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Channel

هفته‌نامه تجارت‌فردا

@tejaratefarda

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

14,397subscribers

+44 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001002291808
TypeChannel
Username@tejaratefarda
Descriptionکانال رسمی هفته نامه تجارت فردا صاحب امتیاز: شرکت دنیای اقتصاد تابان مدیر مسئول: علیرضا بختیاری سردبیر: محمد طاهری سایت: Www.Tejaratefarda.com
Created11 October 2015 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded5 August 2026
Last confirmed live12 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/tejaratefarda

Topic

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 19 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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 4 other registered channels. This entry also sits inside a group of 4 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)
Posted firstThenOverlapGap
@tejaratefarda/10929 · this entry6 Nov 2026, 10:22 UTC@ecoiran_webtv/541596 Nov 2026, 10:27 UTC1.005 minutes
@tejaratefarda/10905 · this entry31 Oct 2026, 04:32 UTC@Eghtesadnews_com/37277931 Oct 2026, 04:35 UTC1.002 minutes
@tejaratefarda/10936 · this entry7 Nov 2026, 15:23 UTC@Eghtesadnews_com/3737917 Nov 2026, 16:20 UTC1.0058 minutes
@tejaratefarda/10901 · this entry29 Oct 2026, 19:41 UTC@den_ir/16121329 Oct 2026, 20:36 UTC1.0055 minutes
@tejaratefarda/10936 · this entry7 Nov 2026, 15:23 UTC@den_ir/1619047 Nov 2026, 17:06 UTC1.001.7 hours
@tejaratefarda/10643 · this entry28 Aug 2026, 15:34 UTC@Bestdiplomacy/3151031 Aug 2026, 09:22 UTC0.993 days
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
ChannelMatching postsText overlapTypical gapPublished first
@ecoiran_webtv39 (8/8 hand-verifiable sample passed)1.0021 minutesthis entry (23–16)
@Eghtesadnews_com25 (8/8 hand-verifiable sample passed)1.0049 minutesthis entry (13–12)
@den_ir17 (8/8 hand-verifiable sample passed)1.0062 minutesthis entry (9–8)
@Bestdiplomacy5 (5/5 hand-verifiable sample passed)0.973 daysthis entry (5–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 171 comparable posts for this entry, running 2 August 2026 to 13 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 4 channels, the one whose matching posts we hold earliest is @tejaratefarda — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 14 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 4 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.

Growth

14,33314,40214,367.514,3975 August 202612 November 2026
62 measurements spanning 99 days, net +44. 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 14,323–14,412 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
12 Nov 2026, 06:4614,397-5
10 Nov 2026, 03:1014,402+11
8 Nov 2026, 16:1914,391-4
7 Nov 2026, 09:4414,395+10
6 Nov 2026, 10:0514,385-3
5 Nov 2026, 07:1914,388-2
4 Nov 2026, 03:3714,390-6
3 Nov 2026, 06:5914,396-2
2 Nov 2026, 10:2114,398-2
1 Nov 2026, 12:4914,400+2
31 Oct 2026, 14:1014,398+5
30 Oct 2026, 11:1914,393+35
28 Oct 2026, 07:4614,358-4
27 Oct 2026, 08:1614,362-4
26 Oct 2026, 09:2714,366-3
25 Oct 2026, 09:2014,369+3
24 Oct 2026, 09:3614,366+11
23 Oct 2026, 12:5414,355+1
22 Oct 2026, 15:0514,354-7
20 Oct 2026, 02:5914,361first reading

Engagement

180 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.9%
avg views ÷ 14,397 subscribers
Avg views / post
2,000
55 posts measured
Reaction rate
0.242%
reactions ÷ views · ER floor
Posts in window
55
of 180 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 13 November 2026
Posts held180 (2 August 2026 – 13 November 2026)
Views total110,015
Reactions total266
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 20:37 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
≈3,680
Videos
≈366
Links
≈3,690

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. 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
3h 23m
Average length
18m 28s

Measured directly from 11 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

1,126 reactions across 180 posts, in 6 distinct kinds. The most used accounts for 58.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍66258.8%
❤27024.0%
👎12611.2%
👏433.82%
😢242.13%
🙏10.089%

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 180 of the 180 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 1,126 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 180 most recent posts we hold, published 2 August 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 9 of 55 posts held from the last 30 days (16.4%) 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).

