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Channel

امیرمحمد گلوانی_Eco.Galavani

@eco_galavani

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

16,091subscribers

+45 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001745549157
TypeChannel
Username@eco_galavani
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/eco_galavani

Growth

16,04616,10816,0777 August 2026 — 16,046 subscribers7 August 2026 — 16,046 subscribers8 August 2026 — 16,085 subscribers9 August 2026 — 16,094 subscribers10 August 2026 — 16,088 subscribers11 August 2026 — 16,083 subscribers12 August 2026 — 16,094 subscribers13 August 2026 — 16,108 subscribers14 August 2026 — 16,102 subscribers15 August 2026 — 16,092 subscribers17 August 2026 — 16,091 subscribers16,0917 August 202617 August 2026
11 measurements spanning 10 days, net +45. 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 16,037–16,117 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 11:2716,091-1
15 Aug 2026, 20:0516,092-10
14 Aug 2026, 08:2416,102-6
13 Aug 2026, 03:1516,108+14
12 Aug 2026, 05:3416,094+11
11 Aug 2026, 09:0716,083-5
10 Aug 2026, 12:0716,088-6
9 Aug 2026, 09:1116,094+9
8 Aug 2026, 08:0116,085+39
7 Aug 2026, 14:3016,046no change
7 Aug 2026, 14:2116,046first reading

Engagement

34 posts held, back to 23 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
46.1%
avg views ÷ 16,091 subscribers
Avg views / post
7,410
32 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 15 August 2026
Posts held34 (23 July 202615 August 2026)
Views total237,180
Reactions total3,118
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 21:37 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

Video runtime
2h 34m
Average length
11m 51s

Measured directly from 13 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

3,118 reactions across 32 posts, in 4 distinct kinds. The most used accounts for 52.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,62152.0%
1,15537.0%
👏32010.3%
🙏220.706%

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 32 of the 34 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 3,118reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 23 July 2026 to 15 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

15 Aug 2026, 15:54 UTC≈3,520 views112 reactionsread 16 August 2026

⭕️دولت ذاتا چیزی از خود نداره که خیرات هم کند 💰در کامنت‌های پست آخر اینستاگرام در خصوص بنزین این رو‌متوجه شدم که خیلی‌ها چنین متصورند که دولت جیب جدایی از ملت داره و با بنزین تقریبا مفت داره #مهربونی می کنه. ✔️شده حکایت اونیکه شب خونش رو #دزد میزنه، صبح فرداش اقا دزده یک صدم مال دزدی رو تحت عنوان کمک و #خیریه میزنه به حساب صاحب خونه و صاحب خونه راضیه! اصلا نمی‌فهمه از مال خودش برات خیرات کردن! @eco_galavani✅

👍9418

15 Aug 2026, 11:11 UTC≈3,970 views72 reactionsread 16 August 2026
Video

کسانی که نقش جنگ در تورم را انکار می‌کنند جنگ را سفید شویی کردند امیرمحمد گلوانی، اقتصاددان، در برنامه خط مذاکرات: 🔹داده‌های اقتصادی از جمله شاخص نقدینگی به خوبی تاثیر جنگ بر تورم را نشان می‌دهد. 🔹جنگ اساسا باعث تشدید خلق پول شده است. 🔹جنگ عرضه را مختل کرد، تولید کشور تعطیل شد، انتظارات تورمی‌هم داشتیم، محاصره هم بودیم بعد بگوییم این‌ها در تورم تاثیر نداشته! 🔹کسانی که این حرف‌ها را می‌زنند، جنگ را سفید شویی می‌کنند.

