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Channel

Physics.Math.Code

@physics_lib

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

145,896subscribers

+80 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001360755573
TypeChannel
Username@physics_lib
Created9 April 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/physics_lib

Topic

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

145,803145,904145,853.56 August 2026 — 145,816 subscribers6 August 2026 — 145,819 subscribers7 August 2026 — 145,806 subscribers8 August 2026 — 145,803 subscribers9 August 2026 — 145,808 subscribers10 August 2026 — 145,824 subscribers11 August 2026 — 145,834 subscribers12 August 2026 — 145,853 subscribers13 August 2026 — 145,842 subscribers14 August 2026 — 145,849 subscribers16 August 2026 — 145,851 subscribers17 August 2026 — 145,864 subscribers18 August 2026 — 145,891 subscribers19 August 2026 — 145,894 subscribers20 August 2026 — 145,904 subscribers21 August 2026 — 145,882 subscribers22 August 2026 — 145,896 subscribers145,8966 August 202622 August 2026
17 measurements spanning 17 days, net +80. 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 145,788–145,919 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 20:27145,896+14
21 Aug 2026, 07:32145,882-22
20 Aug 2026, 10:18145,904+10
19 Aug 2026, 13:52145,894+3
18 Aug 2026, 13:48145,891+27
17 Aug 2026, 16:07145,864+13
16 Aug 2026, 06:36145,851+2
14 Aug 2026, 20:13145,849+7
13 Aug 2026, 13:27145,842-11
12 Aug 2026, 10:58145,853+19
11 Aug 2026, 11:39145,834+10
10 Aug 2026, 10:50145,824+16
9 Aug 2026, 09:51145,808+5
8 Aug 2026, 08:01145,803-3
7 Aug 2026, 10:33145,806-13
6 Aug 2026, 09:40145,819+3
6 Aug 2026, 07:31145,816first reading

Engagement

42 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.07%
avg views ÷ 145,896 subscribers
Avg views / post
13,200
42 posts measured
Reaction rate
0.507%
reactions ÷ views · ER floor
Posts in window
42
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
WindowRolling 30 days · latest post in window 21 August 2026
Posts held42 (26 July 202621 August 2026)
Views total556,080
Reactions total2,822
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 11:15 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

Video runtime
1h 33m
Average length
4m 14s

Measured directly from 22 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

2,676 reactions across 40 posts, in 28 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍97836.5%
71926.9%
🔥65224.4%
552.06%
🤯451.68%
❤‍🔥361.35%
🤩271.01%
260.972%
👨‍💻130.486%
👾130.486%
😱130.486%
🤔120.448%
🤨110.411%
💯90.336%
🗿90.336%
😍90.336%
🙈90.336%
🤓90.336%
🆒60.224%
👏60.224%
8 further kinds190.71%

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 2,822reactions 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 26 July 2026 to 21 August 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
4
across the posts below
Posts paid on
2
of 42 we hold a reading for · 5%
Most on one post
3
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 42 most recent posts we hold for this entry, published 26 July 2026 to 21 August 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.

Recent posts

21 Aug 2026, 10:28 UTC≈5,880 views84 reactionsread 22 August 2026
Video

💧 Батавские слёзки или капли принца Руперта (англ. Prince Rupert's drops) — застывшие капли закалённого стекла, обладающие чрезвычайно высокими внутренними механическими напряжениями. Скорее всего, подобные стеклянные капли были известны стеклодувам с незапамятных времён, однако внимание учёных они привлекли в середине XVII века. Если капнуть расплавленным стеклом в холодную воду и стекло после этого не лопнет, а на

👍42🔥26133

20 Aug 2026, 08:48 UTC≈6,750 views52 reactionsread 22 August 2026
Video

⚙️О чистой гироскопической устойчивости: почему гироскоп может катиться по нитке 💤 В отличие от моноцикла, где устойчивость — это комбинация геометрии и гироскопии, система, где по тонкой опоре (например, нитке) катится маховик с массивным ободом, демонстрирует гироскопическую стабилизацию в чистом виде. Это наглядная иллюстрация фундаментальных законов механики. ▪️ 1. Доминирующий физический механизм: гироскопичес

👍3110🔥81👾1😱1

19 Aug 2026, 20:48 UTC≈7,510 views40 reactionsread 22 August 2026
Video

⚙️ Помните этот пост на канале? Наверняка, у многих возникли вопросы, которые они постеснялись задать в комментариях. Поэтому сегодня мы поговорим о том, почему такие конструкции НЕ работают в реальной жизни. Разумеется, база рассуждений будет физика. Причем нам нам поможет элементарная физика. В последнее время в сети снова всплыли видео с «революционными» вечными двигателями. Устройство обычно такое: тяжелый махови

👍228🔥6🤯3👾1

18 Aug 2026, 15:21 UTC≈9,480 views49 reactionsread 22 August 2026
Video

⚡️Задача для наших физиков Предлагаю вам без помощи интернета ответить на следующие вопросы и порассуждать о физике процесса: ▪️Какой основной физический процесс мы наблюдаем на видео? ▪️Какую ошибку совершили экспериментаторы в данных опытах? Что пошло не так? ▪️Что именно нужно было изменить в экспериментальной установке, чтобы она начала работать как необходимо? #видеоуроки #physics #физика #опыты #электродин

