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Channel

فیزیک براتی یازدهم

@rnfjo

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

24,781subscribers

+10,248 since we began measuring on 18 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003262594281
TypeChannel
Username@rnfjo
Description💠استاد براتی مدرس فیزیک کنکور💠 🔥تدریس صفر تا صد فیزیک پایه و دوازدهم🔥 «۲۰ امتحان نهایی و کنکور» لینک چنل های پخش اول استاد براتی: 💎https://t.me/Nokwj 💎https://t.me/mirwp تبلیغات: @darsiadsbot
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 August 2026
Last confirmed live23 October 2026
Measurements held38
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/rnfjo

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

12,45124,78118,61618 August 2026 — 14,533 subscribers18 August 2026 — 14,496 subscribers19 August 2026 — 14,387 subscribers20 August 2026 — 14,287 subscribers21 August 2026 — 14,018 subscribers23 August 2026 — 13,604 subscribers24 August 2026 — 13,422 subscribers25 August 2026 — 13,343 subscribers26 August 2026 — 13,293 subscribers27 August 2026 — 13,213 subscribers28 August 2026 — 13,143 subscribers29 August 2026 — 13,075 subscribers30 August 2026 — 13,003 subscribers31 August 2026 — 12,939 subscribers1 September 2026 — 12,881 subscribers2 September 2026 — 12,821 subscribers3 September 2026 — 12,751 subscribers5 September 2026 — 12,630 subscribers9 September 2026 — 12,451 subscribers11 September 2026 — 13,941 subscribers13 September 2026 — 14,948 subscribers15 September 2026 — 15,762 subscribers16 September 2026 — 15,912 subscribers19 September 2026 — 15,640 subscribers25 September 2026 — 15,099 subscribers4 October 2026 — 14,401 subscribers8 October 2026 — 14,035 subscribers13 October 2026 — 16,558 subscribers14 October 2026 — 17,668 subscribers15 October 2026 — 18,521 subscribers16 October 2026 — 19,337 subscribers17 October 2026 — 20,431 subscribers18 October 2026 — 21,479 subscribers19 October 2026 — 22,175 subscribers20 October 2026 — 22,900 subscribers21 October 2026 — 23,882 subscribers23 October 2026 — 24,361 subscribers23 October 2026 — 24,781 subscribers18 August 202623 October 2026
38 measurements spanning 66 days, net +10,248. 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 10,602–26,631 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)SubscribersChange
23 Oct 2026, 21:1424,781+420
23 Oct 2026, 00:0624,361+479
21 Oct 2026, 22:2123,882+982
20 Oct 2026, 14:2622,900+725
19 Oct 2026, 13:0522,175+696
18 Oct 2026, 14:0821,479+1,048
17 Oct 2026, 12:0620,431+1,094
16 Oct 2026, 13:0719,337+816
15 Oct 2026, 11:3918,521+853
14 Oct 2026, 14:5917,668+1,110
13 Oct 2026, 01:3616,558+2,523
8 Oct 2026, 13:3814,035-366
4 Oct 2026, 04:1814,401-698
25 Sept 2026, 13:2115,099-541
19 Sept 2026, 02:0115,640-272
16 Sept 2026, 19:4115,912+150
15 Sept 2026, 01:0015,762+814
13 Sept 2026, 09:1914,948+1,007
11 Sept 2026, 15:5713,941+1,490
9 Sept 2026, 00:2112,451first reading

Engagement

30 posts held, back to 3 June 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 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.36%
avg views ÷ 24,781 subscribers
Avg views / post
337
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 30 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 23 October 2026
Posts held30 (3 June 2026 – 23 October 2026)
Views total3,036
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 17:24 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
68
Links
117

Lifetime counters from Telegram’s own channel header, read 24 October 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

9 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤888.9%
👎111.1%

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 10 of the 30 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 3 June 2026 to 23 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

23 Oct 2026, 14:18 UTC99 viewsread 24 October 2026
Photo

🆕پک کامل جزوات دروس تخصصی 1406🆕 🚩جزوه ریاضی معین کرمی🚩 ❄️جزوه دهم مبتدی | جزوه یازدهم مبتدی ❄️جزوه دوره مبتدی جامع ❄️جزوه دوره پیشرفته جامع ❄️جزوه انسانی جامع 🚩جزوه ریاضی آریان حیدری🚩 ❄️جزوه سالیانه جامع 🚩جزوه زیست حنیف عظیمی🚩 ❄️جزوه زیست پایه دهم ❄️جزوه زیست پایه یازدهم ❄️جزوه زیست پایه دوازدهم 🚩جزوه زیست فرزام فرهمندنیا🚩 ❄️جزوه زیست پایه دهم ❄️جزوه زیست پایه یازدهم ❄️جزوه زیست پایه دوازدهم 🚩جزوه شیمی هادیان فر…

23 Oct 2026, 06:50 UTC176 viewsread 24 October 2026

🆕سالیانه فیزیک براتی جلسه 2️⃣1️⃣آپدیت شددریافت📥

23 Oct 2026, 06:50 UTC230 viewsread 24 October 2026
Photo

🔗#سالیانه_فیزیک_براتی_1406 💬| دوره : سالیانه 📇| استاد : براتی 📬| رشته : تجربی و ریاضی 📝➖📝➖📝➖📝➖📝➖📝➖ «جلسات آموزش» ✅┣⟨جلسه 01⟩←{فیلم+جزوه} ✅┣⟨جلسه 02⟩←{فیلم+جزوه} ✅┣⟨جلسه 03⟩←{فیلم+جزوه} ✅┣⟨جلسه 04⟩←{فیلم+جزوه} ✅┣⟨جلسه 05⟩←{فیلم+جزوه} ✅┣⟨جلسه 06⟩←{فیلم+جزوه} ✅┣⟨جلسه 07⟩←{فیلم+جزوه} ✅┣⟨جلسه 08⟩←{فیلم+جزوه} ✅┣⟨جلسه 09⟩←{فیلم+جزوه} ✅┣⟨جلسه 10⟩←{فیلم+جزوه} ✅┣⟨جلسه 11⟩←{فیلم+جزوه} ✅┣⟨جلسه 12⟩←{فیلم+جزوه}🆕 @PremiumVIPPac

