Telegram RegisterThe public register of Telegram

Channel

یادداشت‌های علیرضا بازارگان

@drbazargan

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

2,888subscribers

+0 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001003243628
TypeChannel
Username@drbazargan
Created8 December 2015measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/drbazargan

Growth

2,8852,8892,8875 August 2026 — 2,888 subscribers6 August 2026 — 2,888 subscribers6 August 2026 — 2,885 subscribers9 August 2026 — 2,889 subscribers12 August 2026 — 2,888 subscribers2,8885 August 202612 August 2026
5 measurements spanning 7 days. 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 2,884–2,890 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:442,888-1
9 Aug 2026, 23:342,889+4
6 Aug 2026, 20:042,885-3
6 Aug 2026, 05:042,888no change
5 Aug 2026, 18:162,888first reading

Engagement

15 posts held, back to 8 September 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.2%
avg views ÷ 2,888 subscribers
Avg views / post
727
1 post measured
Reaction rate
7.43%
reactions ÷ views · ER floor
Posts in window
1
of 15 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 6 August 2026
Posts held15 (8 September 20256 August 2026)
Views total727
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:05 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
40m 21s
Average length
4m 29s

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.

Reaction mix

826 reactions across 14 posts, in 14 distinct kinds. The most used accounts for 44.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
36544.2%
👍23228.1%
👎829.93%
😁404.84%
😢394.72%
🤬182.18%
💔141.69%
🙏131.57%
🔥80.969%
🤔70.847%
😈50.605%
🕊10.121%
😱10.121%
🤯10.121%

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 15 of the 15 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 856reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 8 September 2025 to 6 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.

Recent posts

6 Aug 2026, 05:45 UTC727 views54 reactionsread 7 August 2026
Video

این را خودم از MS NOW دانلود کردم. گزارشگر با خانواده اعضای نیروی دریایی آمریکا که در ناو آبراهام لینکن مستقر هستند صحبت می‌کند. کمبود صابون، کمبود غذا، کمبود خمیردندان، خراب بودن سرویس‌های بهداشتی، خراب بودن آب‌گرم‌کن‌ها که منجر به هفته‌ها آب سرد شده، خراب بودن ماشین‌های لباس‌شویی، و شیفت‌های کاری ۱۲ الی ۱۴ ساعته! باورش سخت است که بزرگ‌ترین ابرقدرت دنیا در مبارزه با ایران این طور گرفتار شده باشد. خانواده‌ها می‌گویند

👍30👎6🔥6🙏54😁3

28 Jun 2026, 02:05 UTC≈1,830 views108 reactionsread 7 August 2026

ساعت ۳:۴۵ بامداد آلارمم برای نماز صبح به صدا در می‌آید. بی‌درنگ به گوشی مراجعه می‌کنم و نتیجه بازی فوتبال شبانه را چک می‌کنم. متاسفانه کروواسی غنا را شکست داده است. به خودم دلداری می‌دهم که ایرادی ندارد، هنوز دو شانس برای صعود ما باقی مانده. بازی ازبکستان و کونگو به نیمه رسیده و ازبکستان یک هیچ جلو است. کافی است بتواند این نتیجه را حفظ کند. عذاب وجدان می‌گیرم که چرا قبل از نماز فکر و ذکرم نتیجه فوتبال بوده؟ صفحه گوش

63😢16👍9😁8💔6👎3🤬2😈1

18 Jun 2026, 06:44 UTC≈2,100 views46 reactionsread 7 August 2026
Video

کلا ان معی ربی سیهدین https://t.me/drbazargan/1289

33😁6👍2🙏2👎1😈1😢1

18 Jun 2026, 06:34 UTC≈2,070 views85 reactionsread 7 August 2026

دیشب توافق اولیه میان ایران و آمریکا اعلام شد. شاید کمتر کسی باورش می‌شد آن دشمنی که اول حمله‌ی وحشیانه‌اش حرف از "تسلیم بی قید و شرط" و "سرنگونی حکومت" و "نابود کردن تمدن" می‌زد، پس از حدود ۱۰۰ روز مقاومت به نقطه‌ای برسد که هم تحریم‌های نفتی ایران را تعلیق کند، هم حاکمیت ایران بر تنگه هرمز را در چهارچوب قانون بین‌المللی به رسمیت بشناسد، و هم راهی جز اعتراف به توانمندی ایرانیان برایش باقی نماند. وضعیت حیرت‌آور است.