🔥20👍127🤩43🥰1😍1😢1

18 Aug 2026, 04:09 UTC≈9,730 views33 reactionsread 22 August 2026
File

📕 Problems on Algorithms (Second Edition) [2002] Ian Parberry, William Gasarch Автор последовательно проведет вас через все ключевые темы стандартного курса по алгоритмам: 1. Математический фундамент: Главы посвящены математической индукции, O- и Ω-нотациям, рекуррентным соотношениям. Здесь много задач на доказательства и работу с формулами. 2. Базовые навыки: Отдельные блоки посвящены доказательству корректности (ч

🔥17👍104👨‍💻1🤩1

18 Aug 2026, 04:09 UTC≈9,260 views32 reactionsread 22 August 2026
Photo

📕 Problems on Algorithms (Second Edition) [2002] Ian Parberry, William Gasarch 📕 Задачи по алгоритмам [2002] Иэн Парберри, Уильям Газарч 💾 Скачать книгу Это не классический учебник, а задачник — сборник упражнений по разработке и анализу алгоритмов. Problems on Algorithms занимает уникальную нишу в литературе по Computer Science. В то время как стандартные учебники страдают от нерелевантных или слишком простых зад

13👍12🔥4🤩2🆒1

18 Aug 2026, 03:59 UTC≈9,040 views74 reactionsread 22 August 2026
Video

👩‍💻 Видео курс Алгоритмы и структуры данных 👩‍💻 ▪️ Урок 1 Введение ▪️ Урок 2 Динамический массив Stack_Queue и Set ▪️ Урок 3 Алгоритмы сортировки ▪️ Урок 4 Хеш таблицы Деверья ▪️ Урок 5 Бинарное дерево поиска. АВЛ-дерево. ▪️ Урок 6 Графы. Часть 1. ▪️ Урок 7 Графы. Часть 2. ▪️ Урок 8 Графы. Часть 3. ▪️ Урок 9 Динамическое программирование ▪️ Урок 10 Задачи Практикум #алгоритмы #видеоуроки #программирование #структур

27👍22🔥10👨‍💻5😍3🆒32🤩2

16 Aug 2026, 16:50 UTC≈11,200 views66 reactionsread 22 August 2026
Video

⚡️ С чего начать моделирование электрических полей? Задумывались ли вы, как «увидеть» невидимое? Электрическое поле окружает нас повсюду, от розетки до экрана смартфона. Давайте разберемся, как смоделировать его для точечных зарядов и сложных поверхностей и получить эти завораживающие картинки силовых линий и эквипотенциалей. 1. Фундамент: Главные Уравнения ▪️ Закон Кулона для точечного заряда: F = k * (q₁ * q₂) /

30👍22🔥121😢1

15 Aug 2026, 17:14 UTC≈12,300 views108 reactionsread 22 August 2026
Video

📝 Быстрее, чем g: знаменитая школьная физическая головоломка Доска на шарнире и шарик одновременно отпускаются. Шарик ускоряется в свободном падении, но край доски достигает нижней точки намного раньше, так что прикреплённый к нему стакан успевает поймать шарик. Как же край доски может иметь ускорение, превышающее ускорение свободного падения g? Эта классическая демонстрация помогает развить интуитивное понимание с

🔥56👍3012😱4🌚2🤔2🤯2

15 Aug 2026, 16:57 UTC≈10,600 views101 reactionsread 22 August 2026
Video

🔻 Солнечная система: механика и танцы планет Многие думают, что планеты просто летают по кругу вокруг Солнца. На самом деле наша система — это сложнейший гравитационный балет, где каждый шаг подчиняется эфемерным колебаниям. Вот несколько фактов, которые взорвут вашу картину мира. 🔭 1. Орбиты — это не эллипсы, а «цветочки» Если смотреть из центра масс (барицентра) Солнечной системы, который не совпадает с центром

👍4726🔥21👾2🤩2🙈2👨‍💻1

13 Aug 2026, 18:12 UTC≈14,300 views137 reactions3 Starsread 20 August 2026
Video

🔹 Ряд Фурье: музыка сфер и сжатие пикселей Представьте, что вам нужно собрать сложнейший узор из простейших деталей конструктора. Именно эту задачу — разложить любую, даже самую капризную функцию, на сумму простых синусов и косинусов — и решил в начале XIX века французский гений Жан-Батист Жозеф Фурье. Но путь его открытия был тернист и сложен. История началась не с Фурье. Задолго до него, в середине XVIII века, вел

🔥65👍33305🤩2❤‍🔥1🌚1

13 Aug 2026, 17:21 UTC≈9,830 views40 reactionsread 19 August 2026
Video

🔄 Тороидальные вихри: кольца, которые правят миром — от дыма до термояда 🔸 Один из самых элегантных объектов в в гидро- и аэродинамике — ториях, или тороидальных вихрях. Эти структуры являются удивительными, в них математика, физика и инженерная мысль встречаются в идеальной гармонии. Тороидальный вихрь — это вихревое кольцо, где вихревость сконцентрирована вдоль тороидальной оси. Проще говоря, это «бублик» из вра

🔥1811👍7🤯2🤩1😱1

Showing the 12 most recent of 42 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 138,299 of 1,583,249entries 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.

