Iranian Economic Association
کانال رسمی انجمن اقتصاد ایران (انجمن اقتصاددانان ایران)
www.iea.org.ir - وبسایت
ارتباط با ما:
@bagheriisaeed
ایمیل:
[email protected]
Created
Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
4 measurements spanning 6 days, net +2. 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 4,685–4,688 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 04:18
4,688
+3
6 Aug 2026, 10:40
4,685
-1
6 Aug 2026, 03:52
4,686
no change
6 Aug 2026, 02:33
4,686
first reading
Engagement
21 posts held, back to 23 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.1%
avg views ÷ 4,688 subscribers
Avg views / post
896
2 posts measured
Reaction rate
0.335%
reactions ÷ views · ER floor
Posts in window
2
of 21 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 August 2026
Posts held
21 (23 September 2025 – 9 August 2026)
Views total
1,791
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:35 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
152
Videos
144
Links
380
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Video runtime
1m 13s
Average length
1m 13s
Measured directly from 1 video 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
163 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 56.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
92
56.4%
👍
36
22.1%
😢
20
12.3%
👎
14
8.59%
🤔
1
0.613%
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 21 of the 21 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 163reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 23 September 2025 to 9 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.
تورم پایدار در ایران: مسئله ای ساختاری مالیه ای و نه پولی
دکتر مهراب کیارسی
نرخهای بهره و محدودیتهای سیاست پولی
در یادداشت قبلی درباره پیشینه تئوریک اجرای سیاست پولی از طریق تغییرات در چیزی که اصطلاحاً «نرخ بهره» نامیده میشود صحبت کردم؛ نرخی که در واقع همان نرخ سیاستی در اختیار بانکهای مرکزی است. این نرخ در اقتصادهای پیشرفته نامهای متفاوتی دارد؛ برای مثال، در ایالات متحده به آن نرخ وجوه فدرال (federal funds ra…
نرخ بهره و قیمتها: چگونگی تاثیر تغییرات نرخ بهره بر قیمتها و اقتصاد کلان — یک سیر تاریخی فکری کوتاه
✍دکتر مهراب کیارسی
در طی ۶ -۷ سال گذشته که بحثها و مناظرههای اقتصاددانان ایران را سعی کرده ام دنبال کنم، بنظرم آمد که یک اختلاف نظر جدی میان آنها درباره اینکه سیاست پولی چگونه باید اجرا شود تا تورم به سطحی پایین، پایدار و معقول برسد و همین طور چگونه این تغییرات بر اقتصاد کلان تاثیر خواهند گذاشت وجود دارد. برخی …
مرتضی افقه، اقتصاددان:
🔹کاهش تورم مساوی کاهش قیمت ها نیست/ سود بانکی در برابر تورم ارزشی ندارد/ نمی توانیم انتظار ایجاد کنیم که با توافق قیمت ها کاهش پیدا کند.
لینک ویدئو کامل:
https://fararu.com/fa/news/983646
✅ انجمن اقتصاد ایران
@IR_Economists_A
بررسی اجمالی دیدگاههای هفت مکتب فکری موجود در مورد واگرایی بزرگ
مهراب کیارسی
اصطلاح «واگرایی بزرگ» (The Great Divergence) به شکاف پایدار و رو به گسترشی در عملکرد اقتصادی و سطح استاندارد زندگی اشاره دارد که میان اروپای غربی و بخش اعظم سایر نقاط جهان، بهخصوص چین، هند و دیگر مناطق پیشرفته آن زمان در آسیا، شکل گرفت.
