🟦 باتلاق امروز ؛ تعلیق آینده چارچوبی نظری برای تحلیل حکمرانی در وضعیت «نه جنگ، نه صلح» ✍️ #محمدرضا_اخضریان کاشانی (دانشجوی اندیشه و سیاست و جامعه) 🔸تحولات ناشی از جنگ و چالشهای امنیتی و ژئوپلیتیکی، جمهوری اسلامی را وارد وضعیت نه جنگ، نه صلحی نموده که نه منطق حکمرانی عادی بر آن حاکم است و نه الزامات حکمرانی جنگی به طور کامل استقرار یافته است. در وضعیت که به تدریج به تعلیق حکمرانی میانجامد؛ ظرفیت نظام سیاسی برای تص…

Channel
رسانه فکرت|گفتگو،تحلیل،آگاهی
@fekratmedia
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,342subscribers
-133 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002266150851 |
|---|---|
| Type | Channel |
| Username | @fekratmedia |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/fekratmedia |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 20:44 | 2,342 | -54 |
| 9 Aug 2026, 15:13 | 2,396 | -78 |
| 6 Aug 2026, 18:10 | 2,474 | -1 |
| 6 Aug 2026, 13:34 | 2,475 | first reading |
Engagement
22 posts held, back to 19 July 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.56%
- avg views ÷ 2,342 subscribers
- Avg views / post
- 107
- 22 posts measured
- Reaction rate
- 1.00%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 22 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. It is computed over the 4 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 22 (19 July 2026 – 7 August 2026) |
| Views total | 2,351 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:28 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
- 10m 23s
- Average length
- 1m 09s
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
5 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 40.0% | |
| 👍 | 2 | 40.0% | |
| 👎 | 1 | 20.0% |
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 4 of the 22 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 19 July 2026 to 7 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
🎞 چرا مسلم بن عقیل در کوفه تنها ماند؟ 👤 دکتر #سعید_طاووسی_مسرور غربت و تنهایی مسلم بن عقیل در کوفه، نتیجهی یک تصمیم هیجانی یا ترسِ محض نبود؛ بلکه حاصل یک «محاسبهی سرد و عقلانی» بر پایه منفعتطلبی بود! به گفتهی دکتر سعید طاووسی مسرور، اهل کوفه وقتی پای عمل به میان آمد، نشستند و حسابوکتاب کردند. آنها دیدند همراهی با سفیر امام حسین (ع)، هزینهزا است و منفعت نقد و فوری برایشان ندارد. همین تحلیلهای منفعتطلبانه…
🎙 #پادکست | «رهبر دیالوگی؛ از شنیدن تا ساختن آینده 🎙دکتر #سهیلا_صادقی (استاد علوم اجتماعی دانشگاه تهران) 00:00 | حافظه نسلی و تجربه زنان 03:30 | چرا رهبریِ خوب باید «دیالوگی» باشد؟ 06:00 | مردم فقط مخاطب نیستند؛ شریکِ میداناند 08:00 | قدرت ساختاری و قدرت معنایی 10:00 | رهبر بهمثابه معمار هویت 12:00 | از ادارهکردن جامعه تا ساختن یک روایت تاریخی 15:00 | حافظه آینده 18:00 | مقاومت بهعنوان سبک زندگی 20:30 | شمولیت؛…
🎧 پادکست سخنرانی 🔶 موضوع | «رهبر دیالوگی؛ از شنیدن تا ساختن آینده 🎙دکتر #سهیلا_صادقی (استاد علوم اجتماعی دانشگاه تهران) همایش «شهادت امام خامنهای(ره) و بازتاب آن در جهان اجتماعی» 📍 #پادکست | #رهبر_شهید | #هویت_ملی 🌱 فکرت | گفتوگویی برای ساخت فردا 🔅@fekratmedia🔅
اربعین حسینی تسلیت باد 🖤 🌱 فکرت | گفتوگویی برای ساخت فردا 🔅@fekratmedia🔅
❤1👎1
