Дорогие подписчики, по техническим причинам стрима сегодня не будет. Скорее всего он перенесется на неделю, но я в любом случае сообщу.
💔129❤68🙏36🤔4🌭2

Channel
@kamenschiki
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cross-platform identity · Referenced elsewhere · Cite this entry
56,312subscribers
+365 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001399982350 |
|---|---|
| Type | Channel |
| Username | @kamenschiki |
| Description | 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) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/kamenschiki |
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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 06:00 | 56,312 | +38 |
| 15 Sept 2026, 22:39 | 56,274 | +43 |
| 14 Sept 2026, 04:37 | 56,231 | +21 |
| 12 Sept 2026, 11:20 | 56,210 | +62 |
| 10 Sept 2026, 09:02 | 56,148 | +53 |
| 7 Sept 2026, 00:41 | 56,095 | +16 |
| 4 Sept 2026, 10:18 | 56,079 | -10 |
| 2 Sept 2026, 23:36 | 56,089 | -10 |
| 1 Sept 2026, 21:39 | 56,099 | -20 |
| 31 Aug 2026, 23:16 | 56,119 | -1 |
| 30 Aug 2026, 20:56 | 56,120 | -9 |
| 30 Aug 2026, 00:17 | 56,129 | -2 |
| 29 Aug 2026, 00:34 | 56,131 | +22 |
| 28 Aug 2026, 03:53 | 56,109 | +10 |
| 27 Aug 2026, 05:36 | 56,099 | -1 |
| 26 Aug 2026, 08:04 | 56,100 | -4 |
| 25 Aug 2026, 04:46 | 56,104 | -11 |
| 24 Aug 2026, 00:37 | 56,115 | +20 |
| 22 Aug 2026, 08:54 | 56,095 | +166 |
| 21 Aug 2026, 00:17 | 55,929 | first reading |
56 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 99 pages of 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 23 September 2026 |
|---|---|
| Posts held | 56 (8 July 2026 – 23 September 2026) |
| Views total | 291,520 |
| Reactions total | 16,211 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 03:43 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.
Lifetime counters from Telegram’s own channel header, read 24 September 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.
32,484 reactions across 54 posts, in 58 distinct kinds. The most used accounts for 17.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤬 | 5,789 | 17.8% | |
| ❤ | 5,375 | 16.5% | |
| 👎 | 4,706 | 14.5% | |
| 🔥 | 3,186 | 9.81% | |
| 👍 | 3,063 | 9.43% | |
| 💩 | 2,922 | 9.00% | |
| 🤮 | 1,820 | 5.60% | |
| 😢 | 1,080 | 3.32% | |
| 😱 | 985 | 3.03% | |
| 🤡 | 680 | 2.09% | |
| 🤔 | 425 | 1.31% | |
| 🤯 | 328 | 1.01% | |
| ❤🔥 | 270 | 0.831% | |
| 💔 | 188 | 0.579% | |
| 🥰 | 188 | 0.579% | |
| 😭 | 184 | 0.566% | |
| 😁 | 180 | 0.554% | |
| 👀 | 169 | 0.52% | |
| 🐳 | 123 | 0.379% | |
| 💯 | 111 | 0.342% | |
| 38 further kinds | 712 | 2.19% |
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 55 of the 56 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 32,603 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 8 July 2026 to 23 September 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.
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.
| 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 56 most recent posts we hold, published 8 July 2026 to 23 September 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.
Дорогие подписчики, по техническим причинам стрима сегодня не будет. Скорее всего он перенесется на неделю, но я в любом случае сообщу.
