3 measurements taken within a single day, net -2. 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 590–592 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 00:07
590
-2
6 Aug 2026, 17:48
592
no change
6 Aug 2026, 03:17
592
first reading
Engagement
20 posts held, back to 19 June 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
46.7%
avg views ÷ 590 subscribers
Avg views / post
275
10 posts measured
Reaction rate
1.74%
reactions ÷ views · ER floor
Posts in window
10
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 6 August 2026
Posts held
20 (19 June 2026 – 6 August 2026)
Views total
2,754
Reactions total
48
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 17:48 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
70 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 75.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
53
75.7%
👍
11
15.7%
🔥
6
8.57%
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 16 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 70reactions 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 June 2026 to 6 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.
آیا «انرژی تاریک» که سالها دنبالش بودیم اصلا وجود ندارد؟
سالها دانشمندان مشاهده می کردند جهان با شتاب در حال انبساط است و «انرژی تاریک» عامل این شتاب است.
پژوهش جدید نشان میدهد این فرض ممکن است ناشی از خطای محاسباتی باشد
اخترشناسان برای اندازهگیری فاصله کهکشانها از ابرنواخترهای نوع Ia بهعنوان «خطکش کیهانی» استفاده میکنند. تیم دانشگاه آکسفورد دریافت چون ابرنواخترهای دوردست از ستارگان جوانتر تشکیل شدهاند،…
یوتیوب پاکسازی ویدیوهای هوش مصنوعی را شروع کرد
🖥 یوتیوب طی ۶ ماه گذشته بیش از ۱۳۰ هزار کانال را که با استفاده از هوش مصنوعی محتوای بیکیفیت و انبوه تولید میکردند، از پلتفرم خود حذف کرد. این اقدام حدود ۵۰ هزار شبکهی هماهنگ از کانالهای اسپم را نیز در بر میگیرد.
➖ هدف از این اقدام، کاهش حجم محتوای بیکیفیتی است که تنها برای جذب بازدید و کسب درآمد تولید میشود.
📝 این محدودیت به معنای ممنوعشدن تمام ویدیوهای ساخته…
🧠 اراده آزاد و توهم جبرگرایی عصبشناختی: پایان افسانه آزمایش لیبت 🧠
آزمایش بنجامین لیبت در دهه ۱۹۸۰ ادعا کرد که فعالیت الکتریکی مغز پیش از تصمیم آگاهانه انسان رخ میدهد [1, 3]. سالها این یافته بهعنوان سندی علمی بر نفی «اختیار» تبلیغ شد، اما بازخوانیهای مدرن، شکافهای بنیادین این تفسیر را آشکار کردهاند [1]:
🔹 ۱. تناقض در تفسیر جبرگرایانه
نکته قابلتأمل این است که خودِ بنجامین لیبت به اراده آزاد باور داشت و هرگ…
🔻 تایید اعمال ضریب ۴ بر اینترنت بینالملل؛ چرایی زود تمام شدن بستههای اینترنتی
🔸تصاویر منتشر شده از ریز مصرف اینترنت کاربران نشان میدهد که اپراتورهای تلفن همراه برای ترافیک «بینالملل»، ضریب ۴ اعمال میکنند.
🔸بر این اساس، به ازای هر ۱ گیگابایت مصرف اینترنت در فضای بینالملل، ۴ گیگابایت از حجم بستههای خریداری شده توسط مشترکان کسر میشود.
🔸این در حالی است که برای ترافیک «داخلی»، ضریب ۱.۴۹ و برای برخی پیامرسان…
📖 پاسخهای منسجم به ده پرسش رایج از سوی مادیگرایان در مورد Veridical OBE و ESP(ادراکات فرا-حسی) در تجارب نزدیک به مرگ
متنی که بالاتر نوشتم(نتایج فلسفی تجربیات نزدیک به مرگ) صرفاً بر اساس یک مورد از موارد راستیآزمایی شده در مقالهٔ پروفسور سام پرنیا بود و من نیز صرفاً بر اساس همان یک مورد، نتیجهگیری منطقی را بیان کردم. با این حال موارد متعدد دیگری از Veridical OBE و ادراکات فرا-حسی تأیید شده در پژوهشهای مختلف گزار…
#خبر_علمی
جایزه شایان اویس غرَن
Shayan Oveis Gharan
دانشمند علوم کامپیوتر دانشگاه واشنگتن، برنده مدال
IMU Abacus Medal
سال ۲۰۲۶ شد.
این مدال هر ۴ سال یکبار به نظریهپردازان کامپیوتر زیر چهل سال اعطا میشود.
او با استفاده از ابزارهای نوآورانه از حوزههای مختلف ریاضیات، پیشرفتهای مهمی در الگوریتمها ایجاد کرده است.وی از پژوهشگران برجسته نسل جدید نظریه الگوریتمها به شمار میرود
او بهویژه برای کار روی مسئله فر…
بنظر میرسد آپاندیس جزو اندام وستیجال نباشد
مطابق برخی پژوهشها برداشتن آپاندیس ممکن است با تغییراتی در میکروبیوم روده و افزایش خطر برخی بیماریها، مانند سرطان روده بزرگ یا حتی آلزایمر، ارتباط داشته باشد.
به نظر میرسد آپاندیس نقش مهمی در حفظ میکروبیوم روده دارد؛ مجموعهای از میلیاردها باکتری مفید که به هضم غذا، تقویت سیستم ایمنی و حفظ سلامت بدن کمک میکنند.
آپاندیس مانند یک مخزن ذخیره برای این باکتریهای مفید عمل…
#پادکست
معرفی مقاله «خفاش بودن چگونه است؟»
NoteBookLm ⭐️
Showing the 12 most recent of 20 posts we hold for @danesh_elm1404. 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 — 695,603 of 1,481,217entries 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@danesh_elm1404 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@samharrisorg named in 1 post, 8 August 2026 – 8 August 2026
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“"مطالعات علمی"” (@danesh_elm1404), 590 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/danesh_elm1404.
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.