5 measurements spanning 7 days, net +4. 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 8,557–8,567 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 05:18
8,566
+4
10 Aug 2026, 03:40
8,562
+4
6 Aug 2026, 18:26
8,558
-4
6 Aug 2026, 03:02
8,562
no change
6 Aug 2026, 00:30
8,562
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 13 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.9%
avg views ÷ 8,566 subscribers
Avg views / post
936
31 posts measured
Reaction rate
0.455%
reactions ÷ views · ER floor
Posts in window
31
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 12 August 2026
Posts held
31 (26 July 2026 – 12 August 2026)
Views total
29,004
Reactions total
132
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 16:12 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
Video runtime
1h 07m
Average length
4m 29s
Measured directly from 15 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
127 reactions across 29 posts, in 11 distinct kinds. The most used accounts for 39.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
50
39.4%
❤
26
20.5%
🙏
22
17.3%
👎
8
6.30%
🏆
6
4.72%
👏
5
3.94%
😢
4
3.15%
👌
2
1.57%
🤡
2
1.57%
🤔
1
0.787%
🤣
1
0.787%
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 132reactions 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 12 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.
🔲 عشق خودرو!
✍️حامد پاک طینت
از ابتدای سال تا امروز چیزی در حدود ۱۷ هزار دستگاه خودرو به کشور وارد شده است.
در مقیاس سالانه در همین حوالی:
در افغانستان با جمعیتی نصف ما، ۸۰ هزار خودرو
در عراق با جمعیت نصف ما، ۳۰۰ هزارخودرو
در اردن ۱۱ میلیون نفری، ۱۰۰ هزار خودرو
و در ترکیه با جمعیتی حدود ما، ۴۰۰ هزار خودرو
به کشور وارد شده است.
کمی اما اگر با خودمان خلوت کنیم این پرسش مطرح میشود که ملت ایران اساسا واردات خودرو ب…
🔴 ژئوپلیتیک تورم
🔴 ایران چگونه بر افزایش تورم جهانی تاثیر میگذارد؟
✍🏻 سعید ابوالقاسمی
🔹کوچکترین تنش در خلیج فارس، پیش از آنکه از طریق رسانهها اطلاعرسانی شود، روی قیمت بنزین، هزینه حملونقل و حتی سبد خرید مردم در آن سوی جهان تاثیر میگذارد. این جمله شاید اغراقآمیز بهنظر برسد، اما نتیجه تحلیلی است که در گزارش سالانه اقتصادی ژوئن 2026 که از سوی بانک تسویهحسابهای بینالمللی (BIS) تهیه شده، انعکاس پیدا کرده …
🔵 ۳۲ درصد آب توزیعشده در تهران، در شبکه هدر میرود
💬دکتر هاشم اورعی، عضو هیات علمی دانشگاه شریف:
🗣 در تهران، ۳۲ درصد آب توزیعشده هدر میرود (بهدلیل برداشت غیرقانونی، فرسودگی شبکه و ...) و در بخش کشاورزی نیز بهرهوری آب بهشدت پایین است؛ راهکارها شامل اصلاح الگوی کشت، توسعهٔ کشت فراسرزمینی و استفاده از فناوری روز برای افزایش بهرهوری است.
🗣 در بخش شهری، نیاز به سرمایهگذاری در اصلاح شبکهٔ آبرسانی و استفاده از آ…
🔴 دکترمرتضی افقه:
🔴شاخص فلاکت ۷۵ درصدی و یک واقعیت تلخ!
در سالهای ابتدایی انقلاب بارها شعار رهایی اقتصاد از وابستگی به نفت را دادیم اما در عمل اتکای کشور به خامفروشی نفت بیشتر شد.
در دوران ریاست جمهوری احمدی نژاد، برخی اقدامات و اظهارنظرهای نسنجیده ، بهانهای شد تا تحریم ها علیه کشورمان چندین برابر شود.