💔129❤68🙏36🤔4🌭2
Разумеется, я не могла пропустить новости про открытие нового вида котиков [1]. Открыли его в Боливии, в так называемых облачных лесах – это леса на горных склонах, которые часто оказываются прямо внутри низких облаков (конечно же, немедленно туда захотелось). Новый котик живет в боливийском регионе Юнгас в департаменте Ла-Пас на восточных склонах Анд. Живут ли собратья котика где-нибудь еще, ученые пока не знают. Д…
🥰184🔥96❤🔥52💋7🤪6
Продолжение поста про связь вируса Эпштейна–Барр и рассеянного склероза И точно такую же картину мы видим в отношении других аутоиммунных болезней, например системной красной волчанки. Недавно у меня было видео [3], в котором я рассказывала, что вирус Эпштейна–Барр является триггером и для этого заболевания. И, как и в случае рассеянного склероза, похоже, что без заражения ВЭБ волчанка не развивается или развивается …
🔥198❤130🦄11🌭5💋5
Конечно же, все вы знаете про вирус Эпштейна–Барр – не в последнюю очередь благодаря его необычному названию (если что, он назван по именам открывших его ученых). Избежать заражения этим вирусом практически невозможно – ко взрослому возрасту им заражены 90-95% людей, – однако само по себе заболевание обычно проходит легко. Но вот ДНК вируса сохраняется внутри части B-клеток иммунной системы в виде отдельной кольцево…
🔥115❤80🤪9💋3🌚2
Во Франкфурте третья смерть от малярии. А общее число случаев заражения с конца августа выросло с шести до восьми. Два новых выявленных пациента живут в городе Шванхайм, это примерно в пяти километрах от аэропорта Франкфурта. Всего на сегодня выявлено восемь заболевших, которые, по всей видимости, получили малярию от комаров, прилетевших в Германию с каким-то самолетом из страны эндемичной по малярии. Но до сих пор …
👀91🤔79❤69💋5🤪3
Давно нужно было это сделать, но лучше поздно, чем никогда. Так что сегодня у нас будет стрим о грибах. Для многих грибы – это вкусная, хоть и немного странная еда, которая появляется в конце лета и осенью. На самом же деле грибы – абсолютно уникальные создания, мастера химического синтеза, серые кардиналы леса, без которых невозможна жизнь деревьев, Хладнокровные убийцы и телепаты, перехватывающие управление живыми…
👎520🤮514🤬478💩468👍211
За последнее время мы узнали сразу о нескольких случаях, когда ИИ напрямую нарушал запреты человека и выполнял противоправные действия. Главы двух крупнейших компаний-разработчиков призвали (кого? себя?) замедлить разработки нейросетей, чтобы избежать катастрофы. И в целом кажется, что их страхи не беспочвенны. Более того, подобное развитие технологий было предсказано еще в середине прошлого века. В сегодняшнем внео…
👎706🤬687❤146👍39🤔26
Между тем вскрылся [1] еще один случай, когда тестируемая ИИ-модель несанкционированно вышла в интернет и немножечко там покуролесила. Дело было так. Компания Anthropic тестировала раннюю версию Claude Opus 4.6 на учебном задании: модель должна была взломать вымышленный компьютер и найти спрятанную там секретную информацию, ее называют флаг. Модели сообщили, что это тест и доступа к интернету у нее нет. В действител…
🤔133❤83🤯56👍32😱23
Как и обещала, ссылка на сегодняшний стрим [1], в котором будем разбирать провальные результаты теста PISA, который проверяет базовые навыки пятнадцатилетних по чтению, математике и компетенциям в естественных науках. Обсудим как сами результаты, так и причины, которые приводят к тому, что результаты PISA стабильно падают с момента первого проведения теста. Встречаемся как обычно у меня на ютуб-канале в 18:30 по Бер…
💩530👎503❤65😱65🔥37
Вышли результаты теста PISA. Там все просто чудесно: катастрофический обвал во всех странах, кроме развитых стран Азии, продолжается. Европа продолжает падать. В Германии худший результат за всю историю – и это при том, что в 2022 году, когда выходили результаты предыдущего теста PISA, Германия тоже устанавливала этот рекорд. Хуже всех выглядит Северная Европа с ее знаменитой скандинавской системой образования, о ко…
🤬1,760😢261🔥100❤62👍38
Cегодня не среда, но зато есть новости, которые, как мне кажется, имеет смысл обсудить. А именно, я говорю сразу о двух случаях, о которых стало известно в последнее время, когда ИИ полностью вышел из-под контроля человека, выбрался в интернет и делал то, что ему было прямо запрещено. В ходе расследования этих инцидентов стало ясно, что ИИ пошел по пути роя, то есть демонстрирует структуру, характерную для коллективн…
❤123🔥100👍48😱43👀20
Продолжение поста про ошибки того, как часы определяют расход калорий Впрочем, это только предположения авторов, так как производители часов не раскрывают алгоритмы, которые они используют для пересчета собранных часами данных в расход калорий. В целом, надо сказать, что статья написана довольно неряшливо. Данные в тексте расходятся с тем, что есть в таблицах, некоторые утверждения противоречат друг другу и так дале…
❤113🔥66👏20💯14🤔10
Showing the 12 most recent of 56 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.
@kamenschiki edited 2 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.
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.
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.
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.
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 28 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.
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.
| Label | Irina Yakutenko |
|---|---|
| Description | Russian science journalist |
| YouTube | UCnbGR1mOt2ER3glUovq1C6w |
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Безвольные каменщики” (@kamenschiki), 56,312 subscribers as measured 18 September 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.