13 Nov 2026, 17:38 UTC302 views2 reactionsread 13 November 2026
Forwarded from @ecoiran_webtvVideo

📹 داستان میلیاردرهای ورشکسته 🎙نسخه صوتی ▫️ورشکستگی در اقتصادهای مدرن صرفاً به معنای پایان فعالیت یک بنگاه اقتصادی نیست؛ بلکه قانونی است که باید میان حقوق طلبکاران، حمایت از بدهکاران، حفظ سرمایه‌های اقتصادی و جلوگیری از نابودی کسب‌وکارها تعادل برقرار کند. ▫️اما قانون ورشکستگی در ایران تا چه اندازه با نیازهای امروز اقتصاد سازگار است؟ مسئوليت اعلام ورشکستگی با تاجر ، طلبکاران و یا دادستان است؟ قانون ورشکستگی در یک م…

❤2

13 Nov 2026, 09:27 UTC≈8,770 views5 reactionsread 13 November 2026
Photo

پاسخ به ۵۰ پرسش مهم درباره ایران ویژه‌نامه تحلیل عملکرد اقتصاد ایران 🔹️️️️️️گروه رسانه‌ای دنیای‌اقتصاد در ویژه‌نامه تحلیلی «گام معلق» سراغ پرسش‌هایی رفته که ذهن خانواده‌ها، صاحبان کسب‌وکار و تصمیم‌گیران را مشغول کرده است: چه آینده‌ای پیش روی ایران قرار دارد و چه تصمیم‌هایی می‌تواند مسیر آن را تغییر دهد؟ 🔹️️️️️️اقتصاددانان، جامعه‌شناسان، روزنامه‌نگاران و دیپلمات‌ها در این مجموعه ۳۲۰صفحه‌ای که روز سه‌شنبه منتشر می‌ش…

👍4👎1

11 Nov 2026, 14:33 UTC846 views4 reactionsread 13 November 2026
Forwarded from @Eghtesadnews_comPhoto

🔻چهار نگرانی درباره بروکراسی در ایران | نامداری: عامل مهم تشدید قفل‌شدگی بوروکراسی، ساختار ناموزون توزیع قدرت در ایران است 🔹دستگاه اداره کشور ممکن است همچنان کار کند، اما توان تصمیم‌گیری آن به‌تدریج تحلیل برود. تفاوت دیدگاه عباس آخوندی درباره بی‌دولتی و تاکید سیدمحمد طبیبیان بر تاب‌آوری بوروکراسی را می‌توان از همین زاویه دید 🔹کنار هم گذاشتن این دو دیدگاه، چهار نگرانی مرتبط را آشکار می‌کند 🔹نگرانی نخست،فرسایش قدرت …

👍3❤1

11 Nov 2026, 13:56 UTC747 views3 reactionsread 13 November 2026
Photo

📌نظریه‌های ماندگار نظریه‌های اقتصادی چگونه نگاه ما را به جهان تغییر دادند؟ سالگرد انتشار 10 مقاله اثرگذار اقتصادی در اکتبر و نوامبر فرصتی است برای ایده هایی که از هزینه مبادله و کالاهای عمومی تا رشد درون‌زا و تجارت بین‌الملل را توضیح می‌دهند. این اینفوگرافیک نشان می‌دهد هر نظریه در پاسخ به چه مسئله‌ای مطرح شد و چرا هنوز برای فهم تصمیم‌های دولت‌ها، بنگاه‌ها و خانوارها اهمیت دارد. #تجارت_فردا @tejaratefarda

❤3

11 Nov 2026, 12:35 UTC760 views4 reactionsread 13 November 2026

⭕️ بهای بیماری سلامت چگونه سرنوشت درآمدی افراد را تغییر می‌دهد؟ ✍🏻 آزاده خرمی‌مقدم/ نویسنده نشریه 🔹وقتی از پیامدهای اقتصادی بیماری صحبت می‌کنیم، معمولاً هزینه دارو، درمان و مراجعه به مراکز پزشکی به ذهن می‌رسد. اما هزینه اقتصادی بیماری بسیار فراتر از مخارج درمان است. بیماری ممکن است توانایی کار کردن را کاهش دهد، احتمال اشتغال را پایین بیاورد، فرصت‌های شغلی را محدود کند و حتی بر احتمال زنده ماندن فرد اثر بگذارد. در …

