2 measurements taken within a single day. 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 252–254 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 09:20
253
no change
8 Aug 2026, 02:21
253
first reading
Engagement
20 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
55.7%
avg views ÷ 253 subscribers
Avg views / post
141
14 posts measured
Reaction rate
1.72%
reactions ÷ views · ER floor
Posts in window
14
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
Window
Rolling 30 days · latest post in window 28 July 2026
Posts held
20 (13 July 2026 – 28 July 2026)
Views total
1,974
Reactions total
34
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 09:20 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
51
Videos
24
Links
243
Lifetime counters from Telegram’s own channel header, read 8 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.
Reaction mix
40 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20
50.0%
👍
18
45.0%
🔥
2
5.00%
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 17 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 40reactions 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 28 July 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.
فردریک هایک (Friedrich Hayek)
«حاکمیت قانون به این معناست که حکومت در همه اقدامات خود تابع قواعدی ثابت و از پیش اعلامشده است؛ قواعدی که این امکان را به فرد میدهد تا با اطمینان بپندارد چگونه قدرتِ قاهره در شرایط مختلف به کار گرفته خواهد شد.»
کتاب: راه بندگی (The Road to Serfdom)، فصل ۶ (تفاوت قانون و برنامهریزی).
جان لاک (John Locke)
«هدف قانون، از بین بردن یا محدود کردن آزادی نیست، بلکه حفظ و گسترش آن است... زیرا در جایی که قانونی وجود ندارد، آزادی نیز وجود ندارد.»
کتاب: رسالهای درباره حکومت (Two Treatises of Government)، بخش دوم، فصل ۵، بند ۵۷.
مونتسکیو (Montesquieu)
«آزادی عبارت است از حق انجام هر کاری که قوانین اجازه میدهند؛ و اگر شهروندی بتواند آنچه را که قوانین منع کردهاند انجام دهد، دیگر آزاد نخواهد بود، زیرا دیگران نیز همین قدرت را خواهند داشت.»
کتاب: روحالقوانین (The Spirit of the Laws)، کتاب یازدهم، فصل ۳.
⚜ آشکار است که کارل اشمیت یک متفکر لیبرال نیست. او متفکری محافظه کار است که دولت سیاسی را نهادِ تصمیم گیریِ حاکمانه میداند. با این حال، اصرار اشمیت بر اینکه دولت، به شرطی دولت است که تمایز خود از جامعه را حفظ کند، نه تنها با تصورات لیبرال از اقتصاد آزاد به مثابه حوزهای غیرسیاسی از روابط مبادله قانونمند میان مالکان در تضاد نیست، بلکه در واقع برای آن تصورات، محوری است.
🔅 توصیف طرح اشمیت از اقتصاد سالم و دولت نیرومن…
📉 سقوط یک افسانه و درمانِ تلخ؛ روزهایی که اقتصاد آمریکا تا مرز سکته رفت!
این یک داستان دو قسمتی از یکی از بزرگترین درسهای تاریخ اقتصاد کلان است؛ زمانی که سیاستگذاران تصور میکردند میتوان با چاپ پول رفاه ایجاد کرد، اما در نهایت مجبور به یک جراحی دردناکِ بدون بیحسی شدند.
🔻 بخش اول: دهه ۱۹۷۰ و مرگ یک توهم پولی (رکود تورمی)
در آغاز دهه ۷۰، سیاستگذاران فدرال رزرو به «منحنی فیلیپس» ایمان داشتند: "کمی پول چاپ کن، تورم…
📄 اقتصادانی که شاخ غول تورم را شکست
تورم ماهانه آرژانتین از ۲۵.۵ درصد در دسامبر ۲۰۲۳، در می 2026 به محدوده ۲ درصد رسیده است؛ تغییری که «معجزه» نامیدن آن، نادیدهگرفتن مجموعه تصمیمهایی است که همزمان و در یک مسیر به کار گرفته شدند.
#تورم
#خاویر_میلی
◽️@UTfinance◽️
🇻🇳 تقابل دیدنی ویتنام و تایلند؛ ببر جدید شرق آسیا چگونه فرمول توسعه را تغییر داد؟
در سال ۲۰۱۵، تایلند با اختلاف خیرهکننده ۹۴ میلیارد دلار، صادرات بیشتری نسبت به ویتنام داشت. اما تا سال ۲۰۲۳، ویتنام بازی را به طور کامل تغییر داد و از تایلند پیشی گرفت! این یکی از سریعترین جابهجاییهای قدرت اقتصادی در جنوب شرق آسیاست.
اما چطور این اتفاق افتاد؟ بیایید با زبان آمار و تحلیل به دلایل این جهش نگاهی بیندازیم:
🔍 ریشه تفاوت…
📊 واکاوی اقتصاد ایران؛ دهه ۴۰ در برابر دهه ۵۰
چرا یک حکومت در دو دهه پیاپی، دو کارنامه کاملاً متفاوت اقتصادی خلق کرد؟
🔑 دهه ۱۳۴۰ و ۱۳۵۰ ایران، دو روی متفاوت از یک سکه اقتصادی هستند. تحلیل ساختاری این دو دهه نشان میدهد که پول پاشی نفتی چگونه میتواند پایههای یک توسعه متوازن را ویران کند:
1️⃣ دهه ۱۳۴۰؛ دوران طلایی تکنوکراسی
▫️ رشد اقتصادی شگفتانگیز سالانه ۱۱ تا ۱۳ درصد.
▫️ میانگین تورم بینظیر حدود ۲ درصد!
▫️ میدا…
⚖️ قضاوت تاریخ؛ کارنامه اقتصادی شاه از نگاه موافقان و مخالفان
هر دو طیف موافق و مخالف توسعه دوران پهلوی، استدلالها و نقلقولهای مستندی دارند. برای درک واقعیت، باید هر دو روایت را در کنار هم شنید:
🟢 روایت موافقان: مدرنیزاسیون و جهش صنعتی
موافقان شاه معتقدند او ایران را از یک کشور عقبمانده به یک قدرت صنعتی منطقهای تبدیل کرد.
🎙 دکتر علینقی عالیخانی (وزیر اقتصاد دهه ۴۰):
«شاه در دهه ۴۰ علاقه شدیدی به پیشرفت کشور د…
🔍 کالبدشکافی اقتصاد پس از انقلاب؛ چرا چرخ معیشت لنگ میزند؟
انقلاب سال ۱۳۵۷ با شعار عدالت اجتماعی، خودکفایی و مبارزه با سرمایهداری رانتی روی کار آمد. اما چرا پس از چهار دهه، ساختار اقتصادی کشور همچنان از بیماریهای جدی رنج میبرد؟ منتقدان چند آسیب ساختاری کلیدی را مطرح میکنند:
1️⃣ دولتیسازی افراطی و ظهور «خصولتیها»
با مصادره اموال کارآفرینان ملی در ابتدای انقلاب، اقتصاد به شدت دولتی شد. بعدها نیز فرآیند خصوصیس…
از تکنوکراسی تا رانتخواری.pdf (بیانگر سیر تغییرات مدیریت اقتصادی)
👍1
Showing the 12 most recent of 20 posts we hold for @Liberalmedai. 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 — 968,754 of 1,160,990entries 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
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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Liberty Nexus” (@Liberalmedai), 253 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Liberalmedai.
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.