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 why it has no browse page of its own yet.
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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies 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 (5 of the pairs behind the counts below)
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. 1 of the 5 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 24 comparable posts for this entry, running 2 August 2026 to 7 August 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).
Across the whole group of 3, the earliest publisher we hold is @feghtesadradio. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
30 measurements spanning 35 days, net +1,938. 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 58,336–60,878 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
9 Sept 2026, 13:19
60,585
+31
6 Sept 2026, 03:38
60,554
+381
4 Sept 2026, 00:36
60,173
+31
2 Sept 2026, 17:55
60,142
+12
1 Sept 2026, 14:27
60,130
+36
31 Aug 2026, 14:58
60,094
+51
30 Aug 2026, 15:04
60,043
+96
29 Aug 2026, 11:28
59,947
+147
28 Aug 2026, 11:18
59,800
-3
27 Aug 2026, 13:16
59,803
+10
26 Aug 2026, 16:19
59,793
+18
25 Aug 2026, 15:05
59,775
+20
23 Aug 2026, 04:17
59,755
+366
21 Aug 2026, 13:08
59,389
+2
20 Aug 2026, 09:45
59,387
+45
19 Aug 2026, 11:53
59,342
+26
18 Aug 2026, 14:54
59,316
+7
17 Aug 2026, 12:48
59,309
+5
16 Aug 2026, 05:14
59,304
+243
14 Aug 2026, 18:14
59,061
first reading
Engagement
206 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.7%
avg views ÷ 60,585 subscribers
Avg views / post
11,300
161 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
161
of 206 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 9 September 2026
Posts held
206 (2 August 2026 – 9 September 2026)
Views total
1,826,390
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 20:36 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
≈9,320
Links
≈19,100
Lifetime counters from Telegram’s own channel header, read 9 September 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
4h 29m
Average length
2m 56s
Measured directly from 92 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.
«اوپک» در مسیر فروپاشی؟
تصمیم نفتی ونزوئلا چیست؟
◽️باور میکنی یه زمانی اوپک به قدری قدرتمند بود که با یک تحریم نفتی کاری کرد که مردم با اسب به محل کار خود بروند. هدف چی بود؟ آیا اوپک، با بزرگترین قدرتنمایی خودش، ناخواسته در مسیر فروپاشی قرار گرفت؟ ونزوئلا که در راس طراحان سازمان اوپک قرار داشته، چه در سر دارد؟
▪️برای دریافت فایل کامل مجله هفتگی «فردای بازارها» اینجا کلیک کنید
◻️رسانه تصویری فردای اقتصاد⬇️
@Fegh…
سه علامت هشدار از کاهش قدرت خرید ملک*
◽️بودجه خریداران در اکثر نقاط شهر به ویژه در محدوده زرد رنگ با تورم حرکت نمیکند. نمودار فوق ترکیب بودجه خریداران را در مناطق ۲۲ گانه شهر تهران نمایش میدهد. همانطور که در این نمودار مشاهده میشود همچنان در اکثر نقاط شهر عمده طرف تقاضا بودجهای کمتر از ۱۰ میلیارد تومان برای خرید خانه دارد. بودجه بیش از ۴۰ میلیارد تومان (رنگ زرد) و بیش از ۸۰ میلیارد تومان (قرمز رنگ) صرفاً در شش م…
بورس داغ؛ بازده بیشتر یا آمادگی برای خروج بهموقع؟
واچلیست با علیتسنیمی
◽️ شاخص کل با شتابی کمسابقه بالا آمده، اما پرسش اینجاست: بازار دقیقاً چه چیزی را قیمتگذاری میکند؟
فقط رشد اسمی ناشی از تورم و دلار را، یا ریسکهایی را هم که در نیمه دوم میتوانند به حاشیه سود شرکتها، جریان تجارت، انرژی و حتی رفتار سیاستگذار فشار وارد کنند؟
◽️در «واچلیست» امروز، ابتدا از همین نقطه شروع کردیم؛
اینکه کسی از رشد بازار ن…
راز ثروتمند شدن در اقتصاد تورمی
محمد نوربخش، کارشناس بازار سرمایه:
◽️در اقتصاد تورمی، هر افزایش قیمتی به معنای ثروتمندشدن نیست؛ ممکن است دارایی شما سه برابر شود، اما داراییهای دیگر چهار برابر شده باشند.
