Telegram RegisterThe public register of Telegram

Channel

Quantum Physics

@physics3p

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

9,511subscribers

+9 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001249651640
TypeChannel
Username@physics3p
Descriptionارتباط با ادمین: @matinCl
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/physics3p

Growth

9,5029,5119,506.56 August 2026 — 9,502 subscribers6 August 2026 — 9,502 subscribers6 August 2026 — 9,504 subscribers9 August 2026 — 9,507 subscribers12 August 2026 — 9,511 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +9. 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 9,501–9,512 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:239,511+4
9 Aug 2026, 19:029,507+3
6 Aug 2026, 09:109,504+2
6 Aug 2026, 04:509,502no change
6 Aug 2026, 04:499,502first reading

Engagement

20 posts held, back to 7 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.8%
avg views ÷ 9,511 subscribers
Avg views / post
2,260
5 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 2 August 2026
Posts held20 (7 August 20252 August 2026)
Views total11,300
Reactions total115
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:06 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
666
Videos
235
Links
507

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

676 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 70.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
47670.4%
👍14721.7%
💯182.66%
👏111.63%
🔥91.33%
🤩60.888%
👎40.592%
🤔40.592%
😍10.148%

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 19 of the 20 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 676reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 7 August 2025 to 2 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
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @physics3p. 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 20 most recent posts we hold for this entry, published 7 August 2025 to 2 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

2 Aug 2026, 12:11 UTC≈1,630 views28 reactionsread 12 August 2026

🌀 نگاهی به اصل هولوگرافی در فیزیک نظری تصور کنید در یک اتاق نشسته‌اید، و تمام اتفاقاتی که در این اتاق می‌افتد (حرکت اشیاء، صداها، دما و حتی موقعیت شما در فضا) روی دیوارهای اتاق نوشته شده باشد. نه فقط خلاصه‌ای از آن‌ها، بلکه همه‌ی اطلاعات کامل و دقیق. اصل هولوگرافی می‌گوید: هر چیزی که در یک ناحیه از فضا رخ می‌دهد، می‌تواند به‌طور کامل روی مرز آن ناحیه، یعنی سطح اطرافش، ذخیره شود. اما چرا این ایده مطرح شد؟ ماجرا از

25👍3

Signed Matin Abri

24 Jul 2026, 15:28 UTC≈3,430 views43 reactionsread 12 August 2026

🏆 برندگان جایزه فیلدز ۲۰۲۶ کنگره بین‌المللی ریاضیدانان، امسال در فیلادلفیا، نام چهار ریاضیدان برتر جهان را به عنوان دریافت‌کنندگان مدال فیلدز معرفی کرد: · یو دنگ (Yu Deng) – دانشگاه شیکاگو · جان پاردون (John Pardon) – دانشگاه استونی بروک · هونگ وانگ (Hong Wang) – مؤسسه IHES و دانشگاه NYU · جیکوب تسیمرمن (Jacob Tsimerman) – دانشگاه تورنتو از میان این چهار نام، دو برنده کارهایی انجام داده‌اند که مستقیماً با فیزیک نظ

33👏6💯3👎1

Signed Matin Abri

23 Jul 2026, 13:03 UTC≈2,220 views9 reactionsread 12 August 2026
Photo

#درخواست_کتاب روشهای ریاضی مکانیک کلاسیک آرنولد برای فروش به آیدی زیر پیام دهید: @matinCl

👍9

Signed Matin Abri

23 Jul 2026, 12:59 UTC≈2,140 views14 reactionsread 12 August 2026

تعبیر چند جهانی در مکانیک کوانتومی داستان را با گربه معروف شرودینگر آغاز کنیم. به احتمال زیاد این آزمایش ذهنی را از بر هستید ولی بازهم یادآوری می‌کنم. درون جعبه‌ای یک شیشه حاوی سم وجود دارد که با احتمال ۵۰٪ شکسته و موجب مرگ گربه درون جعبه می‌شود و با احتمال ۵۰٪ گربه زنده می‌ماند. موضوع این است که تا پیش از باز کردن جعبه نمی‌توانیم از زنده یا مرده بودن گربه اطمینان حاصل کنیم. تنها می‌توان گفت گربه ممکن است با احتمال

9👍4💯1

Signed Matin Abri

23 Jul 2026, 12:58 UTC≈1,880 views21 reactionsread 12 August 2026

آنتروپی، اطلاعات و انرژی آنتروپی یک سیستم بر مبنای تعداد پیکربندی های مختلفی که سیستم می‌تواند به خود بگیرد تعریف می‌شود. هرچه تعداد این پیکربندی‌ها بیشتر باشد، آنتروپی سیستم بیشتر خواهد بود. به بیانی دیگر، با افزایش آنتروپی میزان بی اطلاعی ما از سیستم افزایش می‌یابد. اطلاعات نیز بر اساس تعداد پیکربندی های مختلفی که سیستم می‌تواند به خود بگیرد معرفی می‌شود اما در این حالت ما دقیقاً می‌دانیم که سیستم درکدامیک از حالت

