Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 13 of the 13 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 86 comparable posts for this entry, running 27 July 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 5 channels, the one whose matching posts we hold earliest is @feghtesadradio — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
29 measurements spanning 99 days, net +1,478. 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 7,351–9,273 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
12 Nov 2026, 14:46
9,051
+22
8 Nov 2026, 13:56
9,029
+6
5 Nov 2026, 16:44
9,023
+44
2 Nov 2026, 07:00
8,979
+4
29 Oct 2026, 20:17
8,975
+30
26 Oct 2026, 09:39
8,945
+13
23 Oct 2026, 11:50
8,932
+8
20 Oct 2026, 16:44
8,924
+28
18 Oct 2026, 01:46
8,896
+29
15 Oct 2026, 04:59
8,867
+67
12 Oct 2026, 07:20
8,800
+103
5 Oct 2026, 13:16
8,697
+340
27 Sept 2026, 20:37
8,357
+132
18 Sept 2026, 19:00
8,225
+52
14 Sept 2026, 17:58
8,173
+83
11 Sept 2026, 08:19
8,090
+53
6 Sept 2026, 18:37
8,037
+158
2 Sept 2026, 04:34
7,879
-2
30 Aug 2026, 13:17
7,881
+40
27 Aug 2026, 20:47
7,841
first reading
Engagement
86 posts held, back to 27 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 39 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
47.8%
avg views ÷ 9,051 subscribers
Avg views / post
4,330
28 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
28
of 86 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
Window
Rolling 30 days · latest post in window 12 November 2026
Posts held
86 (27 July 2026 – 12 November 2026)
Views total
121,200
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 13:05 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
Photos
3
Videos
4
Links
814
Lifetime counters from Telegram’s own channel header, read 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 28 posts held from the last 30 days (25.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
زمان اصلاحات اقتصادی فرا میرسد؟
گفتوگویی درباره یک مسأله ملی
◻️رسانه «فردای اقتصاد» برنامه جدیدی برای هماندیشی درباره مسائل ملی تحت عنوان رویداد «گفتوگوی ملی» تدارک دیده است که اولین قسمت آن با حضور جمعی از اهل اندیشه و قلم برگزار شد. در نخستین قسمت این برنامه که به بهانه انتشار کتاب «جرم بحرانی؛ کالبدشکافی گذار به توسعه» توسط صادق الحسینی برگزار شد پیشنیازهای اصلاحات اقتصادی مورد بحث و بررسی قرار گرفت.
◻️نویس…
رشد پتروشیمی ایران کجا متوقف شد؟
میز پتروشیمی با اجرای مهتاب رحمتعلی
🔗مشاهده ویدیو در وب سایت
🔗مشاهده ویدیو در آپارات
🔗مشاهده ویدیو در یوتیوب
◽️واگذاریهای شتابزده، گسست زنجیره ارزش و مدیریت بنگاهها بر دوش صندوقهای بازنشستگی، صنعت پتروشیمی را با چالشهای جدی مواجه کرده است. در بخش دوم و پایانی «میز پتروشیمی» با علی صالحنیا، موانع حکمرانی شرکتی، فشار تأمین مستمری بازنشستگان بر بودجه تحقیق و توسعه و خطر وابستگی ت…
رقص با اهرم روی زمین کج بورس
واچلیست با علیتسنیمی
◽️بورس رکورد میزند و سودهای چندصددرصدی اهرمیها چشمها را خیره کرده است؛ اما برای ادامه این رقص، فقط همراهشدن با موج صعود کافی نیست. ریسکهای سیاسی هنوز پابرجاست و اهرم، همانقدر که سود را بزرگ میکند، میتواند زیان را هم تشدید کند.
◽️در واچلیست ۲۰ آبان با اجرای علی تسنیمی، بهرام گروسی، مدیر صندوق دو ایکس، و مرتضی کلهری، مدیر صندوق اهرم، از تصمیمگیری روی همی…
سرمقاله/ رهاورد نوبل ۲۰۲۶ برای اقتصاد
گفتوگو با مهدی انصاری
🔗مشاهده ویدیو در وبسایت
🔗مشاهده ویدیو در آپارات
🔗مشاهده ویدیو در یوتیوب
◽️آکادمی نوبل در حالی جایزه امسال خود در رشته اقتصاد را به دو اقتصاددان آمریکایی داد که برخی نکات جالب سبب توجه بیش از پیش به این جایزه شد؛ توجه به پایههای خرد برای اقتصاد کلان و اهمیت دادن به انتظارات در فهم تورم. این دو محور که در عمده کارهای رابرت هال و مایکل وودفورد دیده میشوند…
فراتر از سود؛ چطور سبدی تابآور بسازیم؟
بورسان با مهدیطحانی
◽️در روزهایی که نااطمینانی بر اقتصاد و بازارها سایه انداخته، مدیریت ریسک و حفظ انعطافپذیری سبد، بیش از پیش اهمیت یافته است.
علی تیموری، مدیرعامل گروه مالی کاریزما، مهمان «بورسان» بود. او معتقد است قیمتگذاری ریسک و مدیریت نااطمینانیها، مهمترین محرک رفتار سرمایهگذاران است؛ عاملی که به افزایش هیجانات در بازارها انجامیده است.