38👍34

15 Aug 2026, 06:27 UTC≈4,500 views113 reactionsread 16 August 2026
Video

💰مصیبت بنزین، ماحصل عمری تصمیمی و کمونیستم زدگی و نهایتا رسیدن به وضعیت اره ‏ ✅مصیبت ⁧ #بنزین ⁩ فارغ از مانع اصلی‌اش که عدم اعتماد بین دولت و ملت است، بحرانی‌ شده ‏ و ادامه این وضع ممکن نیست؛ باید این بار یارانه پنهان بنزین و سوخت (حدودا ۷۰ میلیارد دلار) حذف شده و اختیار و انحصار آن از دولت گرفته شود و سوخت (نفت و گاز و مشتقات) به صاحبان اصلی آن یعنی ⁧ #ملت ⁩ باز گردد. ‏پی نوشت: این مناظره برای زمستان ۱۴۰۳ است. ✔️بر

78👍35

13 Aug 2026, 18:45 UTC≈4,780 views114 reactionsread 16 August 2026
Video

کسانی که نقش جنگ در تورم را انکار می‌کنند جنگ را سفید شویی کردند امیرمحمد گلوانی، اقتصاددان، در برنامه خط مذاکرات: 🔹داده‌های اقتصادی از جمله شاخص نقدینگی به خوبی تاثیر جنگ بر تورم را نشان می‌دهد. 🔹جنگ اساسا باعث تشدید خلق پول شده است. 🔹جنگ عرضه را مختل کرد، تولید کشور تعطیل شد، انتظارات تورمی‌هم داشتیم، محاصره هم بودیم بعد بگوییم این‌ها در تورم تاثیر نداشته! 🔹کسانی که این حرف‌ها را می‌زنند، جنگ را سفید شویی می‌کنند.

👍86👏1610🙏2

13 Aug 2026, 06:53 UTC≈5,420 views102 reactionsread 16 August 2026
Photo

افت متوسط تولید نفت کشور از ۳/۲ میلیون بشکه به ۲/۴ میلیون در اثر محاصره و افت صادرات ✔️همین یک فقره به تنهایی منجر به تشدید کسری بودجه، فشار برای چاپ پول و رشد شتاب تورمی می شود. @eco_galavani✅

👍8021🙏1

11 Aug 2026, 21:41 UTC≈9,280 views151 reactionsread 16 August 2026
Photo

هر دم از این باغ بری می رسد؛ سابقا نیز گفتم تیم مشاوران اقای قالیباف #کارت_تنگه_هرمز را خواهند سوزاند و باید قبل از اینکه دیر شود، تنگه رو به یک دستاورد مشخص روی میز تبدیل کرد. 📈کریس رایت (Chris Wright) وزیر انرژی ایالات متحده: ✔️به لطف تلاش‌های هماهنگ ارتش ایالات متحده و متحدان ما در کشورهای خلیج فارس، میانگین هفت‌روزه نفت عبوری از تنگه هرمز اکنون به نزدیک ۹ میلیون بشکه در روز رسیده است. ✔️با احتساب ۵ تا ۷ میلیو

👍12120👏9🙏1

11 Aug 2026, 17:48 UTC≈5,890 views184 reactionsread 16 August 2026

به این سخنان نگاه کنید؛ مصداق رویافروشی به حاکمیت و توهم است که بنظرم از اسرائیل و امریکا و جنگ بیشتر به کشور لطمه زده است. ‏تیتر جذاب است! ما هم میتونیم امریکا رو تحریم کنیم! ‏ ✔️کارشناس زبده فرمودند با تحریم جلوی ۶۰ میلیارد دلار تجارت امریکا با کشورهای عربی رو میگیرم؛ فقط استاد نگفتند که کل تجارت امریکا ۷۸۰۰ میلیارد دلار بوده و اگر این کارو بکنیم (که نمیتونیم) شامل کمتر از ۱ درصد از حجم تجارت امریکا میشه. @eco_ga

👍15317👏13🙏1

11 Aug 2026, 17:46 UTC≈5,990 views34 reactionsread 16 August 2026
Forwarded from @khate_energyVideo

🔥ما هم می‌توانیم آمریکا را تحریم کنیم! 🔹مهدی حسنوند: آمریکا سالانه ۶۰ میلیارد دلار تجارت دریایی با کشورهای جنوبی خلیج فارس دارد که از تنگه هرمز می‌گذرد. 🔹آمریکا به این جریان تجاری برای سرپا نگه‌داشتن چند تریلیون سرمایه‌گذاری خود در این کشورها نیاز دارد و ایران می‌تواند با بستن تنگه و فشار آوردن به آمریکا، پیچ تحریم‌های خودش را شل کند. @khate_energy