Forward network

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 25 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.

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.

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.

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Непрерывное математическое образование
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Репетитор IT men
@mentor_it · 14,206
#4
Математика не для всех
@mathematics_not_for_you · 10,920
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@datascienceiot · 42,492
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BZD • Книги для программистов
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Чёрный Треугольник
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Denis Sexy IT 🤖
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Эпсилон
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Типичный программист
@tproger · 78,711
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Грокаем C++
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@cppproglib · 16,875
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Техножрица 👩‍💻👩‍🏫👩‍🔧
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@exploitex · 2,063,697
#58
Анализ данных (Data analysis)
@data_analysis_ml · 50,487
#59
Винда для чайника
@the_winda · 6,065
#60
Сиолошная
@seeallochnaya · 77,781
#61
Рrоg | b
@prog_lib_eng · 2,674 (as read 13 August 2026)
#62
S.E.Book
@S_E_Book · 23,202
#63
Open Source
@open_source_friend · 51,983
#64
addmeto
@addmeto · 71,934
#65
Golang
@Golang_google · 40,290
#66
Минцифры России
@mintsifry · 236,936
#67
Rust
@rust_code · 8,724
#68
Утечки информации
@dataleak · 120,351
#69
SecurityLab.ru
@SecLabNews · 83,697
#70
ИБ Книга | Библиотека ИБ
@itbook_library · 15,839
#71
S.E.Reborn
@S_E_Reborn · 22,378
#72

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.

Советские учебники
@sovuche · 104,937
Telegram ranks this channel #6 of 94 here — alongside 93 others — read 21 August 2026
КЛУБ | ENGLISH GALAXY | АНГЛИЙСКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ
@englishgalaxy_school · 74,915
Telegram ranks this channel #41 of 83 here — alongside 82 others — read 19 August 2026
GitHub Community
@github · 152,669
Telegram ranks this channel #45 of 87 here — alongside 86 others — read 12 August 2026
Аудиокниги
@AUDIOKNIGI_CHANNEL · 256,778
Telegram ranks this channel #45 of 60 here — alongside 59 others — read 10 August 2026
NASA | Физика | Астрономия
@kosmos149 · 89,363
Telegram ranks this channel #54 of 65 here — alongside 64 others — read 17 August 2026
Однажды в трендах
@trendo · 68,975
Telegram ranks this channel #60 of 90 here — alongside 89 others — read 20 August 2026
Сила Книги | Аудиокниги | Flibusta
@silaknigi · 123,507
Telegram ranks this channel #61 of 86 here — alongside 85 others — read 13 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #65 of 84 here — alongside 83 others — read 13 August 2026
Бесплатное образование
@free_edu · 310,677
Telegram ranks this channel #67 of 95 here — alongside 94 others — read 10 August 2026
Python/ django
@pythonl · 58,935
Telegram ranks this channel #69 of 84 here — alongside 83 others — read 22 August 2026
Библиотека программиста
@proglibrary · 78,409
Telegram ranks this channel #71 of 82 here — alongside 81 others — read 19 August 2026
IT Portal
@IT_Portal · 101,184
Telegram ranks this channel #74 of 78 here — alongside 77 others — read 15 August 2026
Типичный программист
@tproger · 78,711
Telegram ranks this channel #75 of 95 here — alongside 94 others — read 19 August 2026
infosec
@it_secur · 61,139
Telegram ranks this channel #77 of 81 here — alongside 80 others — read 22 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 72,222
Telegram ranks this channel #78 of 94 here — alongside 93 others — read 20 August 2026
Хабр
@habr_com · 131,678
Telegram ranks this channel #78 of 92 here — alongside 91 others — read 13 August 2026
XOR
@xor_journal · 152,006
Telegram ranks this channel #78 of 93 here — alongside 92 others — read 12 August 2026
Machinelearning
@ai_machinelearning_big_data · 284,523
Telegram ranks this channel #78 of 95 here — alongside 94 others — read 10 August 2026
Social Engineering
@Social_engineering · 125,143
Telegram ranks this channel #82 of 82 here — alongside 81 others — read 13 August 2026
Чёрный Треугольник
@black_triangle_tg · 63,816
Telegram ranks this channel #86 of 87 here — alongside 86 others — read 21 August 2026
Data Secrets
@data_secrets · 92,304
Telegram ranks this channel #91 of 98 here — alongside 97 others — read 17 August 2026
Книжное братство
@flibusta · 163,910
Telegram ranks this channel #92 of 94 here — alongside 93 others — read 12 August 2026
Selectel
@Selectel · 63,648
Telegram ranks this channel #96 of 96 here — alongside 95 others — read 21 August 2026

This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Physics.Math.Code” (@physics_lib), 145,896 subscribers as measured 22 August 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.