زمانی که دستیابی به پیشرفت و رفاه اقتصادی در صدر اولویتها قرار نداشته باشد، چگونه میتوان دستاوردی جز گست…
🔵 تورم؛ دیو پلید اقتصاد ایران و ریشههای مالی آن
👤 دکتر تیمور رحمانی؛ عضو هیات علمی دانشکده اقتصاد دانشگاه تهران
✍️ سال ۱۴۰۴ نقطه عطفی در تاریخ اقتصاد ایران است و تورم، مسئله اول اقتصاد محسوب میشود. هیچ بهانهای (نظیر کمک به رشد اقتصادی) برای عدم مهار تورم پذیرفته نیست.
✍️ وضعیت فعلی که در برخی استانهای محروم به تورم سهرقمی رسیده، عملاً آسیبهای ابرتورم را به همراه دارد. تاکنون حضور سرمایه انسانی متخصص در بدنه…
🔴 🔻چهار پیشران تورم از نگاه رئیس کل پیشین بانک مرکزی
دکتر محمدحسین عادلی، رئیسکل پیشین بانک مرکزی:
🔹تورم نقطهبهنقطه در پایان تیرماه همچنان ۸۷.۹ درصد است و کاهش آن نسبت به خردادماه کمتر از یک واحد درصد بوده است.
🔹اقتصاد ایران همچنان با فشار تورمی بسیار بالا مواجه است و کاهش تورم ماهانه تیرماه نشانه تغییر پایدار روند تورمی نیست.
🔹تورم خوراکیها از ابتدای سال حدود ۲۰ درصد افزایش یافته؛ تورم نقطهبهنقطه نان و غلا…
🔵 صحبتهای شنیدنی و قابل تأمل دکتر حسین راغفر | استاد دانشگاه و کارشناس مسائل اقتصادی… در رابطه با شرایط اقتصادی مردم و ارزش پول ملی
♦️ کانال تخصصی اقتصاد
🔵 کارشناس مسایل اقتصادی: مالیاتی که بر مشاغل تعیین میشود، بعد از ۶ سال به دست دولت میرسد و این امر سبب میشود دولت از بانک ها استقراض کند که به ناترازی منجر میشود
مطلب مرتبط: منحنی لافر و وضعیت مالیات در ایران
♦️ کانال تخصصی اقتصاد
🔵 با سلام. لینک کانالها و گروههای مفید به شرح زیر است:
♦️کانال تخصصی اقتصاد
♦️کانال گفتار اقتصادی
♦️کانال مدل های اقتصادسنجی
♦️کانال دکتر محمدرضا منجذب
♦️رویدادهای اقتصادی
♦️کانال با اساتید اقتصاد
♦️ گروه تحلیل اقتصادی
♦️گروه ایویوز، استاتا و اقتصادسنجی
♦️ کانال تخصصی اقتصاد
🔵 🎥 نشست توازن دیپلماسی و میدان در بزنگاههای تاریخ معاصر ایران در #خبرآنلاین
📹 در کانال یوتیوب کافه خبر ببینید
از عباسمیرزا تا فروغی و جام زهر؛ چه کسی ایران را در لحظه بحران نجات داد؟
با حضور؛
▪️علی بیگدلی | استاد دانشگاه و کارشناس مسائل بینالمللی
▪️حسین راغفر | اقتصاددان و عضو هیات علمی دانشگاه الزهرا
▪️شروین وکیلی | جامعهشناس و تاریخنگار
♦️ کانال تخصصی اقتصاد
🔵 براساس دادههای مرکز آمار در پایان بهار ۱۴۰۵ نرخ بیکاری به ۹.۱ درصد رسید و تورم نقطه به نقطه به رکورد ۸۸.۶ درصد افزایش پیدا کرد بر این اساس شاخص فلاکت مجموع تورم و نرخ بیکاری به رکورد تاریخی ۹۷.۷ درصد افزایش پیدا کرده که در دهههای اخیر بیسابقه است.
مطلب مرتبط: دلایل تورم رکودی در ایران
♦️ کانال تخصصی اقتصاد
😢2🤔1
Signed M.R.Monjazeb
Showing the 12 most recent of 31 posts we hold for @eghtesadd. 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 — 30,484 of 1,183,361entries 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 6 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“کانال تخصصی اقتصاد” (@eghtesadd), 8,566 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/eghtesadd.
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.