20👍14

11 Aug 2026, 15:47 UTC≈5,990 views59 reactionsread 16 August 2026
Photo

📈اثر جنگ ایران و امریکا بر تورم یانکی‌ها و سیاست فدرال رزرو ✔️روند تورم آمریکا در ابتدای ۲۰۲۵ نزولی بود و در مارس، آوریل و مه ۲۰۲۵ تورم نقطه‌به‌نقطه زیر ۲.۵ درصد وپایین‌تر از تورم متوسط ۱۲ماهه حدود ۳ درصدی قرار گرفت و بنظر حرکت برای رسیدن به تورم هدف ۲ درصدی (تورم هدف فدرال رزور pce است نه cpi) مساعد بود؛ ✔️تا اینکه ژوئن ۲۰۲۵ تورم دوباره تقویت شد، اما در ژانویه و فوریه ۲۰۲۶ مجدداً کاهش یافت و نشانه‌هایی از کنترل تور

43👍16

10 Aug 2026, 09:58 UTC≈6,080 views102 reactionsread 16 August 2026

✔️توافق مکه، ناتوی اسلامی یا بدیلی برای پیمان ابراهیم بنظرم توافق مكه (پیمان دفاعی نظامی بین سه کشور ترکیه، عربستان و پاکستان) ، يك ناتوى اسلامى سُنى است كه يك پيام مهم دارد، اين سه كشور عليرغم مديريت تنش با اسرائيل، پيمان ابراهيم را نيز قبول نداشته و در صدد ايجاد بديلى براى نظم امريكايى در منطقه هستند که رضايت نسبى چینی ها را هم جلب كند؛ ✔️بابد ديد وسط بازى تركيه، عربستان وپاكستان بين امريكا وجين به كجا ختم مى شود

64👍38

9 Aug 2026, 22:13 UTC≈6,260 views86 reactionsread 16 August 2026
Video

سوال مهم در خصوص وجاهت و گستره دموكراسى ✔️فرض كنيم در كشورى رفراندوم برگزار كردند و ٩٩ درصد راى دادند كه حجاب اجبارى باشه، يا بالعكس حجاب غير قانونى بشه، چون ٩٩ درصد مردم اينو پذيرفتن، اين قانون بايد مورد قبول قرار بگیره واجرا بشه؟ ✔️این ویدیو از سخنرانی بنده در نشست ویژگی‌های نهادی #حاکمیت_قانون است که در زمستان ۱۴۰۴ در دنیای اقتصاد برگزار شد و سخرانی کامل بنده و سایر بزرگواران رو بصورت ویدویی یا صوتی میتونید از

👍5429👏3

9 Aug 2026, 16:39 UTC≈6,210 views43 reactionsread 16 August 2026
Forwarded from @ecoiran_webtvVideo

📹 درباره حاکمیت قانون 🎙نسخه صوتی ▫️۱. حکومت قانون، حکومت چیست یا حکومت کیست؟ ▫️۲. قانون کجا شکل می‌گیرد و چگونه کشف می‌شود؟ ▫️۳. آیا آنچه از پارلمان صادر می‌شود قانون است؟ ▫️۴. ترتیبات نهادی حکومت قانون کدامند؟ #سروستان 📺 @ecoiran_webtv

👏2213👍7🙏1

Showing the 12 most recent of 34 posts we hold for @eco_galavani. 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 — 611,169 of 1,481,502entries 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 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.

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.

محمدعلی جنت خواه
@jannatkhah · 108,118
Telegram ranks this channel #66 of 93 here — alongside 92 others — read 15 August 2026
تاریخ‌اندیشی ــ مهدی تدینی
@tarikhandishi · 112,057
Telegram ranks this channel #73 of 95 here — alongside 94 others — read 14 August 2026

This channel appears in 2 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“امیرمحمد گلوانی_Eco.Galavani” (@eco_galavani), 16,091 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/eco_galavani.

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.