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Channel
@physbadr
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,387subscribers
+2 since we began measuring on 16 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001242671628 |
|---|---|
| Type | Channel |
| Username | @physbadr |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/physbadr |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 09:36 | 4,387 | +2 |
| 16 Sept 2026, 05:22 | 4,385 | no change |
| 16 Sept 2026, 04:47 | 4,385 | first reading |
20 posts held, back to 6 August 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 1 page 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. It is computed over the 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 September 2026 |
|---|---|
| Posts held | 20 (6 August 2026 – 13 September 2026) |
| Views total | 3,424 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Sept 2026, 05:22 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.
Measured directly from 9 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.
79 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 41.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 41.8% | |
| 🥰 | 24 | 30.4% | |
| 👍 | 10 | 12.7% | |
| 👏 | 4 | 5.06% | |
| 😁 | 4 | 5.06% | |
| 🤝 | 2 | 2.53% | |
| ❤🔥 | 1 | 1.27% | |
| 🤩 | 1 | 1.27% |
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 79 reactions 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 6 August 2026 to 13 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.
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تهم المعلم والمعلمة 👇🏻
رسالة لكل معلم ومعلمة
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كتاب «الكهربية والمغناطيسية» للأستاذ الدكتور محمد بن علي آل عيسى مرجع جامعي عربي متكامل، يعرض موضوعات الكهرباء والمغناطيسية بتدرج علمي يجمع بين المفاهيم الفيزيائية والصياغة الرياضية والاشتقاقات والأمثلة والمسائل. ويتميز بشموله واحتوائه على ملاحق مهمة في الوحدات والرياضيات والمتجهات والمصطلحات، مما يجعله مناسبًا للدراسة ومرجعًا للطالب والمدرس على حد سواء. . 👇🏻pdf
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"كلما تعمّق المعلم في مادته العلمية، كان أقدر على تبسيطها وتيسيرها لطلابه". وتتوافق هذه الفكرة مع المعرفة البيداغوجية للمحتوى (PCK) عند لي شولمان، التي تعني امتلاك المعلم نوعًا من المعرفة يجمع بين جانبين أساسيين: 1- معرفة المادة علميًا: أن يفهم المعلم تخصصه ومحتواه بعمق. 2- معرفة كيفية تدريس المادة: أن يعرف كيف يحوّل هذا المحتوى إلى شرح وتمثيلات وأمثلة تناسب فهم الطلاب، ويتوقع مواطن الصعوبة والتصورات الخاطئة لديهم. …
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تحمل الصورة رمزية عميقة؛ إذ تبدو الرياضيات وكأنها تحاول شنق الفيزياء بحبل تجريدها الرياضي، بينما تحمل الفيزياء مقص نجاتها. وتمثل شفرتا المقص قوتَي الفيزياء: 1- الشفرة الأولى: المنهج التجريبي، ولا سيما طريقته الوصفية (النوعية)؛ فالفيزياء تستطيع كشف الظاهرة ووصف سلوكها وفهم كيف تحدث، من خلال الملاحظة وتجربة يسيرة وأدوات بسيطة، دون الحاجة إلى الرياضيات. 2- الشفرة الثانية: قدرة الفيزياء على الغوص في أعماق الرياضيات وامتل…
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لماذا تبدو الفيزياء صعبة؟ الصعوبة لا تتعلق بالذكاء وحده، بل بالطريقة الفريدة التي تتطلبها الفيزياء في التفكير؛ فهي تجمع بين الرياضيات، والمنطق، وفهم الواقع. أبرز نقاط الصعوبة: ١- تحدي الحدس الأول: تبدأ الفيزياء بنماذج مبسطة، لكن سرعان ما يُستبدل الفهم العادي بقوانين صارمة تشكك في حدسنا اليومي. ٢- طبيعة المادة التراكمية: تعلم الفيزياء عملية تدريجية؛ ففهم مفهوم واحد يتوقف عليه فهم الفصول القادمة، والقراءة وحدها لا …
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#الفيزياء_الطبية_الحيوية #الرنين الفيزياء تفسر الإحساس المخيف في الأماكن القديمة. --------- المهندس فيك تاندي شعر برعب ورأى ظلًا غامضًا في مختبره، فاكتشف مروحة تهوية تصدر صوتًا بتردد 18.98 هرتز - قريبًا من تردد رنين مقلة العين الطبيعي. في عام 2003م، أثبتت تجربة علمية على 750 شخصًا أن هذا التردد يسبب فعلًا شعورًا بالقلق والبرودة لدى 22٪ منهم.
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الفيزياء… طريق إلى نخبة الفكر حين تهتم بالفيزياء، فأنت لا تتعلّم مجموعةً من القوانين والمعادلات فحسب، بل تتعلّم كيف تقرأ العالم من حولك؛ من سقوط قطرة المطر إلى حركة الكواكب. تدرّبك الفيزياء على ألّا تكتفي بما تراه، وأن تسأل عمّا وراء الظواهر، وتبحث عن الدليل، ولهذا تمنحك طريقةً مختلفة في التفكير، لا مجرد معلومات تحفظها. وفي زمنٍ تُستنزف فيه عقول بالتفاصيل اليومية وثرثرة وسائل التواصل الاجتماعي، يصبح الاهتمام بالفيزي…
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كيف يفكر الفيزيائي؟ يفكر الفيزيائي بعقلٍ يجمع بين دهشة الطفل وفضوله، وتأمُّل الفيلسوف وعمق أسئلته؛ فلا يكتفي بمشاهدة الظاهرة، بل يغوص في أعماقها باحثًا عن القوانين الخفية التي تحكمها، ويستعين بالتجارب الذهنية وصولًا إلى بناء النظرية.
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Showing the 12 most recent of 20 posts we hold for @physbadr. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“مدرس فيزياء” (@physbadr), 4,387 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/physbadr.
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.