Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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.
Growth
53 measurements spanning 82 days, net -9,364. 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 33,093–45,267 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)
Subscribers
Change
29 Oct 2026, 01:40
34,498
-59
28 Oct 2026, 03:35
34,557
-44
27 Oct 2026, 01:58
34,601
-23
25 Oct 2026, 22:47
34,624
-59
24 Oct 2026, 22:30
34,683
-39
23 Oct 2026, 21:34
34,722
-84
22 Oct 2026, 23:40
34,806
-36
21 Oct 2026, 19:41
34,842
-112
20 Oct 2026, 12:56
34,954
-86
19 Oct 2026, 13:35
35,040
-3
18 Oct 2026, 16:20
35,043
-48
17 Oct 2026, 18:09
35,091
-33
16 Oct 2026, 16:20
35,124
-64
15 Oct 2026, 16:19
35,188
-48
14 Oct 2026, 14:40
35,236
-67
13 Oct 2026, 07:19
35,303
-205
9 Oct 2026, 00:57
35,508
-350
4 Oct 2026, 17:19
35,858
-686
26 Sept 2026, 21:15
36,544
-774
19 Sept 2026, 15:21
37,318
first reading
Engagement
31 posts held, back to 26 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 152 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.75%
avg views ÷ 34,498 subscribers
Avg views / post
1,290
11 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
11
of 31 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 28 October 2026
Posts held
31 (26 July 2026 – 28 October 2026)
Views total
14,233
Reactions total
196
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Oct 2026, 05:02 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
282
Links
735
Lifetime counters from Telegram’s own channel header, read 29 October 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.
Reaction mix
427 reactions across 31 posts, in 7 distinct kinds. The most used accounts for 45.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
193
45.2%
👏
107
25.1%
👍
73
17.1%
💯
24
5.62%
🤣
23
5.39%
😈
5
1.17%
🍾
2
0.468%
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 31 of the 31 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 427 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 26 July 2026 to 28 October 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.
🎁 یه سورپرایز برای رفقای اکونومیست فارسی
ما که هر روز داریم از بدبختی اقتصاد جهان، دعوای این و اون، جنگهای تجاری و اینکه هوش مصنوعی قراره شغل همهمونو بگیره میخونیم، گفتیم قبل از اینکه AI نونمون رو آجر کنه، حداقل یه بار ما ازش نون دربیاریم! 😂
البته نه برای خودمون، برای شما! ❤️
قضیه از این قراره که من اشتراک Claude Max دارم و یه تصمیم گرفتم که احتمالاً چند روز دیگه پشیمون میشم! 😂
گفتم چرا فقط خودم ازش استفاده کن…
🤔اگه هوش مصنوعی قرار بود یه کار رو کاملاً رایگان برات انجام بده، چی انتخاب میکردی؟ 🎁
💻طراحی سایت یا اپلیکیشن25%
🤖ساخت ربات و اتوماسیون27%
📚تحقیق و کارهای دانشگاهی21%
طراحی و تولید محتوای خلاقانه🎨12%
📊 تحلیل داده و کارهای اداری24%
🚀یه ایده عجیبوغریب تو سرمه!25%
The shares total 134%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
🤖 اگر هوش مصنوعی شغلتان را بگیرد، فقط حقوقتان را از دست نمیدهید
بعضی از کسانی که هوش مصنوعی میسازند، خودشان هم از پیامدهایش نگراناند. آنتروپیک در ۱۸ اکتبر اعلام کرد قصد دارد ۵٪ سهامش را به صندوقی عامالمنفعه اختصاص دهد؛ صندوقی که شاید در آینده به آسیبدیدگان تحولات اقتصادی پول بدهد. یک روز بعد، ایلان ماسک وعده داد به هر کودک آمریکایی یک سهم اسپیسایکس بدهد.
هنوز نشانهای از «آخرالزمان شغلی» ناشی از هوش مصنوعی دی…
🇪🇺 رنج اروپای لیبرال؛ میانهروها بهای ناکامیشان را میپردازند
خشم از کاهش دستمزد واقعی، ناکارآمدی پارلمان و وضع موجود؛ جورج دنجرفیلد، روزنامهنگار بریتانیاییآمریکایی، با چنین توصیفی از «مرگ عجیب انگلستان لیبرال» پیش از جنگ جهانی اول نوشت. امروز هم خیابانهای فرانسه پر از خشم است: از دولت ناکارآمد، سیاستمداران میانهروی درمانده، گرانی و اقتصادی که درست کار نمیکند. برای بعضیها، خودِ سیاست میانهرو دیگر پذیرفتنی نی…
💥 آیا صنعت تراشه در آستانه سقوطی بزرگ است؟
بیش از چهار دهه است که صنعت نیمهرسانا با دو قانون پیش میرود: تعداد ترانزیستورهای روی تراشه بیشتر میشود و هر رونقی سرانجام به رکود میرسد. قانون اول همچنان برقرار است؛ پردازندههای پیشرفته هوش مصنوعی بیش از ۲۰۰ میلیارد ترانزیستور دارند و صنعت امیدوار است تا پایان دهه به یک تریلیون برسد. اما قانون دوم سرمایهگذاران را نگران کرده است.
