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 10 August 2026 and assigned it the closest of 31 fixed categories, at 46% 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 3 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. 25 of the 30 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 462 comparable posts for this entry, running 2 August 2026 to 10 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. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 11 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.
64 measurements spanning 97 days, net +5,664. 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 57,777–65,163 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
10 Nov 2026, 14:49
64,311
+5
8 Nov 2026, 22:46
64,306
+12
7 Nov 2026, 17:05
64,294
+142
6 Nov 2026, 16:25
64,152
+85
5 Nov 2026, 13:06
64,067
+6
4 Nov 2026, 12:21
64,061
-27
3 Nov 2026, 08:49
64,088
-28
2 Nov 2026, 06:37
64,116
+6
1 Nov 2026, 08:45
64,110
+18
31 Oct 2026, 07:15
64,092
+178
30 Oct 2026, 06:09
63,914
-6
29 Oct 2026, 03:17
63,920
-6
28 Oct 2026, 02:28
63,926
-10
27 Oct 2026, 03:16
63,936
-11
26 Oct 2026, 05:31
63,947
-11
25 Oct 2026, 06:56
63,958
+17
24 Oct 2026, 04:40
63,941
+98
23 Oct 2026, 06:36
63,843
+2
22 Oct 2026, 07:07
63,841
-4
21 Oct 2026, 01:56
63,845
first reading
Engagement
477 posts held, back to 2 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.7%
avg views ÷ 64,311 subscribers
Avg views / post
14,000
131 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
131
of 477 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 10 November 2026
Posts held
477 (2 August 2026 – 10 November 2026)
Views total
1,828,920
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 11:03 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
≈14,900
Videos
≈9,510
Links
≈19,400
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
12h 41m
Average length
2m 41s
Measured directly from 283 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.
Recent posts
Telegram’s own ‘edited’ marker: 35 of 131 posts held from the last 30 days (26.7%) 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).
صندوقهای بدهی خصوصی میآیند؟
رامسازی نقدینگی برای خلق ثروت
🟥 لینک دانلود فایل کامل مجله فردای بازارها
◽️با وجود رشد مداوم نقدینگی، بسیاری از کسبوکارهای کوچک و متوسط همچنان برای تامین سرمایه با مشکل مواجهاند. آیا راهی وجود دارد که منابع مالی، بهجای گرفتارشدن در صف وامهای بانکی یا بازارهای سفتهبازی، مستقیمتر به بنگاهها برسند؟
◽️حالا پیشنهاد راهاندازی صندوقی مطرح شده که میتواند مسیر تازهای برای تامین مالی …
آدرس غلط درباره نرخ بهره؛ تهدید اصلی بورس کجاست؟
بورسان با مهدیطحانی
◽️سیاستهای پولی انقباضی ادامه دارد؛ سختگیری بر بانکهای ناتراز افزایش یافته و سقف کریدور نرخ بهره به ۳۴ درصد رسیده است. همزمان، نیاز دولت به منابع مالی در نیمه دوم سال، چشمانداز نرخ بهره را با ابهام بیشتری روبهرو کرده است.هادی حیدری، کارشناس مسائل پولی و بانکی، مهمان «بورسان» بود.
◽️او معتقد است بزرگترین تهدید بازار سهام، نه افزایش نرخ بهر…
نبض صنعت فولاد/ از کارنامه ۶ ماهه تا چشم انداز آتی
◻️پنجمین سمینار تحلیلی اندیشکده فولاد و صنایع معدنی ایران با حضور جمعی از مدیران ارشد، فعالان بازار سرمایه و رئیس سازمان بورس و اوراق بهادار برگزار شد.
◻️بررسی عملکرد ۶ ماهه شرکتهای فولادی، واکاوی چالشهای پیشرو و ترسیم چشمانداز این صنعت کلیدی، از محورهای اصلی این رویداد بود. همچنین در این نشست، گروه مالی کیان آخرین تحلیل تخصصی خود از وضعیت شرکتهای زنجیره فولاد…
⭐️ ستاره، پرنورتر شد!
پیشبینی بازدهی سالانه صندوق سرمایهگذاری ستاره پایدار سپهر به ۴۱٪ رسید.