58👎16💔3😁3👍2🤔1😢1🙏1

21 May 2026, 07:16 UTC≈2,230 views15 reactionsread 7 August 2026
File

نسخه کیفیت بالای فایل قبلی https://t.me/drbazargan/1285

7👎7😁1

21 May 2026, 07:10 UTC≈2,270 views31 reactionsread 7 August 2026
Video

برنامه من ایرانم شبکه نسیم مورخ ۲۹ اردیبهشت ۱۴۰۵ مهمان برنامه: علیرضا بازارگان لینک: https://telewebion.ir/episode/0x16c2ce96 سایز فایل 61MB مدت فایل ۱۷ دقیقه @drbazargan

21😁5👍2🔥1🕊1🤔1

29 Mar 2026, 03:48 UTC≈2,190 views28 reactionsread 7 August 2026
Video

Here is what two nuclear armed powers did to a restaurant in a country that didn't bow to them. کاری که دو کشور که دارای بمب اتم هستند، با یک رستوران در کشوری کردند که به آن‌ها سجده نکرد.

🤬16👎5😢5🤔1😁1

21 Mar 2026, 14:03 UTC≈2,170 views27 reactionsread 7 August 2026
Forwarded from @ma_archive_maVideo

در طول تاریخ آیا کسانی بوده‌اند که برای تفریح دیگران را بکشند؟ چنین افرادی چه خصوصیاتی دارند؟ از طرفی، طرفداری از کسی که برای تفریح آدم می‌کشد به چه معنا است؟ ممنون از Lawrence O'Donnell که دقیقا دست گذاشت بر روی همان نکته‌ای که من را حیرت‌زده کرده بود.

👍21🤔4😁1😱1

19 Mar 2026, 10:48 UTC≈1,850 views47 reactionsread 7 August 2026
Video

This is how to put the Epstein coalition mouthpieces in their place. You have messed with the wrong country! We'd rather die on our feet than bow as slaves. ✅ وقتی مجری انگلیسی توسط کارشناس ایرانی ادب می‌شود! 📍ایران لقمه ای بزرگتر از دهان شماست، شما اهالی طبقه اپستین با کسانی درگیر شدید که نباید با آن‌ها وارد یک نبرد می‌شدید، ما خواهیم جنگید و گلوی آمریکا را در تنگه هرمز رها نخواهیم کرد... 🆔 @Kavoshmedia

28👎9👍6😁3🔥1

13 Mar 2026, 10:06 UTC≈1,610 views33 reactionsread 7 August 2026
Forwarded from @ma_archive_maVideo

WATCH: UNREAL SCENES! Despite bombing of the civilian area, Iranians in Tehran continue to march in defiance to U.S. and Israeli bombings, chanting “Allahu Akbar” God is greater! You only hear about this type of devotion in stories, but Iranians are showing some of the most legendary acts of heroism ever captured on film. Note: a mother and her son attending the march were murdered by the US/Israeli attack.

22😁6💔5

5 Mar 2026, 05:01 UTC≈2,060 views73 reactionsread 7 August 2026
Photo

آمریکا و اسرائیل بیش از ۱۰۰ دختربچه را پرپر کرده‌اند و اکنون دنبال گل‌آلود کردن فضا و فرار از افکار عمومی‌اند. طرفداران ساده‌لوح آن‌ها هم دقیقا درون سناریو آن‌ها بازی می‌کنند و انقدر شایعه پراکنی می‌کنند تا اثر این جنایت بر دل‌ها کمتر شود. دقیقا مثل وقتی اسرائیل در غزه بیمارستان می‌زد. انقدر توجیه کردند تا جنایت علنی عادی‌سازی شد و آخرهای جنگ غزه دیگر حتی نیازی به توجیه برای زدن آمبولانس و بیمارستان احساس نمی‌کردند.

👍43👎18😢111

28 Feb 2026, 12:41 UTC≈2,130 views94 reactionsread 7 August 2026
Video

نمی‌دانم که فردا دسترسی دارم که برایتان بنویسم یا نه؟ حتی نمی‌دانم تقدیرم در این است که تا روزی دیگر در این دنیا بمانم یا خیر. ولی اکنون که هنوز دستم می‌رسد، حرفم را می‌زنم. حقیقتا باور دارم که عمر دست خداست. عزت و ذلت دست خداست. هیچ برگی از درختی نمی‌افتد مگر در قلمرو قدرت و حکمت او باشد. ما راضی هستیم به رضای او و آرزو می‌کنیم تا جایی که لیاقت داریم، به اعضا و جوارح ما قدرت دهد تا به راهش خدمت کنیم. نه تنها شکایتی

65👍14👎11😁2🙏2

Showing the 12 most recent of 15 posts we hold for @drbazargan. 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.

Citation-graph rank

Citation-graph rank — 1,092,485 of 1,345,403entries 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.

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

“یادداشت‌های علیرضا بازارگان” (@drbazargan), 2,888 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/drbazargan.

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.