посвящён событиям науки и околонауки) и «Мозг на полную»{{Cite web |url=https://t.me/s/full_brains…” read 1 November 2026
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Безвольные каменщики” (@kamenschiki), 56,695 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/kamenschiki.
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.