◽️از نگاه تیموری، بازار سها…
سود بیشتر برای پول صبورتر؛ صندوقهای بدهی خصوصی در راه بازار
واچلیست با علیتسنیمی
◽️بنگاه برای تأمین مالی پشت صف بانک مانده و سرمایهگذار بهدنبال بازدهی بالاتر است. آیا صندوقهای بدهی خصوصی میتوانند این دو را به هم برسانند؟
◽️در واچلیست ۱۶ آبان، با اجرای علی تسنیمی و حضور محمدحسین حاجاسماعیلی، سراغ ابزاری رفتیم که جای آن در بازار سرمایه ایران خالی است؛ صندوقهایی که منابع سرمایهگذاران را جمع میکنند و با ا…
در آغوش بورس؛ سودهای بزرگ در اقتصاد کوچکشده
واچلیست با علیتسنیمی
◽️تولید عقب نشسته، اما سود برخی شرکتهای بورسی جهش کرده است. آیا بورس فرصتی در دل رکود پیدا کرده یا بخشی از این سودها، محصول موقت تورماند؟
◽️در واچلیست ۱۳ آبان، با اجرای علی تسنیمی و حضور مهدی کریمی، بازگشت رنگ سبز به بازار را کنار گزارشهای تابستان و عملکرد مهر گذاشتیم؛ تا ببینیم پشت رشد قیمت سهام، چه اتفاقی در بنگاهها افتاده است.
◽️در تحلیل…
از اصلاح سرخ بورس تا سناریوی شاخص ۱۱ میلیونی
◽️بازار سهام در آستانه اصلاحی جدی قرار دارد یا روند صعودی همچنان پابرجاست؟ شاهرخ شریعتی، کارشناس بازار سرمایه، مهمان «بورسان» بود تا چشمانداز بورس را از دو منظر بنیادی و تکنیکال بررسی کند.
◽️از نگاه شریعتی، نمودارهای تکنیکال از احتمال اصلاحی نزدیک به ۲۰ درصد در بسیاری از صنایع حکایت دارند؛ اصلاحی که به اعتقاد او، لزوماً نشانه پایان روند صعودی نیست و میتواند بخشی از مسی…
خروج از بورس؛ احتیاط یا هزینه؟
واچلیست با علیتسنیمی
◽️فروش سهام، ریسک را حذف نمیکند؛ شکل آن را تغییر میدهد. سرمایهگذار از نوسان بورس فاصله میگیرد، اما با دو پرسش تازه روبهرو میشود؛ پول تا فرصت بعدی کجا بماند و اگر بازار با خبر گشایش برگردد، بازگشت به سهام چه هزینهای خواهد داشت؟
◽️در واچلیست ۱۱ آبان، با اجرای علی تسنیمی و حضور حسین فرزان، عضو هیئتمدیره سبدگردان ویستا، هزینههای ماندن در بورس و بیرونآمد…
بورس در قیمت منصفانه؛ فرصت خرید کجاست؟
بورسان با مهدیطحانی
◽️تورم همچنان موتور محرک بازارهای دارایی است؛ اما نااطمینانیها، رفتار سرمایهگذاران را محتاطانهتر کردهاند.میثم فدایی، مدیرعامل گروه مالی آبان، مهمان «بورسان» بود. او معتقد است تلاش برای حفظ قدرت خرید در برابر تورم، مهمترین عامل حرکت سرمایهها میان بازارهاست. در این میان، عقبنشینی نسبی دولت از قیمتگذاری دستوری، به جذابیت بازار سهام کمک کرده؛ اما افزای…
استراتژی برنده مقابل دو غول خفته سرمایهگذاری
فردای بازارها با علیتسنیمی
🔗 مشاهده برنامه کامل در وبسایت
🔗 مشاهده برنامه در آپارات
🔗 مشاهده برنامه در یوتیوب
◽️یکی هزینه ریسککردن را بالا میبرد، دیگری امنیت سرمایه را تهدید میکند؛ نرخ بهره و جنگ، دو غول خفتهای که میتوانند معادلات سرمایهگذاری را تغییر دهند. مقابل این دو، نه پناهبردن به درآمد ثابت انتخابی بیهزینه است، نه خرید دارایی به هر قیمت، تضمین حفظ ارزش …
مجله هفتگی فردای بازارها- ۵۲ صفحه
🗓شنبه ۹ آبان - شماره ۲۳
🔗 مرجع فرصتهای سرمایهگذاری
◻️واکنش تورم به دلار و نقدینگی
◻️تغییر موتور تورم در سفره خانوار
◻️۱۱ نکته کلیدی برای سرمایهگذاران
◻️سه پیام از سه بازار مثبت
◻️بورس در فاز استراحت یا توقف؟
◻️سیگنال ترمز چاپ پول به بازار
◻️شکاف ارزی شدیدتر میشود؟
◻️پشت پرده افزایش حباب سکه
◻️رابطه مسکن و بورس عقیم شد؟
◻️کارنامه شکست صندوقهای ملکی
◻️تاوان دنده عقب در بازار خود…
Showing the 12 most recent of 86 posts we hold for @feghtesadradio. 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
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 22 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“رادیو فردای اقتصاد” (@feghtesadradio), 9,051 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/feghtesadradio.
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.