◽️برای ساختن ثروت، فقط تحلیل تولید و فروش شرکتها کافی نیست. باید جریان تورم، نقدینگی و متغیرهای پولی را شناخت؛ همان نیروهایی که مسیر اصلی بازارها را میسازند. اهرم هم تنها زمانی معنا دارد که این اطلاعات را درست پر…
پول به سمت مس میرود؟
◽️بازار فلزات طی ماه های اخیر متفاوت رفتار کرده ؛ هر فلز داستان خودش را دارد. اما چرا مس بیشتر از بقیه توجهها را به خود جلب کرده است؟ پشت این تغییر مسیر، یک اتفاق مهم در حال شکلگیری است.
▪️برای دریافت فایل کامل مجله هفتگی «فردای بازارها» اینجا کلیک کنید
◻️رسانه تصویری فردای اقتصاد⬇️
@Feghtesad
بازار به آینده هوش مصنوعی
خوشبین است یا بدبین؟
◽️ورق برای هوش مصنوعی برگشته؟ بازار یک بار عقب کشید؛ اما حالا انگار داستان داره عوض میشه. چه چیزی تغییر کرده؟
▪️برای دریافت فایل کامل مجله هفتگی «فردای بازارها» اینجا کلیک کنید
◻️رسانه تصویری فردای اقتصاد⬇️
@Feghtesad
بورس ارزان است؛ اما به چه قیمتی؟
بورسان با مهدی طحانی
◽️تورم میتواند فروش شرکتها را رکوردشکن کند، بیآنکه مقدار بیشتری فروخته باشند؛ همانطور که رشد نرخ ارز میتواند ارزش جایگزینی کارخانهها را بالا ببرد، بیآنکه توان سودسازی آنها بهتر شده باشد. مسئله بورس در نیمه دوم سال، فاصله میان رشد اسمی داراییها و ظرفیت واقعی بنگاهها برای تولید، فروش و حفظ حاشیه سود است.
◽️علی صادقین، کارشناس بازار سرمایه، در این گفتوگو…
چرا ساختوساز در تهران قفل شده؟
◽️این روزها، تصمیمگیری برای سرمایهگذاری در بازار ملک، بیش از هر زمان دیگری پیچیده شده است. اما پشت این پیچیدگی، یک واقعیت مهم نهفته است که کمتر به آن پرداخته میشود.
◽️چرا سازندگان در بخش عمدهای از تهران از ادامه ساختوساز بازماندهاند؟ پاسخ به یک مفهوم ساده اما سرنوشتساز بازمیگردد: «تقابل هزینههای تولید با توان خرید». اما پیامدهای این موضوع، برای سالهای آینده عرضه مسکن، بسیار…
جنگ چگونه نقشه تجارت معدن را تغییر داد؟
میز معدن و فولاد با اجرای زهرا مجتهد
🔗مشاهده ویدیو در وب سایت
🔗مشاهده ویدیو در آپارات
🔗مشاهده ویدیو در یوتیوب
🎙نسخه صوتی
◽️کیوان جعفریطهرانی، تحلیلگر ارشد معدن و فولاد در حوزه بینالملل، معتقد است بحرانهای ژئوپلیتیک اخیر منطق تجارت جهانی را تغییر دادهاند؛ بهطوری که امروز امنیت و قابلیت اتکای مسیر حملونقل، در کنار هزینه، به یک متغیر اقتصادی تعیینکننده تبدیل شده است.
◽️د…
سود ساختوساز در سه لایه مختلف تهران
◽️یک تقسیمبندی ساده قیمت مسکن تهران را در سه گروه طبقهبندی میکند: شمال محور همت، حد فاصل بزرگراه همت تا خیابان انقلاب و نهایتا جنوب محور انقلاب. در نمودار حرارتی بالا که قیمت آپارتمان نوساز در سطح شهر را به تصویر کشیده، گروه اول تقریبا قرمز رنگ، گروه دوم نارنجی و نهایتاً گروه سوم که نماینده بیش از نیمی از شهر است با رنگ زرد نمایش داده شده است. در قسمت قرمز رنگ به طور سنتی حد…
Showing the 12 most recent of 206 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 2 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
7 September 2026
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 67 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.
BlackFeri @blackferi · 2,304 (as read 26 August 2026)#84
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 · 47,071 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“فردای اقتصاد” (@feghtesad), 60,585 subscribers as measured 9 September 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.