Илья Колмановский: самые интересные новости науки и какое они имеют отношение к вам.
И слушайте подкаст Голый землекоп на всех площадках: https://pc.st/1505388337, а также на Яндекс.Музыке: https://music.yandex.ru/album/10330389
Created
11 February 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Politics & activism — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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 93 days, net -1,363. 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 83,968–85,742 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
7 Nov 2026, 07:44
84,173
-8
5 Nov 2026, 10:34
84,181
-7
4 Nov 2026, 07:31
84,188
+6
3 Nov 2026, 04:57
84,182
-2
2 Nov 2026, 06:48
84,184
+2
1 Nov 2026, 07:17
84,182
-3
31 Oct 2026, 04:57
84,185
+2
30 Oct 2026, 04:08
84,183
-8
29 Oct 2026, 06:31
84,191
-93
28 Oct 2026, 07:35
84,284
-19
27 Oct 2026, 06:20
84,303
-23
26 Oct 2026, 05:56
84,326
-16
25 Oct 2026, 04:00
84,342
-12
24 Oct 2026, 01:08
84,354
-10
23 Oct 2026, 03:11
84,364
-11
22 Oct 2026, 03:48
84,375
-9
20 Oct 2026, 20:48
84,384
-11
19 Oct 2026, 16:55
84,395
-7
18 Oct 2026, 17:57
84,402
+1
17 Oct 2026, 17:15
84,401
first reading
Engagement
42 posts held, back to 17 September 2025 — 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
20.2%
avg views ÷ 84,173 subscribers
Avg views / post
17,000
6 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
6
of 42 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 28 October 2026
Posts held
42 (17 September 2025 – 28 October 2026)
Views total
101,900
Reactions total
1,658
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 06:53 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
706
Videos
85
Links
452
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4m 15s
Average length
1m 25s
Measured directly from 3 videos 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
41,284 reactions across 42 posts, in 8 distinct kinds. The most used accounts for 48.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19,942
48.3%
🔥
9,441
22.9%
👍
4,467
10.8%
😢
3,728
9.03%
😁
1,617
3.92%
😱
1,039
2.52%
🤩
584
1.41%
🎉
466
1.13%
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 42 of the 42 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 41,284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 17 September 2025 to 28 October 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
Telegram’s own ‘edited’ marker: 5 of 6 posts held from the last 30 days (83.3%) 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, начало выше 👆️️️️️️👆️️️️️️
Нобелевский лауреат Фриц Габер, учитель Гана, близкий друг Эйнштейна. Создатель химического оружия и удобрений.
Был вынужден увольнять евреев, и уволился сам: он всю дорогу нанимал людей исходя не из их расы, а из того, какую пользу они могут нести Германии.
Уехал в UK, но отношение коллег там было невыносимым: его справедливо считали военным преступником по результатам Перв…
Продолжение, начало выше 👆️️️️️️👆️️️️️️
Отто Ган - немецкий химик, противник нацизма и патриот Германии. Он первым добился распада ядра урана в своей берлинской лаборатории в 1938м году.
Получил нобелевскую премию через 3 мес после взрыва Хиросимы. Мне ужасно интересно, о чем говорили в нобелевском комитете в те дни - как они приняли это решение. В любом случае заслугу Лизы Мейтнер никто даже не вспомнил - и после …
продолжение, см начало выше 👆👆
В выпуске слишком много имен. Я с ними сроднился за последний год - пока читал их письма и дневники. Решил сделать небольшую галерею чтобы было проще слушать. Давайте начнем с тех, кто пришел в гости к Максу Планку промозглым вечером в среду, 15 ноября 1916го года. Включите вот это трио Бетховена - его играли Альберт Эйнштейн (скрипка), Макс Планк (рояль), Эрвин Планк - сын хозяина дом…
В этом выпуске рекордное количество нобелевских лауреатов. Питер Дебай, Макс Планк, Отто Ган, Вернер Гейзенберг — ни один из них не был нацистом. Все они хотели служить науке, делать открытия. А еще — чтобы немецкая наука оставалась на плаву. Ведь нацисты - не навсегда, верно? И главное: не нужно быть нацистом, для того чтобы любить Германию, и желать ей победы в войне — или уж точно не желать поражения.
