Education — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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.
Growth
35 measurements spanning 51 days, net +896. 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 145,667–146,848 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 08:56
146,712
+130
17 Sept 2026, 09:02
146,582
+37
15 Sept 2026, 11:01
146,545
+27
13 Sept 2026, 20:39
146,518
+11
12 Sept 2026, 05:59
146,507
+38
9 Sept 2026, 21:21
146,469
+100
6 Sept 2026, 15:00
146,369
+89
4 Sept 2026, 07:58
146,280
+100
2 Sept 2026, 19:52
146,180
+40
1 Sept 2026, 18:27
146,140
+25
31 Aug 2026, 21:13
146,115
+22
30 Aug 2026, 20:03
146,093
+15
29 Aug 2026, 16:56
146,078
+40
28 Aug 2026, 17:48
146,038
+31
27 Aug 2026, 15:45
146,007
+25
26 Aug 2026, 14:22
145,982
+22
25 Aug 2026, 13:27
145,960
+43
24 Aug 2026, 11:37
145,917
+21
22 Aug 2026, 20:27
145,896
+14
21 Aug 2026, 07:32
145,882
first reading
Engagement
93 posts held, back to 26 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 107 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.1%
avg views ÷ 146,712 subscribers
Avg views / post
14,700
42 posts measured
Reaction rate
0.423%
reactions ÷ views · ER floor
Posts in window
42
of 93 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 26 September 2026
Posts held
93 (26 July 2026 – 26 September 2026)
Views total
619,350
Reactions total
2,617
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 09:15 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
≈5,300
Videos
≈2,500
Links
≈4,870
Lifetime counters from Telegram’s own channel header, read 27 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.
Video runtime
4h 17m
Average length
6m 08s
Measured directly from 42 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
5,874 reactions across 91 posts, in 31 distinct kinds. The most used accounts for 36.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,130
36.3%
❤
1,593
27.1%
🔥
1,406
23.9%
🤯
90
1.53%
⚡
89
1.52%
🤩
82
1.40%
✍
69
1.17%
❤🔥
50
0.851%
🙈
48
0.817%
🤔
42
0.715%
😍
40
0.681%
🤝
32
0.545%
👨💻
28
0.477%
😱
26
0.443%
👾
24
0.409%
🗿
23
0.392%
🤓
17
0.289%
💯
14
0.238%
👏
11
0.187%
🤨
11
0.187%
11 further kinds
49
0.834%
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 93 of the 93 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 6,020 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 93 most recent posts we hold, published 26 July 2026 to 26 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
6
of 93 we hold a reading for · 6%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @physics_lib. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 93 most recent posts we hold for this entry, published 26 July 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
💡 Физика света / The Physics of Light [2014]
Серия фильмов из 6 частей исследует истинную природу света и пытается предугадать самые невероятные теории физики, начиная рассказ с истоков - с теории относительности Альберта Эйнштейна
01. Свет и время. Специальная теория относительности
02. Свет и пространство. Общая теория относительности
03. В погоне за светом
04. Свет и атомы
05. Свет и квантовая физика
06. Свет и …
🌈 Наглядно об изменении цвета предметов при погружении на глубину — обратите внимание на красный цвет, который пропадает быстрее всех. Опыт показывает, что глубоководным рыбам выгодно иметь красную окраску, ведь так они будут казаться менее заметными для хищников и добычи. Удивительная адаптация и естественный камуфляж. По той же причине самые глубоководные водоросли выглядят красными: они не приспособлены поглощать…
🥺 Plasma Vortex in a Magnetic Field ⚡️
Видео демонстрирует классический и очень наглядный физический эксперимент: взаимодействие плазмы (ионизированного газа) с магнитным полем. Используется высоковольтный генератор на основе flyback-трансформатора с ZVS-драйвером (Zero Voltage Switching), который создает плазменный разряд напряжением около 20 000 вольт. Этот разряд сам по себе является электрической дугой, но при …
🌪 Однополостный гиперболоид — кривая поверхность держит небоскрёбы
Представьте поверхность, которая одновременно и кривая, и состоит из прямых. Звучит как парадокс, но именно так устроен однополостный гиперболоид — фигура, которая незаслуженно остаётся в тени своих более «раскрученных» родственников вроде сферы или параболоида. Математически всё просто. В декартовых координатах однополостный гиперболоид задаётся ура…
🧊 Интересный опыт: Лёд под проволокой
Что будет происходить с ледяным бруском, если на него будет действовать тонкая проволока, создавая большое давление?
Интересный факт: Температура плавления под давлением почти постоянна 0 ° C при давлениях выше тройной точки, равной 611,7 Па, когда вода может существовать только в твердой или жидкой фазах, при атмосферном давлении (100 кПа) примерно до 10 МПа. При повышении дав…
🔥 Сварка трением, иначе фрикционная сварка. Несколько патентов на эту тему было ещё в 20е годы в Великобритании, СССР и Веймарской республике. Первое детальное описание и эксперименты по промышленному применению: СССР 1956 год. С начала 60х метод широко внедряется в Европе СССР и США. В дальнейшем были разработано несколько методов фрикционной сварки. Применяется в автомобилестроении и авиации, что свидетельствует…
📚 Физика (Американский курс физики для средней школы) [1973-1974] Комитет содействия изучения физики при Массачусетском технологическом институте
Переводчик: Ахматов А.С.
Учебник разработан группой ведущих физиков-педагогов (Комитет содействия изучению физики при Массачусетском технологическом институте). В каждую часть включен перевод соответствующей части из методического руководства для преподавателей.