آیا شیعیان امام حسین (ع) را به شهادت رساندند؟! 👤 #سعید_طاووسی_مسرور یکی از شبهات قدیمی که توسط ابنتیمیه و جریانهای تکفیری مطرح میشود این است که «شیعیان، امام حسین (ع) را دعوت کردند و خودشان هم او را کشتند!» این ادعا یک تحریف بزرگ تاریخی است. واقعیت این است که حسین (ع) را شیعیان دعوت کردند، اما عثمانیانِ کوفه او را به شهادت رساندند. اگرچه کوفه بیشترین تراکم شیعه را داشت، اما حتی در خود کوفه هم شیعیان در اقلیت بود…
👍2
🎙 #پادکست | «#هویت_ملی؛ از جنگ تا انسجام» 🎙حجتالاسلام #احمد_واعظی (رئیس دفتر تبلیغات اسلامی) 00:00 | جامعه ایران در جنگ چگونه واکنش نشان داد؟ 02:30 | انسجام ملی در شرایط جنگ؛ 06:00 | چرا این واکنش، صرفاً مقطعی و هیجانی نیست؟ 09:00 | هویت ملی ایمانی ایرانیان 12:00 | هویت ملی و همبستگی و مقاومت جامعه 15:00 | نقش رهبری شهید در معماری هویت ملی 18:00 | زبان و ادب فارسی؛ یکی از ستونهای استمرار هویت ایرانی 20:30 | هویت …
🎧 پادکست سخنرانی 🔶 موضوع | «هویت ملی؛ از جنگ تا انسجام» 🎙حجتالاسلام #احمد_واعظی (رئیس دفتر تبلیغات اسلامی) همایش «شهادت امام خامنهای(ره) و بازتاب آن در جهان اجتماعی» 📆۵ مردادماه ۱۴۰۵ 📍 #پادکست | #رهبر_شهید | #هویت_ملی 🌱 فکرت | گفتوگویی برای ساخت فردا 🔅@fekratmedia🔅
🎞 «شهادت امام خامنهای(ره) و بازتاب آن در جهان اجتماعی» هماندیشی جمعی از اصحاب علوم انسانی و اجتماعی با حضور اساتید حوزه و دانشگاه: - حجتالاسلام والمسلمین حمید پارسانیا - دکتر سهیلا صادقی - دکتر بیژن عبدالکریمی - دکتر فریبا علاسوند - دکتر ابراهیم فیاض - حجتالاسلام والمسلمین دکتر احمد واعظی و... 📍 #تیزر | #همایش 🌱 فکرت | گفتوگویی برای ساخت فردا 🔅@fekratmedia🔅
📸 #گزارش_تصویری ✍️ شهادت امام خامنهای(ره) و بازتاب آن در جهان اجتماعی به همراه آیین رونمایی از کتاب «بعثت خون» این نشست با حضور اساتید حوزه و دانشگاه حجتالاسلام والمسلمین حمید پارسانیا، دکتر سهیلا صادقی، دکتر بیژن عبدالکریمی، دکتر فریبا علاسوند، دکتر ابراهیم فیاض و حجتالاسلام والمسلمین احمد واعظی در سالن همایش سازمان علمی و فرهنگی آستان قدس رضوی برگزار شد. 🔺کتاب «بعثت خون» مجموعهای از یادداشتها و مقالات علمی …
▫️روشنفکرانی که رسالت واقعی کار روشنفکری را کنار نهاده و در وادی نوعی #پوپولیسم فکری افتادهاند و جامعه را هر روز مضطربتر و بیمارتر میکنند. کار و مقصود اینان در این جامعه قطعاً غیر از کار و مقصود روشنفکران واقعی است. اینان کسانیاند که در دنیای علم هیچ دستاوردی ندارند، از هیچ مرجیتی برخوردار نیستند اما در عالم فضای مجازی به شوالیههای میدان بدل شدهاند؛ به بیان دقیقتر، در «دنیای مجازی»! ▫️در این #بازار_مکاره، محق…
🟦 وضعیت هیچکاکی اندیشه از «صنعت روشنفکری» تا پارانویای معرفتی جامعه ✍️ #مهدی_فدایی_مهربانی 🔸تصور من آن است که به لحاظ فکر و فرهنگ در وضعیتی هولناک قرار داریم که میتوان آن را وضعیت هیچکاکی فرهنگ و اندیشه دانست. وضعیتی پر از حس تعلیق، تهیگی معنا، پارانویاهای معرفتی و هراسی که در پسِ آرامشی ظاهری نهفته و معلوم نیست از کجاست. این همان حسی است که «صنعت روشنفکری» برای این جامعه آفریده است. 📍 #یادداشت | #نقد_روشنفکری…
Showing the 12 most recent of 22 posts we hold for @fekratmedia. 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 — 32,062 of 1,340,412entries 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 6 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
“رسانه فکرت|گفتگو،تحلیل،آگاهی” (@fekratmedia), 2,342 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/fekratmedia.
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.