هوش مصنوعی اشتهایی سیریناپذیر برای تر…
🧠 دگرگونی ریاضیات با هوش مصنوعی؛ نقطه عطفی برای علم
سال ۲۰۰۰، آلن کن، ریاضیدان برجسته، میگفت تصور اینکه کامپیوترها از ریاضیات پیشی بگیرند اشتباه است. آن زمان برای حل هرکدام از هفت «مسئله هزاره» یک میلیون دلار جایزه تعیین شده بود؛ مسائلی که به گفته او، کامپیوترها هیچ راهی به آنها نداشتند.
اما کامپیوترها پیشرفت کردند. به گزارش اکونومیست، OpenAI اوایل سپتامبر مدعی شد یکی از مدلهای داخلیاش مسئله «وجود و همواری ناو…
🔬 عصر تازه علم در آمریکا؛ آینده نوآوری بیرون از دانشگاههاست؟
آمریکا پس از جنگ جهانی دوم، با پشتیبانی دولت از پژوهشهای بنیادی در دانشگاهها و آزمایشگاههای ملی، انسان را به ماه فرستاد، کامپیوتر مدرن را ساخت و پیشگام تعیین توالی ژنوم انسان شد. یافتههای دارای ظرفیت تجاری هم راهشان را به شرکتها پیدا میکردند. اما حالا نشانههایی از اختلال در این ماشین نوآوری دیده میشود.
منتقدان میگویند وقتی چند کمیته درباره بخش ب…
🧨 آیا بمب اوراق قرضه منفجر میشود؟
بانکدارها قدیمها میگفتند کشورها برخلاف شرکتها ورشکست نمیشوند. این شعار دلگرمکننده را تکرار کردند تا در دههی ۱۹۸۰ موجی از کشورهای آمریکای لاتین نتوانستند قرضشان را پس بدهند. آیا شوکی مشابه باد غرور کشورهای ثروتمند را هم خالی میکند؟ ❤️
پنج سال پیش قرض گرفتن آنقدر ارزان بود که بدهی دولتی تقریباً مجانی به نظر میرسید. امروز سرمایهگذاران اوراق قرضه را دستهدسته میفروشند و خیل…
🧠 نجات بشریت با اکسل!
هاینریش هاینه میگفت اندیشه مثل برق است و عمل مثل رعد؛ اول برق میزند، بعد صدایش میآید ⚡ «نوعدوستی مؤثر» هم همینطور بود. فلسفهای که فیلسوفهای آکسفورد پختند، خیلی سریع از برج عاج رسید به راهروهای قدرت. حالا دره سیلیکون پر از طرفدارانش است، شرکتهای بزرگ هوش مصنوعی را آنها میگردانند و دولت ترامپ هم ازشان میترسد.
🪖 پنتاگون قسم خورده «آمریکا هرگز کشوری نوعدوست مؤثر نمیشود»، وزیر جنگ اسمش …
کارزار تازه کارآفرینی در آمریکا؛ این بار با کمک هوش مصنوعی
این روزها آمریکا بیش از هر زمان دیگری به بهشت کارآفرینها تبدیل شده است ؛ جایی که از فروشندههای اتسی گرفته تا حسابدارهای شهرهای کوچک، با تکیه بر هوش مصنوعی راحتتر از گذشته برای خودشان کسبوکار راه میاندازند .
نمونهاش زکری دان است ؛ مردی که چند سال پیش در شهری کوچک در جورجیا خودرو میفروخت، اما وقتی دید فقط دیگران را ثروتمند میکند، کارش را رها کرد و با …
❤20👍2💯1
Showing the 12 most recent of 31 posts we hold for @TheEconomist_Farsi. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
🤔اگه هوش مصنوعی قرار بود یه کار رو کاملاً رایگان برات انجام بده، چی انتخاب میکردی؟ 🎁
💻طراحی سایت یا اپلیکیشن25%
🤖ساخت ربات و اتوماسیون27%
📚تحقیق و کارهای دانشگاهی21%
طراحی و تولید محتوای خلاقانه🎨12%
📊 تحلیل داده و کارهای اداری24%
🚀یه ایده عجیبوغریب تو سرمه!25%
The shares total 134%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 31 most recent posts we hold, published 26 July 2026 to 28 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 1 registered channel — 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 29 October 2026 — this
entry's latest reading, not the date you are reading this.
“اکونومیست فارسی” (@TheEconomist_Farsi), 34,498 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/TheEconomist_Farsi.
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.