Telegram RegisterThe public register of Telegram

Channel

Ecohadi.com(اقتصادسنجی)

@ecohadico

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

3,636subscribers

+40 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001812105446
TypeChannel
Username@ecohadico
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/ecohadico

Growth

3,5963,6363,6166 August 2026 — 3,596 subscribers6 August 2026 — 3,596 subscribers10 August 2026 — 3,600 subscribers13 August 2026 — 3,636 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +40. 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 3,590–3,642 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:453,636+36
10 Aug 2026, 03:553,600+4
6 Aug 2026, 19:553,596no change
6 Aug 2026, 18:333,596first reading

Engagement

20 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.9%
avg views ÷ 3,636 subscribers
Avg views / post
1,670
13 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
17
of 20 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 5 August 2026
Posts held20 (13 July 20265 August 2026)
Views total21,674
Reactions total317
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:02 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

Video runtime
18m 26s
Average length
9m 13s

Measured directly from 2 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

357 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 76.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27476.8%
👍7521.0%
🤔41.12%
👎30.84%
🐳10.28%

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 15 of the 20 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 357reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 13 July 2026 to 5 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.

Recent posts

4 Aug 2026, 11:50 UTC914 views8 reactionsread 7 August 2026
Photo

سلام دوستان کسی هست این کتاب رو داشته باشه یا بتونه تهیه کنه برام ممنون از شما🙏🌺 @ecohadi

7👍1

2 Aug 2026, 11:30 UTC≈1,250 views16 reactionsread 7 August 2026
Photo

معرفی موقعیت شغلی تحلیلگر اقتصادی https://banaelc.com/%d9%87%d9%85%da%a9%d8%a7%d8%b1%db%8c-%d8%a8%d8%a7-%d9%85%d8%a7/ 🌐 ecohadico

10👍4🐳1🤔1

29 Jul 2026, 19:28 UTC≈1,760 views17 reactionsread 7 August 2026

🔆 چند روز پیش قول دادم درباره پیدا کردن ایده پایان‌نامه از دل مقالات موجود بنویسم. این یکی از کاربردی‌ترین روش‌هایی است که به دانشجویان توصیه می‌کنم، چون برخلاف تصور رایج، نیازی نیست ایده‌ای کاملاً بکر و از صفر پیدا کنید. وقتی یک مقاله مرتبط با حوزه‌تان را می‌خوانید، به این بخش‌ها دقت کنید: ۱. بخش Limitations نویسندگان معمولاً در پایان مقاله محدودیت‌های کارشان را صادقانه بیان می‌کنند؛ مثلاً «داده‌های ما فقط برای یک

👍116

27 Jul 2026, 08:58 UTC≈1,990 views31 reactionsread 7 August 2026

🔆 چند روز پیش یک جلسه مشاوره یک‌ساعته با یکی از دانشجویان داشتم. تقریباً تمام جلسه درباره یک سؤال بود: برای پایان‌نامه چه موضوعی انتخاب کنم و از کجا شروع کنم؟ جالب اینجاست که در ماه‌های اخیر این دغدغه را از دانشجویان زیادی شنیده‌ام. واقعیت این است که انتخاب موضوع پایان‌نامه فقط پیدا کردن یک عنوان جذاب نیست؛ بلکه تصمیمی است که می‌تواند مسیر چند سال آینده شما را تحت تأثیر قرار دهد. اگر بخواهیم دانشجویان را از این نظ

29👎2

26 Jul 2026, 15:01 UTC≈1,390 views16 reactionsread 7 August 2026
Video

🚀 آموزش پایتون برای اقتصاد | جلسه 3 تحلیل و پیش بینی تورم با python در این قسمت یاد می گیریم چطوری داده های فصلی را به ماهانه تبدیل کنیم. بخاطر پیچیدگی هایی که این قسمت داشت من کدها رو به صورت آماده استفاده کردم. دوستانی که به کدهای این قسمت نیاز دارند به من پیام بدید تا براتون ارسال کنم.🌺 🌐 @ecohadico

