تالار شیاطین - ولادیمیر لنین @Learn_Cast @LearnCast

Channel
منابع بیگانه
@scientific_resources
On this record: Growth · Engagement · What this channel posts · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
16,054subscribers
-78 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 | -1001787008508 |
|---|---|
| Type | Channel |
| Username | @scientific_resources |
| Description | برای پیش و بیش از هرچیز با زیست پیشین خود، بیگانه شدن. چنل اصلی @emicalll لینکهای مرتبط: https://linktr.ee/Nikally |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/scientific_resources |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 19:47 | 16,054 | -7 |
| 28 Aug 2026, 20:53 | 16,061 | -11 |
| 27 Aug 2026, 18:27 | 16,072 | -15 |
| 26 Aug 2026, 18:11 | 16,087 | -9 |
| 25 Aug 2026, 19:06 | 16,096 | -4 |
| 24 Aug 2026, 20:38 | 16,100 | -5 |
| 23 Aug 2026, 08:48 | 16,105 | -5 |
| 20 Aug 2026, 16:08 | 16,110 | -7 |
| 19 Aug 2026, 13:33 | 16,117 | -2 |
| 18 Aug 2026, 15:22 | 16,119 | -6 |
| 17 Aug 2026, 13:09 | 16,125 | -3 |
| 16 Aug 2026, 07:49 | 16,128 | -5 |
| 14 Aug 2026, 20:56 | 16,133 | -3 |
| 13 Aug 2026, 08:24 | 16,136 | +2 |
| 12 Aug 2026, 07:35 | 16,134 | -5 |
| 11 Aug 2026, 08:43 | 16,139 | -6 |
| 9 Aug 2026, 09:11 | 16,145 | +7 |
| 8 Aug 2026, 12:01 | 16,138 | -1 |
| 7 Aug 2026, 15:10 | 16,139 | +7 |
| 7 Aug 2026, 10:18 | 16,132 | first reading |
Engagement
46 posts held, back to 21 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 47 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.2%
- avg views ÷ 16,054 subscribers
- Avg views / post
- 1,800
- 37 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 37
- of 46 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 1 of 37 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 46 (21 July 2026 – 28 August 2026) |
| Views total | 66,534 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 03:42 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
- ≈1,100
- Videos
- ≈508
- Links
- ≈1,990
Lifetime counters from Telegram’s own channel header, read 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 16m 31s
- Average length
- 2m 22s
Measured directly from 7 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 46 we hold a reading for · 2%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @scientific_resources. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 46 most recent posts we hold for this entry, published 21 July 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
🎞🎞🎞 مالکیت خصوصی (فردی) و اخلاقیات
این لیست تعداد مسائلش شد ۱۵۰۰۰ تا. به نظر کمترین فایده AI این بوده که همچین لیستهایی تهیه بشه. https://www.unsolvedmath.com/
اینجا کوتاه و مختصر مفهوم ژاکوبین رو توضیح داده. https://www.proswit.com/jacobian_explained
بهترین حمایتی که کمونیسم تاکنون دریافت کرده، نه از سوی ارتش سرخ، بلکه از جانب روشنفکران غربیای بوده است که مایل بودند جنایات آن را توجیه کنند. رایمون آرون در کتاب خود به نام افیون روشنفکران (منتشرشده در سال ۱۹۵۵) توضیح میدهد که چگونه مارکسیسم همچون دینی دنیوی عمل میکند. قدرت این مکتب بیش از آنکه ناشی از دقت تجربیاش باشد، برخاسته از چشمانداز کلگرایانهای است که ارائه میدهد: تاریخی دارای جهت، معنا و مقصدی نویدب…
داشتم توی تلگرام دنبال یه چیزی میگشتم که دوتا چنل آرشیو غنی برای معماری و مسائل مربوط بهش پیدا کردم گفتم اینجا هم بذارم شاید بدرد شما بخوره یا شاید کسی رو داشته باشید بتونه استفاده کنه: چنل یک چنل دو
«انسان آزاد دقیقاً نقطهی مقابل «گلهی خاکستری» است. او کسی است که صبح از خواب برمیخیزد و میاندیشد: این زمان من، انرژی من و زندگی من است. او ارزشها را میآفریند؛ زیرا آنها را برای خود میخواهد—نه از روی عشق به همسایه، نه از سر وظیفه، بلکه از روی منافع شخصیِ خردمندانه. از دلِ همین خودگرایی (به معنای فلسفیِ رند) است که بیشترین شکوفایی برای همه پدید میآید: از طریق تبادل داوطلبانه، نوآوری و رقابت. دولت، که در پی شک…
