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Hermes Academia| (هرمس آکادمیا)

@scienceknowledgemagazine

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

483subscribers

+15 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002259457431
TypeChannel
Username@scienceknowledgemagazine
CreatedBetween 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/scienceknowledgemagazine

Growth

468483475.58 August 2026 — 468 subscribers8 August 2026 — 468 subscribers16 August 2026 — 483 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net +15. 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 466–485 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:47483+15
8 Aug 2026, 04:47468no change
8 Aug 2026, 01:33468first reading

Engagement

20 posts held, back to 19 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.0%
avg views ÷ 483 subscribers
Avg views / post
106
19 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 6 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (19 July 20267 August 2026)
Views total2,015
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:47 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.

Reaction mix

13 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 76.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1076.9%
17.69%
👍17.69%
🔥17.69%

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 6 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 13reactions 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 19 July 2026 to 7 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

7 Aug 2026, 06:04 UTC135 views1 reactionsread 8 August 2026

نمودار ون در منطق سنتی نمودار ون یکی از مهم‌ترین ابزارهای نمایش روابط میان مفاهیم در منطق سنتی است. این نمودار با نمایش تصویری اشتراک، تمایز و شمول مفاهیم، تحلیل قضایا و بررسی اعتبار قیاس‌های حملی را ساده‌تر و دقیق‌تر می‌کند. در این روش، نواحی سایه‌زده نشان‌دهندهٔ نبودِ عضو و علامت × نشان‌دهندهٔ وجود دست‌کم یک عضو در آن ناحیه است. قسمت جدید منطق: Https://youtu.be/hVcsMzE1yzI?si=dd_cKy1JdQXNkOzx

1

4 Aug 2026, 20:44 UTC189 views4 reactionsread 8 August 2026

جان وِن؛ مردی که جهان اندیشه را به دایره‌ها سپرد در چهارم اوت سال ۱۸۳۴، در شهر هال انگلستان، کودکی به دنیا آمد که بعدها قرار بود یکی از ساده‌ترین و در عین حال ماندگارترین ابزارهای تفکر را به جهان هدیه کند. نام او جان وِن بود. جان در خانواده‌ای مذهبی بزرگ شد. پدرش کشیش کلیسای انگلستان بود و انتظار می‌رفت او نیز راهی مشابه را دنبال کند، اما ذهن کنجکاو جان بیش از آنکه درگیر آیین‌ها باشد، شیفته نظم پنهان در جهان بود؛ ن

4

31 Jul 2026, 21:35 UTC150 views3 reactionsread 8 August 2026

جهان مغالطات؛ بازخوانی مسیری که پیش‌تر پیموده‌ایم سه ویدئو هرمس آکادمیا: مغالطات 1 مغالطات 2 مغالطات 3 در مجموعه درس‌های پیشین، با مهم‌ترین مغالطات منطقی آشنا شدیم؛ از خطاهای صوری گرفته تا مغالطات غیرصوری که هر روز در رسانه‌ها، مناظره‌ها، تبلیغات و گفت‌وگوهای روزمره با آن‌ها روبه‌رو می‌شویم. هدف آن درس‌ها صرفاً حفظ نام مغالطه‌ها نبود، بلکه آموختن شیوه‌ای برای اندیشیدن دقیق‌تر و ارزیابی نقادانه استدلال‌ها بود. م

3

31 Jul 2026, 21:30 UTC126 viewsread 8 August 2026

صدق، اعتبار و قوت-سه معیار بنیادین در ارزیابی استدلال صدق و اعتبار 1 صدق و اعتبار 2 صدق و اعتبار 3 یکی از رایج‌ترین خطاها در مطالعه منطق، یکسان پنداشتن صدق، اعتبار و قوت استدلال است؛ در حالی که هر یک از این مفاهیم به جنبه‌ای متفاوت از استدلال اشاره دارند و کاربرد آن‌ها در استدلال‌های قیاسی و استقرایی یکسان نیست. صدق (Truth) ویژگی گزاره‌ها است. هر گزاره، بسته به مطابقت یا عدم مطابقت با واقع، یا صادق است یا کاذب.