14👍2

26 Jul 2026, 07:32 UTC≈1,390 views25 reactionsread 7 August 2026

🔆 امروز داشتم جلسه سوم آموزش پایتون برای اقتصاد رو ضبط می‌کردم. اگر یادتون باشه، در دو جلسه اول با سه متغیر قصد داشتیم یک مدل اقتصادسنجی بسازیم. اما وقتی همبستگی بین متغیرها رو بررسی کردم، متوجه شدم همبستگی بین قیمت نفت و تورم تقریباً صفره! همین باعث شد تصمیم بگیرم چند متغیر مهم دیگه رو هم وارد مدل کنم. اینجا بود که با یک چالش واقعی روبه‌رو شدم... داده‌های تورم به صورت ماهانه بودند، اما متغیرهایی مثل پایه پولی، ن

17👍8

21 Jul 2026, 14:59 UTC≈1,640 views13 reactionsread 7 August 2026
Forwarded from @kennedy_notes

#معرفی #پژوهش ارایه های سالانه NBER summer institute هفته پیش آغاز شده و ارایه ها به صورت زنده در کانال یوتیوب موسسه پخش می شود: https://youtube.com/@nbervideos?si=K8duI3p_SBUANJj_ ——- تا جایی که می دانم، این موسسه دشوارترین جایی است که یک اقتصاددان امکان حضور و ارایه دارد. سختی از این جهات این است که هم رقابت بر سر ارایه کردن بسیار شدید است، هم حاضران زبان تندی برای نقد کردن دارند: https://www.nber.org/conf

13

19 Jul 2026, 17:54 UTC≈1,640 views28 reactionsread 7 August 2026

🔆 سلام به همگی امید که خوب و سلامت باشید از همراهی، اعتماد و استقبال ارزشمند شما از دوره «تحلیل داده و اقتصادسنجی با R» صمیمانه سپاسگزارم. دیدن این همه علاقه به یادگیری اقتصادسنجی و تحلیل داده، انگیزه من را برای تولید آموزش‌های کاربردی و باکیفیت چند برابر می‌کند. امیدوارم بتوانم در این دوره، دانشی را منتقل کنم که در مقاله، پایان‌نامه و پروژه‌های واقعی برایتان مفید باشد. از همراهی شما عزیزان بسیار سپاسگزارم 🙏🌹 @ec

25👍3

18 Jul 2026, 15:32 UTCviews —

Ecohadi.com(اقتصادسنجی) pinned «⏰ آخرین فرصت ثبت‌نام دوره «تحلیل داده و اقتصادسنجی با R» تاکنون بیش از ۲۰ نفر ثبت‌نام خود را نهایی کرده‌اند و ثبت‌نام این دوره فقط تا پایان روز یکشنبه ادامه خواهد داشت. اگر قصد دارید تحلیل داده و اقتصادسنجی را با R به‌صورت پروژه‌محور و با داده‌های واقعی…»

18 Jul 2026, 07:28 UTC≈1,920 views13 reactionsread 7 August 2026

⏰ آخرین فرصت ثبت‌نام دوره «تحلیل داده و اقتصادسنجی با R» تاکنون بیش از ۲۰ نفر ثبت‌نام خود را نهایی کرده‌اند و ثبت‌نام این دوره فقط تا پایان روز یکشنبه ادامه خواهد داشت. اگر قصد دارید تحلیل داده و اقتصادسنجی را با R به‌صورت پروژه‌محور و با داده‌های واقعی یاد بگیرید، خوشحال می‌شوم در این دوره همراه شما باشم. 📩 برای ثبت‌نام و دریافت اطلاعات بیشتر: @ecohadi

👍93👎1

17 Jul 2026, 12:18 UTC≈1,750 views21 reactionsread 7 August 2026
Video

🎥 اگر هنوز برای یادگیری R تردید دارید، پیشنهاد می‌کنم این ویدئوی کوتاه را ببینید. در این ویدئو توضیح داده‌ام که چرا R به یکی از مهم‌ترین ابزارهای تحلیل داده و پژوهش در اقتصاد تبدیل شده و چرا تصمیم گرفتم این دوره را برگزار کنم. اگر سؤال یا ابهامی داشتید، در بخش نظرات بنویسید؛ با کمال میل پاسخ می‌دهم. 🌹 @ecohadi

19👍2

Showing the 12 most recent of 20 posts we hold for @ecohadico. 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 — 399,238 of 1,169,250entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“Ecohadi.com(اقتصادسنجی)” (@ecohadico), 3,636 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ecohadico.

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.