❤2👍1👎1

10 Nov 2026, 10:38 UTC752 views4 reactionsread 13 November 2026

⭕️ حق مالی یا اهرم خروج چرا ساختار کنونی مهریه نیاز به اصلاح دارد؟ ✍🏻نازنین عزیزمحمدی/ پژوهشگر حقوق 🔹مجلس شورای اسلامی در اول شهریور ۱۴۰۵ طرحی را تصویب کرد که درصدد کاهش دامنه اعمال ضمانت اجرای ماده ۳ قانون نحوه اجرای محکومیت‌های مالی از 110 سکه به 14 سکه بود؛ اصل دین مهریه به 14 سکه محدود نمی‌شد. این طرح همچنین برای برخی محکومان مالی، نظارت الکترونیکی را به‌جای زندان پیش‌بینی می‌کرد. البته موضوع این طرح فقط سکه و…

👍3👎1

10 Nov 2026, 08:08 UTC600 views3 reactionsread 13 November 2026

⭕️ مانع نامرئی چرا توسعه دیجیتال اشتغال زنان را افزایش نداد؟ ✍🏻 مینا علیزاده/ نویسنده نشریه 🔹پژوهش فاطمه‌زهرا صمدیان، محبوبه فراهتی و مجید مداح در فصلنامه «مطالعات زیست‌بوم اقتصاد نوآوری» با بررسی داده‌های ۳۱ استان در سال‌های ۱۳۹۵ تا ۱۴۰۱ نشان می‌دهد، توسعه شاخص اقتصاد دیجیتال در برآورد آنها، با کاهش اشتغال زنان همراه بوده است. درحالی‌که آموزش بالاتر زنان، این رابطه منفی را تعدیل کرده است. این نتیجه، ضرورت بررسی ش…

👍3

10 Nov 2026, 07:18 UTC543 views5 reactionsread 13 November 2026
Forwarded from @eco_philo_bookPhoto

چگونه خود و جهانمان را بشناسیم؟ این کتاب‌های ارزشمند از مسیرهای گوناگون فلسفه و جامعه‌شناسی، به پرسشی مشترک می‌رسند: انسان چگونه خود، جامعه و جایگاهش در جهان را می‌فهمد؟ از خود بیگانگی : نویسنده: راهل یگی/ مترجم: احمد تدین مفاهیم کلیدی در اندیشه هابرماس : نویسنده: اندرو ادگار/ مترجم: محمدرضا غلامی دعوت به جامعه‌شناسی : نویسنده: زهره روحی سوبژکتیویته در ادبیات و فلسفه : نویسنده: دونالد هال/ مترجمان: بختیار سجادی، …

👍4❤1

10 Nov 2026, 06:43 UTC619 views2 reactionsread 13 November 2026
Photo

📌 داستان‌های دنیای اقتصاد برای خرید این مجموعه با 10 درصد تخفیف، با شماره تلفن 02152189186 تماس بگیرید. #تجارت_فردا @tejaratefarda

👍2

10 Nov 2026, 05:35 UTC667 views5 reactionsread 13 November 2026

⭕️ رنج پشیمانی پیامدهای تعویق تصمیم‌گیری در گفت‌وگو با فرشاد فاطمی ✍🏻 سوگل دانایی/ نویسنده نشریه 🔹مغز ما از لحاظ تکاملی برای تحلیل شرایط ریسکی به اندازه شرایط قطعی آموزش ندیده است. به همین دلیل اول، تصمیم‌گیری در شرایط غیرقطعی هزینه تصمیم‌گیری را برای فرد افزایش می‌دهد. نکته دوم این است که ما انسان‌ها در مواجهه با عدم قطعیت عموماً ریسک‌گریز هستیم. البته افرادی هم هستند که در شرایط خاص بیش از دیگران ریسک می‌کنند. ب…

👍3❤1👎1

9 Nov 2026, 16:38 UTC575 views3 reactionsread 13 November 2026
Forwarded from @den_irVideo

اقتصاد جهان تا کجا تاب می‌آورد؟ ✍️زهرا فخری 🔹جنگ‌ها معمولا در مرزهای جغرافیایی خود باقی نمی‌مانند. اختلال در مسیرهای انتقال انرژی و تجارت می‌تواند از بازار نفت آغاز شود و به هزینه تولید، تورم، نرخ بهره و حتی بازار بدهی دولت‌ها برسد. 🔹تحولات سال‌های اخیر، از جنگ اوکراین تا درگیری‌های خاورمیانه، زنجیره‌ای از فشارها را بر اقتصاد جهانی ایجاد کرده است. 🔹در این میان، افزایش قیمت انرژی تنها بخشی از ماجراست؛ دولت‌ها و با…