9 Oct 2026, 08:15 UTC715 viewsread 24 October 2026

🆕سالیانه فیزیک براتی جلسه 9️⃣0️⃣آپدیت شددریافت📥

9 Oct 2026, 08:14 UTC692 viewsread 24 October 2026
Photo

🔗#سالیانه_فیزیک_براتی_1406 💬| دوره : سالیانه 📇| استاد : براتی 📬| رشته : تجربی و ریاضی 📝➖📝➖📝➖📝➖📝➖📝➖ «جلسات آموزش» ✅┣⟨جلسه 01⟩←{فیلم+جزوه} ✅┣⟨جلسه 02⟩←{فیلم+جزوه} ✅┣⟨جلسه 03⟩←{فیلم+جزوه} ✅┣⟨جلسه 04⟩←{فیلم+جزوه} ✅┣⟨جلسه 05⟩←{فیلم+جزوه} ✅┣⟨جلسه 06⟩←{فیلم+جزوه} ✅┣⟨جلسه 07⟩←{فیلم+جزوه} ✅┣⟨جلسه 08⟩←{فیلم+جزوه} ✅┣⟨جلسه 09⟩←{فیلم+جزوه}🆕 @PremiumVIPPack

7 Oct 2026, 20:21 UTC326 viewsread 24 October 2026

🆕دوره شروع از مهر فیزیک براتی جلسه 2️⃣0️⃣آپدیت شددریافت📥

7 Oct 2026, 20:21 UTC312 viewsread 24 October 2026
Photo

🔗#شروع‌ازمهر_فیزیک_براتی_1406 💬| دوره : شروع از مهر 📇| استاد : براتی 📬| رشته : تجربی و ریاضی 📝➖📝➖📝➖📝➖📝➖📝➖ «جلسات آموزش» ✅┣⟨جلسه 01⟩←{فیلم+جزوه} ✅┣⟨جلسه 02⟩←{فیلم+جزوه}🆕 @PremiumVIPPack

7 Oct 2026, 20:19 UTC216 viewsread 24 October 2026

🆕دوره سالیانه فیزیک براتی جلسه 8️⃣0️⃣آپدیت شددریافت📥

7 Oct 2026, 20:18 UTC270 viewsread 24 October 2026
Photo

🔗#سالیانه_فیزیک_براتی_1406 💬| دوره : سالیانه 📇| استاد : براتی 📬| رشته : تجربی و ریاضی 📝➖📝➖📝➖📝➖📝➖📝➖ «جلسات آموزش» ✅┣⟨جلسه 01⟩←{فیلم+جزوه} ✅┣⟨جلسه 02⟩←{فیلم+جزوه} ✅┣⟨جلسه 03⟩←{فیلم+جزوه} ✅┣⟨جلسه 04⟩←{فیلم+جزوه} ✅┣⟨جلسه 05⟩←{فیلم+جزوه} ✅┣⟨جلسه 06⟩←{فیلم+جزوه} ✅┣⟨جلسه 07⟩←{فیلم+جزوه} ✅┣⟨جلسه 08⟩←{فیلم+جزوه}🆕 @PremiumVIPPack

27 Aug 2026, 12:01 UTC≈1,150 viewsread 24 October 2026
Photo

⭕️ خفن ترین و جامع ترین پک در چنل های درسی ❤️‍🔥 🐸 کاملترین پک همایش تلگرام تمامی منابع 🐸 کاملترین پک نهایی تلگرام تمامی منابع ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ ⭕️ کامل ترین لیست دبیران دوره های ۴۰۵ و قبل تر ☑️تمامی دوره های دبیران 👇 ☑️آرشیو تمامی جزوات دبیران به تفکیک ❤️‍🔥کامل‌ ترین آرشیو ریاضی کرمی ❤️‍🔥کامل‌ ترین آرشیو ریاضی حیدری ❤️‍🔥کامل‌ ترین آرشیو شیمی فراهانی ❤️‍🔥…

18 Aug 2026, 08:07 UTC≈1,060 viewsread 24 October 2026

🆕همایش فیزیک براتی جلسه 3️⃣0️⃣آموزش آپدیت شددریافت📥

18 Aug 2026, 08:07 UTC≈1,070 views1 reactionsread 24 October 2026
Photo

🔗#همایش_فیزیک_براتی_1405 📌| دوره : همایش کنکور ✖️| استاد : براتی 📍| رشته : تجربی و ریاضی 📝➖📝➖📝➖📝➖📝➖📝➖ «جلسات آموزش» ⚡️┣⟨جلسه 01⟩←{فیلم+جزوه} ❤️┣⟨جلسه 02⟩←{فیلم+جزوه} ⚡️┣⟨جلسه 03⟩←{فیلم+جزوه}🆕 @PremiumVIPPack

❤1

Showing the 12 most recent of 30 posts we hold for @rnfjo. 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

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.

Mentions

Named by 1 registered channel — 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.

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.

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“فیزیک براتی یازدهم” (@rnfjo), 24,781 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/rnfjo.

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.