عموماً گفته میشود که آغاز این واگرایی در اواخر قرن هجدهم و اوایل قرن نوزدهم بوده و روند آن در طول قر…
بحث درباره شکاف بهرهوری میان اروپا و آمریکا 4⃣
مهراب کیارسی
از این رو، میتوان دیدگاه دلانگ را تلاشی برای ایجاد پل میان دو طرف دانست. او هم با کروگمن موافق است که سطح زندگی در اروپا همچنان بالاست و روایتهای افول اغراقآمیز هستند، و هم نگرانی ABG درباره اهمیت نوآوری، رهبری فناوری و ظرفیت رشد آینده را جدی میگیرد. از نظر او، مسئله اصلی درک پیامدهای بلندمدت جایگاه ضعیفتر اروپا در مرز فناوری است، نه این فرض که ارو…
بحث درباره شکاف بهرهوری میان اروپا و آمریکا 2⃣
مهراب کیارسی
کروگمن همچنین تأکید میکند که بسیاری از شاخصهای رفاه در اروپا وضعیت مطلوبی دارند. اروپاییها بهطور متوسط امید به زندگی بالاتر، نظامهای تأمین اجتماعی گستردهتر، نابرابری کمتر، تعادل بهتر میان کار و زندگی، و اوقات فراغت بیشتری دارند. بنابراین تمرکز صرف بر GDP میتواند تصویری گمراهکننده از عملکرد اروپا ارائه دهد. نتیجه کلی او این نیست که اروپا از آمریک…
بحث درباره شکاف بهرهوری میان اروپا و آمریکا 1⃣
مهراب کیارسی
اخیراً بحث جالبی میان پل کروگمن از یک سو و فیلیپ آگیون (Philippe Aghion)، آنتونن برژو (Antonin Bergeaud) و لوئیس گاریکانو (Luis Garicano) از سوی دیگر شکل گرفته است (آگیون ۲۵ درصد نوبل اقتصاد امسال را بهخاطر مقاله مشهور سال ۱۹۹۲ خود با اقتصاددان کانادایی پیتر هویت، که او نیز ۲۵ درصد از جایزه را دریافت کرد، به دست آورد. نیمه دیگر جایزه به جوئل موکی یر ر…
بحث درباره شکاف بهرهوری میان اروپا و آمریکا 3⃣
مهراب کیارسی
کروگمن در پاسخ خود اهمیت نوآوری یا موفقیت چشمگیر شرکتهای فناوری آمریکایی را انکار نمیکند. بلکه استدلال میکند که منتقدانش در واقع موضوع بحث را تغییر دادهاند. به نظر او، خودش درباره سطح زندگی و رفاه اقتصادی صحبت میکرد، در حالی که آغیون و همکارانش عمدتاً درباره نوآوری و رهبری فناوری بحث میکنند. این دو موضوع به هم مرتبطاند، اما یکسان نیستند.
کروگمن ه…
ادامه
او تأکید میکند سهم آمریکا از تولید ناخالص داخلی جهان، بر اساس نرخ ارز بازار، از جنگ جهانی دوم تاکنون حدود ۲۵ درصد باقی مانده، برخلاف پیشبینیهای افول. در دهههای ۱۹۵۰ و ۱۹۶۰ بسیاری فکر میکردند شوروی پیشی خواهد گرفت. اقتصاددانانی مانند پل ساموئلسون چنین پیشبینیهایی داشتند و تاریخنگارانی مانند آنگوس مدیسون برآورد میکردند تولید شوروی به نصف یا دو سوم آمریکا برسد، اما ناکارآمدیهای داخلی در نهایت به فروپاشی…
دلار ما، مشکل شما!
مهراب کیارسی
کنت روگف اقتصاد مشهور امریکایی هاروارد و استاد بزرگ سابق شطرنج در کتاب اخیرش “دلار ما، مشکل شما” ناآرامیهای کنونی در نظام مالی جهانی را در چارچوب هفتاد سال نظم پولی پس از جنگ جهانی دوم و تا حدودی در بستر چند قرن تاریخ پولی بررسی میکند. روگف که همراه با کارمن راینهارت نویسنده کتاب معروف سال ۲۰۰۹ “اینبار متفاوت است”هم هست—کتابی که الگوهای تکرارشونده نکولهای دولتی، بحرانهای بانکی و …
لایحه بودجه 1405
✅ انجمن اقتصاددانان ایران
@IR_Economists_A
👍12
Showing the 12 most recent of 21 posts we hold for @IR_Economists_A. 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 — 441,893 of 1,345,403entries 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 5 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.
“انجمن اقتصاد ایران” (@IR_Economists_A), 4,688 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/IR_Economists_A.
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.