Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 8 February 2025 to 26 September 2025. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @microeconomicst. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
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 295–297 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 22:47
296
no change
6 Aug 2026, 22:31
296
first reading
Engagement
20 posts held, back to 18 October 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 26 September 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
1
Videos
11
Lifetime counters from Telegram’s own channel header, read 6 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.
۱. تعادل مصرفکننده: جایی که منحنی بیتفاوتی با خط ناحیه امکان مماس میشود.
منحنی بیتفاوتی (Indifference Curve): این منحنی نشاندهنده ترکیبهای مختلفی از دو کالا است که مصرفکننده از هر کدام، سطح رضایت (یا مطلوبیت) یکسانی دریافت میکند. به عبارت دیگر، مصرفکننده بین هر ترکیبی از کالاها که روی یک منحنی بیتفاوتی قرار دارد، بیتفاوت است. منحنیهای بیتفاوتی معمولاً شیب نزولی دارند (برای داشتن بیشتر از یک کالا، باید از…
مثالها: چای و قهوه، کره و مارگارین، دو برند مختلف از یک محصول (مانند دو مارک نوشابه)، بنزین و گازوئیل (برای برخی خودروها)، گوشت گاو و گوشت مرغ.
کشش متقاطع تقاضا: کشش متقاطع تقاضا بین دو کالای جانشین، مثبت است.
این مفاهیم به درک چگونگی تصمیمگیری مصرفکنندگان در بازار و چگونگی واکنش آنها به تغییرات قیمت، درآمد و سایر عوامل کمک میکنند.
ویژگیها:
شیب نزولی: برای حفظ مطلوبیت کلی یکسان، اگر مصرف یک کالا افزایش یابد، مصرف کالای دیگر باید کاهش یابد.
محدب بودن نسبت به مبدأ (Convex to the origin): این به دلیل قانون مطلوبیت نهایی نزولی است. هرچه از مقداری از یک کالا دورتر میشویم (مصرفش بیشتر میشود)، حاضر هستیم مقدار کمتری از کالای دیگر را فدا کنیم تا آن را به دست آوریم. این نشاندهنده کاهش نرخ نهایی جانشینی (MRS) است.
منحنیهای بالاتر، مطلوبیت بیشتری را …
11. مطلوبیت (Utility):
مفهوم: مطلوبیت، مفهوم انتزاعی است که میزان رضایت، لذت، یا سودی را که یک مصرفکننده از مصرف یک کالا یا خدمت خاص یا ترکیبی از آنها به دست میآورد، اندازهگیری میکند. اقتصاددانان از این مفهوم برای مدلسازی رفتار مصرفکننده و چگونگی تصمیمگیری آنها استفاده میکنند.
ذهنی بودن: مطلوبیت کاملاً ذهنی است. آنچه برای یک فرد مطلوبیت بالایی دارد، ممکن است برای فرد دیگری نداشته باشد. همچنین، مطلوبیت قابل …
6. قانون عرضه و تقاضا (Law of Supply and Demand):
مفهوم اساسی: قانون عرضه و تقاضا، یکی از بنیادیترین اصول اقتصاد کلان و خرد است که رابطه بین قیمت یک کالا یا خدمت و تمایل مصرفکنندگان به خرید (تقاضا) و تمایل تولیدکنندگان به فروش (عرضه) آن را توضیح میدهد.
تقاضا (Demand):
تعریف: تقاضا نشاندهنده مقدار کالایی است که مصرفکنندگان مایل و قادر به خرید آن در قیمتهای مختلف در یک دوره زمانی مشخص هستند.
قانون تقاضا: به طور …
تعریف: قیمت، مقداری است که خریدار برای خرید یک واحد از کالا یا خدمت به فروشنده میپردازد. همچنین میتواند نمایانگر ارزش نسبی کالاها باشد.
نقش کلیدی قیمت در اقتصاد بازار:
سیگنالدهی: قیمتها اطلاعات مهمی را منتقل میکنند.