16👏3💯2

Signed Matin Abri

12 Nov 2025, 16:49 UTC≈6,950 views69 reactionsread 12 August 2026

جرم و میدان الکترومغناطیسی یکی از ایده‌های الهام‌بخش فیزیک کلاسیک اواخر قرن نوزدهم، ارتباط جرم ذره‌های باردار با انرژی میدان الکترومغناطیسی اطرافشان بود. میدان مغناطیسی ذرات باردار متحرک، انرژی جنبشی دارد که متناسب با بار الکتریکی ذره است. این انرژی جنبشی، ناشی از میدان مغناطیسی ذره و نه جرم آن است. بنابراین اگر این انرژی جنبشی را با تعریف کلاسیک آن یعنی T=mv²/2 برابر قرار دهیم می‌توانیم جرم موثر مغناطیسی را بدست آو

52👍15💯2

Signed Matin Abri

28 Aug 2025, 14:13 UTC≈8,630 views50 reactionsread 12 August 2026
Photo

🔹 ثابت کیهان‌شناسی و انرژی تاریک وقتی انیشتین در سال ۱۹۱۵ معادلات نسبیت عام را نوشت، حاصل کارش جهانی منبسط شونده یا منقبض شونده (غیرایستا) بود. در آن زمان تصور می‌شد که کیهان همیشه ثابت و بدون تغییر است. بنابراین اینشتین تصمیم گرفت جمله‌ای به معادلات اضافه کند: ثابت کیهان‌شناسی. این ترم جدید باعث می‌شد جاذبه‌ی گرانشی ماده، با نوعی دافعه‌ی کیهانی متعادل شود و جهان حالت ایستای خود را حفظ کند. این عامل به فضا–زمان یک ا

41👍8💯1

Signed Matin Abri

26 Aug 2025, 18:56 UTC≈6,850 views33 reactionsread 12 August 2026

‍ فرار از ماده تاریک پدیده‌هایی که موجب معرفی ماده تاریک شد، می‌تواند به عنوان نارسایی های نسبیت عام نیز تلقی شود. شاید تفاوت پیش‌بینی‌های تئوری و مشاهدات تجربی در ناقص بودن توصیف ما از گرانش باشد و تصحیحاتی در تئوری بتواند مشکل را حل کند. به نظر این مسیر منطقی تر از معرفی ماده‌ای ناشناخته با ویژگی‌هایی عجیب باشد که اثرات گرانشی ایجاد می‌کنند. یکی از تلاش‌ها در این مسیر، نظریه‌ی گرانش اسکالر-تانسو-بردار جان موفات اس

👍2012💯1

Signed Matin Abri

25 Aug 2025, 16:15 UTC≈4,830 views45 reactionsread 12 August 2026
Photo

❓چرا نور در میدان گرانشی منحرف می‌شود؟ نور همواره در مسیر ژئودوزیک ها یعنی کوتاه ترین خط واصل دو نقطه، حرکت می‌کند. با توجه به اینکه جرم فضازمان را خمیده می‌کند بنابراین مسیر ژئودوزیک ها نیز خمیده خواهد شد و به همین علت مسیر نور دچار انحراف می‌شود. این موضوع می‌تواند اثباتی بر نسبیت عام و خمش فضازمان باشد. 🆔 @Physics3p

30👍14💯1

Signed Matin Abri

24 Aug 2025, 15:23 UTC≈4,870 views37 reactions1 Starread 12 August 2026

⚫️ ماده تاریک نخستین سرنخ‌ها از وجود جرمی ناشناخته در کیهان به دهه ۱۹۳۰ بازمی‌گردد. در آن زمان، اخترفیزیکدان سوئیسی آمریکایی فریتس تسوئیکی هنگام بررسی خوشه‌ی کهکشانی کُما به نکته‌ای شگفت‌انگیز پی برد: کهکشان‌های عضو این خوشه با سرعت بسیار بیشتری از آنچه با جرم مرئی‌شان سازگار بود حرکت می‌کردند. اگر تنها همان جرم قابل مشاهده حضور داشت، خوشه باید از هم می‌پاشید. تسوئیکی برای حل این تناقض، وجود جرم پنهان یا همان ماده ت

21👍14💯1😍1

Signed Matin Abri

22 Aug 2025, 15:19 UTC≈6,740 views38 reactionsread 12 August 2026
Photo

🌌 منظره‌های رنگی زیبایی که در فضای میان ستاره‌ای دیده می‌شود سحابی‌ها هستند. سحابی‌ها ابرهای عظیمی از گاز و غبارند که بیشتر از هیدروژن و هلیوم تشکیل شده‌اند و زادگاه ستارگان به شمار می‌آیند. نواحی سرخ و نارنجی ناشی از هیدروژن یونیده‌اند؛ ستاره‌های داغ اطراف، گاز هیدروژن را یونیزه می‌کنند و وقتی الکترون‌ها دوباره به هسته بازمی‌گردند، نور سرخ‌رنگی تابیده می‌شود. رنگ آبی، نتیجه پراکندگی نور در ذرات غبار میان‌ستاره‌ای ا

29👍5👏1💯1🔥1🤩1

Signed Matin Abri

Showing the 12 most recent of 20 posts we hold for @physics3p. 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 — 588,911 of 1,151,006entries 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

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 3 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Quantum Physics” (@physics3p), 9,511 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/physics3p.

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.