📕 Часть 1…
📚 Физика (Американский курс физики для средней школы) [1973-1974] Комитет содействия изучения физики при Массачусетском технологическом институте
Переводчик: Ахматов А.С.
💾 Скачать книги
Конечно, учебник не свободен от ряда недостатков и не пригоден для введения его в советской средней школе по его методологической основе, недостаточности используемого математического аппарата и многим другим признакам. Тем не мене…
👨🏻💻 Наши полезные каналы и чаты. Подпишитесь, контент интересный
🎥 Учебные фильмы — фильмы по физике, математике, программированию, технологиях, химии, биологии. Самые интересные видео для развития.
👾 Эпсилон — канал с книгами по информационной безопасности, IT технологиям, робототехнике и достижениям Computer Science. Говорим о gamedev, о нейросетях, о белом хакинге.
💡 Репетитор IT men — блог с заметками препо…
🥺 Интересный эксперимент с жидким кислородом. На видео видно, что кислородом застревает в магните. Дело в том, что кислород — это парамагнетик. Это ключевое отличие от подавляющего большинства других газов и жидкостей, которые являются диамагнетиками. Молекула кислорода O₂ уникальна. Согласно теории, на её внешних орбиталях находятся два неспаренных электрона. У этих электронов есть магнитный момент (спин) и эти моме…
⚡️ Что будет если на электроды, между которыми проскакивает дуга (высокое напряжение) прикрутить мощные неодимовые магниты? Будет ли плазма реагировать? 🧲
Плазма дуги будет очень сильно реагировать на мощные неодимовые магниты. Дуга начнет двигаться, изгибаться и даже вращаться под действием магнитного поля. Плазма электрической дуги — это раскаленный ионизированный газ, состоящий из положительных ионов и отрицатель…
👩💻 Подборка полезных ссылок для изучения C++ 👨🏻💻
▪️ LearnCpp.com — это бесплатный веб-сайт, посвященный обучению вас программированию на C++. Независимо от того, был ли у вас какой-либо предыдущий опыт программирования или нет, учебные пособия на этом сайте помогут вам выполнить все шаги по написанию, компиляции и отладке ваших программ на C++, и все это с большим количеством примеров.
▪️ ravesli.com — Здесь пред…
👍29❤18🔥9🗿2😍2🫡1😘1
Showing the 12 most recent of 93 posts we hold for @physics_lib. 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.
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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 13 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.
Учебные фильмы 🎞 @maths_lib · 25,423 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 14 September 2026
Советские учебники @sovuche · 105,414 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 21 August 2026
Математика | Геометрия @algebra_shpargalki · 23,882 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 17 September 2026
Data Science @datascienceiot · 42,634 Telegram ranks this channel #24 of 76 here — alongside 75 others — read 29 August 2026
Windows Community @wind_community · 41,313 Telegram ranks this channel #33 of 74 here — alongside 73 others — read 29 August 2026
КЛУБ | ENGLISH GALAXY | АНГЛИЙСКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ @englishgalaxy_school · 76,835 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 19 August 2026
BZD • Книги для программистов @bzd_channel · 36,402 Telegram ranks this channel #43 of 57 here — alongside 56 others — read 1 September 2026
Алексей Савватеев и Родная Школа @alexei_savvateev · 34,074 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 3 September 2026
Школа для электрика | Электротехника и электроэнергетика @electricalschool · 31,614 Telegram ranks this channel #45 of 77 here — alongside 76 others — read 5 September 2026
GitHub Community @github · 155,991 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 12 August 2026
Аудиокниги @AUDIOKNIGI_CHANNEL · 256,180 Telegram ranks this channel #45 of 60 here — alongside 59 others — read 10 August 2026
hahacker_news @hahacker_news · 25,571 Telegram ranks this channel #47 of 59 here — alongside 58 others — read 14 September 2026
Alek OS @Alek_OS · 32,888 Telegram ranks this channel #48 of 95 here — alongside 94 others — read 4 September 2026
Журнал «Код» @thecodemedia · 49,232 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 25 August 2026
Полка Разработчика @developer_shelf · 26,815 Telegram ranks this channel #52 of 63 here — alongside 62 others — read 11 September 2026
Python обучающий @pythonist24 · 55,872 Telegram ranks this channel #53 of 88 here — alongside 87 others — read 23 August 2026
NASA | Физика | Астрономия @kosmos149 · 87,819 Telegram ranks this channel #54 of 65 here — alongside 64 others — read 17 August 2026
Python Books. Книги по питону @pythonbooks · 38,517 Telegram ranks this channel #55 of 65 here — alongside 64 others — read 17 September 2026
Pythonist.ru - образование по питону @pythonist_ru · 24,046 Telegram ranks this channel #55 of 82 here — alongside 81 others — read 17 September 2026
Популярная механика ⚙️ @Popmeh · 30,780 Telegram ranks this channel #56 of 88 here — alongside 87 others — read 8 September 2026
Python Academy @python_academy · 44,284 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 28 August 2026
Stepik – онлайн-курсы @stepik_courses · 24,454 Telegram ranks this channel #60 of 93 here — alongside 92 others — read 16 September 2026
NOP::Nuances of Programming @nuancesprog · 56,542 Telegram ranks this channel #60 of 84 here — alongside 83 others — read 23 August 2026
Однажды в трендах @trendo · 67,788 Telegram ranks this channel #60 of 90 here — alongside 89 others — read 20 August 2026
This channel appears in 69 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.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Physics.Math.Code” (@physics_lib), 146,712 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/physics_lib.
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.