برای مصرفکنندگان: نشان میدهد که کالا چقدر کمیاب یا ارزشمند است و آیا خرید آن مقرون به صرفه است یا خیر.
برای تولیدکنندگان: نشان میدهد که تولید چه کالاهایی سودآورتر است و باید منابع خود را به کدام س…
1. کمیابی (Scarcity):
مفهوم اساسی: کمیابی، سنگ بنای تمام مفاهیم اقتصادی است. به این معنی است که منابع موجود (مانند زمان، پول، مواد اولیه، نیروی کار) محدود هستند، در حالی که خواستهها و نیازهای انسانها نامحدود و بیپایان است.
چرا کمیابی مهم است؟ اگر منابع نامحدود بودند، نیازی به انتخاب، تصمیمگیری اقتصادی، یا نگرانی در مورد تخصیص منابع نبود. همه میتوانستند هر آنچه را که میخواهند داشته باشند. اما چون منابع محدود هس…
اهداف مشخصی دارند: (مانند حداکثر کردن مطلوبیت یا سود).
با استفاده از اطلاعات موجود، بهترین راه را برای رسیدن به آن اهداف انتخاب میکنند.
تصمیماتشان سازگار است: ترجیحاتشان منطقی و پایدار است (اگر A را بر B ترجیح دهند و B را بر C، منطقی است که A را بر C ترجیح دهند).
اهمیت فرض عقلانیت: این فرض به اقتصاددانان اجازه میدهد تا رفتار اقتصادی را پیشبینی و مدلسازی کنند. اگر افراد کاملاً تصادفی رفتار کنند، مطالعه رفتار اقتصا…
صد نکته کلیدی در مورد اقتصاد خرد
مبانی و مفاهیم کلیدی:
کمیابی: اساس اقتصاد خرد، کمیابی منابع نسبت به خواستهها است.
انتخاب: به دلیل کمیابی، افراد و جوامع مجبور به انتخاب هستند.
هزینه فرصت (Opportunity Cost): ارزشی که با انتخاب یک گزینه، از دست میدهیم.
عقلانیت: فرض بر این است که افراد برای رسیدن به اهداف خود، تصمیمات منطقی میگیرند.
حاشیه: تحلیل تصمیمات بر اساس تغییرات کوچک در عرضه یا تقاضا.
قانون عرضه و تقاضا: رابط…
انحصار چندجانبه (Oligopoly): بازاری با تعداد کمی فروشنده بزرگ.
قیمتگذاری: استراتژیهایی که بنگاهها برای تعیین قیمت محصول خود استفاده میکنند.
تکنولوژی تولید: نحوه تبدیل نهادهها به ستادهها.
بازده به مقیاس (Returns to Scale): چگونگی تغییر تولید با تغییر مقیاس تولید.
کارایی تولید: تولید حداکثر ستاده ممکن با مقدار مشخصی نهاده.
کارایی تخصیص (Allocative Efficiency): تولید کالاهایی که جامعه بیشترین خواهان آن است (P=MC).…
سلام وقت همگی بخیر
بچهایی که برای برنامه ریزی گروه های همخونی #کنکور_ارشد_۱۴۰۵ پیام دادین یه تعدادی رو بررسی کردم مشخص شد
بقیه دوستانی که پیاماشون باز نشده یا تازه میخوان شرکت کنن(@afrahim) لطفا در غالب یک پیام از وضعیت تحصیلیتون بگین که انشالله بعد از تیر ماه برنامه های هفتگی رو استارت بزنیم
برای مثال لطفا فرمت پیامتون به صورت زیر باشه:
۱. فلانی هستم
۲. هدفم فلان دانشگاه و رتبه زیر فلانه
۳. فلان کتابارو دارم میخ…
Signed Ebrahim
Showing the 12 most recent of 20 posts we hold for @economykit. 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.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 18 October 2024 to 26 September 2025. 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.
Citation-graph rank
Citation-graph rank — 779,915 of 1,151,006entries 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.
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“economykit” (@economykit), 296 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/economykit.
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.