31 Jul 2026, 21:19 UTC111 viewsread 8 August 2026

​استنتاج بهترین تبیین؛ هنر کشف حقیقت از مسیر شواهد دو ویدئو من در یوتیوب هرمس آکادمیا استنتاج بهترین تبیین قسمت اول استنتاج بهترین تبیین قسمت دوم ​در زندگی روزمره، علم و کارآگاهی، همواره با پدیده‌ها، معماها و نشانه‌هایی روبه‌رو می‌شویم که نیازمند توجیه هستند. وقتی پزشک از روی چند علامت ظاهری بیماریِ یک بیمار را تشخیص می‌دهد، یا وقتی کارآگاهی برجسته چون شرلوک هلمز از روی خاکستر سیگار و جای پا در صحنه جرم پرده از

30 Jul 2026, 18:32 UTC58 viewsread 8 August 2026

کورس اکولوژی (یوتیوب): قسمت اول: مقدمه‌ای بر اکولوژی | اکولوژی چیست مفاهیم اولیه اکولوژی قسمت دوم: آموزش اکولوژی: از اکولوژی موجود زنده تا اکولوژی جمعیت قسمت سوم: اکولوژی جوامع: بررسی ساختار و تعاملات گونه‌های زیستی قسمت چهارم: اکوسیستم چیست؟ چرا اکولوژیست ها اکوسیستم را مطالعه می‌کنند؟! قسمت پنجم: اکوسیستم چیست؟ عوامل زنده و غیرزنده-انواع اکوسیستم | مدل‌سازی اکوسیستم در این قسمت مفاهیم اولیه اکولوژی مانند تع

30 Jul 2026, 18:32 UTC68 viewsread 8 August 2026

لیست دوم درسگفتار منطق (منطق سنتی و جدید): گزاره و قضایای حملی | منطق سنتی (قدیم) قسمت اول گزاره و قضایای حملی | منطق سنتی (قدیم) قسمت دوم قضایای حملی و نمودار ون (حل تمرین) قسمت سوم مربع تقابل در منطق سنتی (ارسطویی) قسمت چهارم آموزش منطق سنتی: چطور مسائل مربع تقابل را حل کنیم؟ | قسمت پنجم

30 Jul 2026, 18:32 UTC63 viewsread 8 August 2026

لیست درسگفتار منطق: منابع دوره: A Concise Introduction to Logic 13th Edition Patrick J. Hurley, Lori Watson منبع اصلی درسگفتار جامع منطق INTRODUCTION TO LOGIC FIFTEENTH EDITION Irving M. Copi لیست ویدئوها: ویدئوی قسمت اول منطق و کاربرد و اهمیت آن درس‌گفتار منطق | جلسه اول مفاهیم پایه منطق جلسه دوم: حل سؤالات جلسه قبل جلسه سوم: شناسایی و تشخیص استدلال ۱ جلسه چهارم: شناسایی و تشخیص استدلال ۲ جلسه پنجم: شن

30 Jul 2026, 15:28 UTC83 viewsread 8 August 2026

آموزش منطق سنتی: چطور مسائل مربع تقابل را حل کنیم؟

27 Jul 2026, 08:19 UTC133 viewsread 8 August 2026
File

📚 شیت آکادمیک | منطق گزاره، محمولات، منطق قیاسی (Propositional Logic) منطق، زبان اندیشیدنِ دقیق است. پیش از آنکه بتوانیم استدلال‌های پیچیده را تحلیل کنیم، باید با ساختار گزاره‌ها و قواعد بنیادین استنتاج آشنا شویم. در این شیت، مهم‌ترین مفاهیم منطق گزاره به‌صورت خلاصه و منظم گردآوری شده است؛ از تعریف گزاره و عملگرهای منطقی گرفته تا جدول ارزش، قوانین هم‌ارزی و الگوهای معتبر استدلال. این فایل می‌تواند برای مرور سریع،

27 Jul 2026, 08:02 UTC109 viewsread 8 August 2026

قسمت جدید منطق دربارهٔ مربع تقابل در منطق سنتی با رویکرد ارسطویی https://youtu.be/LnA2cpSYeao?is=CNmKrnyuEgL8vW5I

26 Jul 2026, 07:48 UTC91 viewsread 8 August 2026

لیست درسگفتار منطق: منابع دوره: A Concise Introduction to Logic 13th Edition Patrick J. Hurley, Lori Watson منبع اصلی درسگفتار جامع منطق INTRODUCTION TO LOGIC FIFTEENTH EDITION Irving M. Copi لیست ویدئوها: ویدئوی قسمت اول منطق و کاربرد و اهمیت آن درس‌گفتار منطق | جلسه اول مفاهیم پایه منطق جلسه دوم: حل سؤالات جلسه قبل جلسه سوم: شناسایی و تشخیص استدلال ۱ جلسه چهارم: شناسایی و تشخیص استدلال ۲ جلسه پنجم: شن

Showing the 12 most recent of 20 posts we hold for @scienceknowledgemagazine. 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 — 1,108,773 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

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 2 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Hermes Academia| (هرمس آکادمیا)” (@scienceknowledgemagazine), 483 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/scienceknowledgemagazine.

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.