بحث بر سر تعاریف، طولانیترین انحراف در تاریخ سیاسی است، و شما در دام آن افتادید. سوسیالیستها میگویند فاشیستها راستگرا هستند. فاشیستها میگفتند سوسیالیست نیستند. کمونیستها هر دو را محکوم کردند. در همین حال، در ونزوئلا در سال ۲۰۱۶، در حالی که دولت قیمت آرد را کنترل میکرد، مردم در کاراکاس برای غذا به شکار کبوتر روی آورده بودند. برچسبِ روی ایدئولوژی برای مردی که کبوتر میخورد تفاوتی ایجاد نمیکرد. آن را همانچه…
ادامه... من مدتی از یادگیری دانشم رو صرف یادگیری کارکرد مغز انسان، تصمیمگیری و مسیرهای تصمیمگیری کردم. نکتهی حائز اهمیت وقتی دربارهی تفکر الگوریتمی ماشین و تفکر انسانی صحبت میکنیم اینه که ما خالق تفکر سیستمی و الگوریتم ماشینی هستیم و این به این معناست که بخشی از تفکر انسانی رو در آنچه که خلق کردیم دمیدیم و به جا گذشتیم. شکل نوعی انعکاس میمونه که نوعی از شیوهی فکری انسانی رو میتونیم از طریقش بفهمیم اما نباید ک…
من توی زندگیم این شاخه به اون شاخه زیاد پریدم و تقریبا یه سرکی توی اغلب رشتههای ممکن کشیدم از زمانی که رشتهام بیوتک بود تا الان که انسانشناسیه هرجا شده یه سری زدم و معتقدم هر اطلاعاتی رو باید بلعید چرا که چه خوب و چه بد، به انسان چشم دیدن میده چه برای موافقت و مخالفت. من از کودکی به شدت روی ریاضی خوندنم تاکید شد و استدلال ریاضیاتی بهم کمک کرد بتونم زبان رو راحتتر بفهمم. اما این متن رو نوشتم که نه دربارهی ریاضی …
تورم نه ناشی از اقدامات شهروندان خصوصی، بلکه معلول عملکرد دولت است: یعنی افزایش مصنوعی عرضهی پول که برای تأمین کسری بودجه ضرورت یافته است. هیچ اختلاسگر شخصی یا بانکزنی در طول تاریخ نتوانسته است پسانداز مردم را در مقیاسی غارت کند که با غارت ناشی از سیاستهای مالی دولتهای دولتمحور قابل مقایسه باشد. — رین اِند 🆔 @liberty_institute | انستیتو لیبرتی
سه جزوهی ۱. تفکر انتقادی ۲. هوش مصنوعی مولد ۳. رویکرد تصمیمگیری اثر آقای محمد علی جنتخواه ، آزادیخواهی که همواره برای رشد و شکوفایی ایران نوشته و منتشر کرده #آزادی_اندیشه
Showing the 12 most recent of 46 posts we hold for @scientific_resources. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 348,053 of 1,626,884entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
@for_ashah · 3815 postsLiberty Institute / انستیتو لیبرتی
@liberty_institute · 3,4494 postsبیگانه
@emicalll · 15,0963 postsLearn Cast
@Learn_Cast · 7,4122 postsMathematical Musings
@MathematicalMusings · 4,1522 postsPourya's Channel
@pouryachannel · 6462 postsسهیل پروین
@soheilparvin2026 · 1212 postsانسانشناسی
@anthropology_ehtnology · 1,9671 postMadson | جسمی در زمان
@itsmadson · 3211 postمهرداد مولوی
@noorgahema · 2391 postPlayfulanthropologist
@playfulanthropologist · 1071 post
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
@homosapiensfa · 43,683
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 28 August 2026
@doctor_zarifi · 56,133
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 23 August 2026
@jannatkhah · 107,889
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 15 August 2026
@Apply_Finland · 62,918
Telegram ranks this channel #21 of 69 here — alongside 68 others — read 24 August 2026
@freeforbiddenbooks · 40,954
Telegram ranks this channel #39 of 80 here — alongside 79 others — read 30 August 2026
@AI_in_Research · 245,312
Telegram ranks this channel #78 of 92 here — alongside 91 others — read 19 August 2026
This channel appears in 6 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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“منابع بیگانه” (@scientific_resources), 16,054 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/scientific_resources.
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.