🕯 چرا ستاره را انتخاب کنیم؟
🫶پیشبینی بازدهی سالانه ۴۱٪
🫶 سود بهصورت روزشمار و بدون نرخ شکست
🫶رشد سرمایه با حفظ سود در ارزش واحدها
🫶 نقدشوندگی مناسب با بازارگردانی فعال
🫶 معاف از مالیات
🫶 امکان سرمایهگذاری با حداقل سرمایه
🫶 خرید و فروش آسان از طریق سامانه معاملاتی کارگزاریها
🔍 برای سرمایهگذاری در ستاره، کافی است نما…
متهم ریزش بزرگ قیمت بیتکوین
🟥 لینک دانلود فایل کامل مجله فردای بازارها
◽️بیشتر موسسات بینالمللی پیشبینی کرده بودند قیمت بیتکوین تا پایان ۲۰۲۶ حتی تا ۱۲۰ هزار دلار هم رشد خواهد کرد. چه اتفاقی افتاد که قیمت آن تا ۷۴-۷۵ هزار دلار سقوط کرد؟
◻️رسانه تصویری فردای اقتصاد⬇️
@Feghtesad
۶ عدد و ۵ نکته کلیدی در بازار مسکن
◽️جهش مسکن، جبران عقبماندگی بود؟ قیمت مسکن تهران پس از ۲۷ ماه کاهش ارزش واقعی، دوباره جهش کرد؛ اما در پنج سال گذشته حتی از تورم عقب ماند، درحالیکه سکه ۲۲ برابر شد.
◽️پیروی مسکن از دلار اما با تاخیر: قیمت مسکن معمولا چند ماه پس از جهش دلار افزایش مییابد. از خرداد تا مهر ۱۴۰۵، دلار ۵۲ درصد و مسکن تنها ۲۱ درصد رشد کرد.
◽️اجاره از قیمت خانه جا ماند: قیمت مسکن ۱۴۳ درصد و اجاره ۵۲ د…
🛫 مسیر اختیار با کیان | از تحلیل تا معامله
در کارگزاری کیان، انتخاب و اختیار با شماست.
📊 کدام استراتژی برای کدام بازار؟
🔺در این وبینار، به بررسی عملی استراتژیهای اختیار معامله در بازارهای صعودی، نزولی و خنثی میپردازیم و با کاربرد هر استراتژی در شرایط مختلف بازار آشنا میشویم.
🔺 در بخش لایو تریدینگ، معاملات بهصورت زنده انجام میشوند تا با نحوه اجرای استراتژیهای اختیار معامله در شرایط واقعی بازار آشنا شوید.
🗓 …
۵+۱ پیام خبرگان سرمایهگذاری به بورس
🟥 لینک دانلود فایل کامل مجله فردای بازارها
◽️برای نجات از تورم شدید چقدر میتوان روی سود بورس حساب کرد؟ در تازهترین نظرسنجی شاخص اطمینان، ۴۵ نفر با میانگین سبد سهام ۱۳ هزار میلیارد تومان، به چند سوال درباره آینده بورس جواب دادن که پنج به علاوه یک پیام برای بورس داشت.
◻️رسانه تصویری فردای اقتصاد⬇️
@Feghtesad
سرمقاله/ رهاورد نوبل ۲۰۲۶ برای اقتصاد
گفتوگو با مهدی انصاری
🔗مشاهده ویدیو در وبسایت
🔗مشاهده ویدیو در آپارات
🔗مشاهده ویدیو در یوتیوب
🎙نسخه صوتی
◽️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 د…
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…
۱۰ تصویر از بازار مسکن
دادههای کیلید از بازار ملک مناطق تهران و کلانشهرهای ایران چه میگوید؟
در این پرونده میخوانید:
▪️۶ عدد و ۵ نکته کلیدی در بازار مسکن
▪️بازار مسکن در ۵ سال؛ دو رکود، یک انفجار
▪️مسکن؛ برنده یکساله، بازنده پنجساله
▪️چهار موج صعودی بازار مسکن
▪️نگاه ۱۶ ساله به قیمت دلاری مسکن
▪️سرمایهها چرا به بازار مسکن پناه بردند؟
▪️اجاره از قیمت مسکن جا ماند؟
▪️بازار اجاره چگونه رهنمحور شد؟
▪️مشهد و شیراز…
Showing the 12 most recent of 477 posts we hold for @feghtesad. 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.
Posts edited after publishing
@feghtesad edited 11 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
30 August 2026
Most recent edit
26 October 2026
Posts recorded as deleted after publishing
We recorded 1 post on @feghtesad as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
18 October 2026
Most recent seen missing
18 October 2026
Median time before seen missing
24 hours
Seen missing in the last 30 days
1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 64 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 76 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
دیپلم من | My Diplom @mydiplom_ir · 44,359 Telegram ranks this channel #50 of 64 here — alongside 63 others — read 26 August 2026
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“فردای اقتصاد” (@feghtesad), 64,311 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/feghtesad.
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.