❤2👍1

9 Nov 2026, 16:25 UTC626 views1 reactionsread 13 November 2026
Forwarded from @Eghtesadnews_comPhoto

🔻هزینه موکول کردن تصمیم‌ها به آینده | فاطمی: جوانان کم درآمد بیشتر دچار رنج پشیمانی می‌شوند | به تعویق انداختن تصمیم‌ها همیشه اشتباه نیست فرشاد فاطمی،اقتصاددان و استاد دانشگاه: 🔹تصمیم‌گیری در شرایط عدم قطعیت برای مغز ما سخت است. مغز ما از لحاظ تکاملی برای تحلیل شرایط ریسکی به اندازه شرایط قطعی آموزش ندیده است 🔹نکته دوم این است که ما انسان‌ها در مواجهه با عدم قطعیت عموماً ریسک‌گریز هستیم 🔹فرصت‌هایی است که در زندگی…

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Showing the 12 most recent of 180 posts we hold for @tejaratefarda. 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 recorded as deleted after publishing

We recorded 1 post on @tejaratefarda 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
11 November 2026
Most recent seen missing
11 November 2026
Median time before seen missing
35 hours
Seen missing in the last 30 days
1

Forward network

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 23 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.

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.

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.

آخرین خبرها
@akharinnkhabarha · 64,755
Telegram ranks this channel #13 of 61 here — alongside 60 others — read 29 August 2026
اقتصاد به زبان ساده
@eghtesaderooz · 57,992
Telegram ranks this channel #16 of 95 here — alongside 94 others — read 22 August 2026
Renani Mohsen / محسن رنانی
@Renani_Mohsen · 67,551
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 20 August 2026
شبکه توسعه
@I_D_Network · 38,547
Telegram ranks this channel #27 of 98 here — alongside 97 others — read 31 August 2026
اكونوميست فارسی
@economistfarsi · 22,680
Telegram ranks this channel #28 of 96 here — alongside 95 others — read 20 September 2026
چکیدا | Chekida
@chekida_com · 22,427
Telegram ranks this channel #31 of 72 here — alongside 71 others — read 19 September 2026
ایکونیتور - خبرخوان‌رسمی اقتصادی
@econator · 549,482
Telegram ranks this channel #46 of 87 here — alongside 86 others — read 11 September 2026
پادکست دغدغه ایران - کانال رسمی
@dirancast_official · 20,564
Telegram ranks this channel #47 of 94 here — alongside 93 others — read 26 September 2026
جمع مدیران نامدار ایران
@excellentmanagers · 27,208
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 11 September 2026
مطالعات اقتصادى بامداد
@bamdad_institute · 23,604
Telegram ranks this channel #50 of 94 here — alongside 93 others — read 18 September 2026
کارزار
@karzarnet · 18,825
Telegram ranks this channel #53 of 97 here — alongside 96 others — read 4 October 2026
فیلترشکن | وی پی ان | فیلتر شکن
@vpn_accounti · 89,462
Telegram ranks this channel #54 of 62 here — alongside 61 others — read 16 August 2026
اتاق بازرگانی تهران
@TehranChamber · 25,385
Telegram ranks this channel #71 of 93 here — alongside 92 others — read 15 September 2026
روزنامه دنیای اقتصاد
@den_ir · 74,767
Telegram ranks this channel #72 of 98 here — alongside 97 others — read 19 August 2026
آواز استاد شجریان
@ostad_shajariyan · 45,721
Telegram ranks this channel #79 of 81 here — alongside 80 others — read 27 August 2026
خوانش کتاب برای انسان خردمند
@homosapiensfa · 44,392
Telegram ranks this channel #80 of 90 here — alongside 89 others — read 28 August 2026
سایت خبری-تحلیلی کلمه
@kaleme · 47,837
Telegram ranks this channel #95 of 98 here — alongside 97 others — read 26 August 2026

This channel appears in 17 seed channels' Telegram-generated recommendation lists 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“هفته‌نامه تجارت‌فردا” (@tejaratefarda), 14,397 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/tejaratefarda.

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.