Об этом рас…
А следующий выпуск уже доступен всем, кто нас поддерживает:
• на моем патреоне
• на ресурсах ЛибоЛибо+ (эппл или закрытый телеграм-канал)
В нем мы делаем следующий шаг, и знакомимся с еще более выдающимися учеными, которые тоже были вне политики (как они это понимали), очень любили чистую науку и свою родину — и уверенно делали шаг в еще более глубокую моральную пропасть.
Спасибо всем кто нас поддерживает
У нас вышел новый выпуск в нашем сезоне об ученых и диктатурах:
Человек дела
Константин Северинов, гены россиян и вопросы морали
Слушать тут на всех платформах
Слушать на YouTube
Мы продложаем путешествие вместе с нашими героями - по ландшафту их диктатур. Выпуск о придворной науке, как 500 лет назазд.
Сегодня на нашем пути встретится первый настоящий ученый, причем совершенно выдающийся — который открыто и увер…
Сегодня присудили Нобелевскую премию за открытие, о котором у нас был выпуск: оптогенетику
Нобелиаты придумали, как встроить в мозг систему, одолженную у водорослей, которая позволяет управлять нейронами при помощи луча света. Как мы управляем телевизором при помощи пульта управления. Это дало науке о мозге огромные возможности для изучения мозга: раз ты можешь управлять нейронами, ты можешь "спросить" у них, какую…
А для наших дорогих патронов уже вышел следующий эпизод - и он совсем о другом типе исследователя. В интервью с выдающимся биологом Константином Севериновым мы пытаемся исследовать, как может настоящий ученый находить общие интересы с диктатурой, и какие моральные дилеммы встают перед ним. В 2007 году Северинов вернулся в Россию из США, а в 2026-м — исследует генетические данные россиян на деньги Роснефти.
Этот выпу…
Сегодня в общий доступ вышел эпизод про необычных ученых, мы решили называть их "алхимики". Это такие оппорутнисты, у которых всегда есть простые и заманчивые решения, которые они предлагают государству - а государство очень их за это поддерживает.
Эп. 65 Алхимики | Яды, БАДы, фильтры Петрика и «Новичок»
Выясняется, что и в СССР и в современной России это совершенно особая порода засекреченных шарлатанов. И самое п…
... но только не думайте (см выше про новости из Стэнфорда), что я заинтересовался настоящей наукой! довольно о ней - и вернемся к лженауке, которой я мучаю вас в этом сезоне.
Для наших дорогих патронов вышел самый лженаучный эпизод сезона - про военных шарлатанов:
Эп 65. Алхимики: яды, БАДы, фильтры Петрика и «Новичок»
• звезда эпизода - легендарный акад Александров, бывший предс. комиссии РАН по борьбе с лженаук…
Вы находитесь здесь: беленький пунктир - это территория вашего мозга, остальное - мозг мыши
Ученые из Стэнфорда вырастили человеческий мини-мозг в в голове у (почти) безмозглых мышей. По шагам:
(1) берем кусочек кожи у Волонтера
(2) берем оттуда клетки
(3) перепрограммируем в состояние, которое было за 9 мес до рождения, когда клеткам всё равно кем стать
(4) программируем чтобы они теперь растили не Волонтера целик…
Showing the 12 most recent of 42 posts we hold for @kolm_zemlekop. 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
@kolm_zemlekop edited 1 post 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
1 October 2026
Most recent edit
1 October 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 8 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 29 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.
Funny Memes & Sarcasm @Funny_Memes_Sarcasm · 39,382 Telegram ranks this channel #31 of 44 here — alongside 43 others — read 29 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Голый землекоп” (@kolm_zemlekop), 84,173 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/kolm_zemlekop.
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.