Channel
@scientific_resources
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
16,134subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| 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 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/scientific_resources |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 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 |
31 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 16 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 31 (21 July 2026 – 12 August 2026) |
| Views total | 63,150 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 01:03 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.
Lifetime counters from Telegram’s own channel header, read 13 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.
Measured directly from 5 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.
ترکیب دموکراسی و بروکراسی به حدی فرد رو از نتیجهی انتخاباتش دور میکنه که عملا موجب نوعی بیمنطقی سیاسی میشه و افراد چون به صورت در لحظه و شخصا هزینهی اشتباهشون رو نمیپردازن با همون تصمیمات پیش میرن و در نهایت منجر به این میشه که این اشتباهات و اشتباهات دیگران روی هم جمع بشن و احتمالا فقط وقتی اوضاع خیلی خیط شده با نتیجهی این اشتباهات رو به رو شن: جایی که دیگه آزادی مفت فروخته شده و آزادی عمل به سطح بالای محدو…
من خیلی وقتها شده از این بگم که چطور بدرستی استفاده نکردن کلمات و مفاهیم این اجازه رو به سواستفادهگران میده تا با گشاد کردن معنی مفاهیم، بخوان رنگ عوض کنن و چیزهایی که نمیخوایم رو توی پاچمون فرو کنن. توی این مقاله میتونید این رویکرد رو از سوسیالیستها به عنوان نمونه بر سر مسئلهی بیگانهسازی بخونید و ببینید چطور اگر اجازه بدیم کلمات و معانی تحریف شن، در نهایت هزینهاش رو ما باید بپردازیم.
آیا ممکنه ما هنر و کشاورزی رو با تقلید از حیوانات یاد گرفته باشیم؟ با اینکه اثباتش تقریبا غیرممکنه چون هرگز نمیتونیم از این سر در بیاریم که انسانهای نخستین چطور فکر میکردن اما برخی چیزهایی که در باستانشناسی میبینیم میتونن مارو به فکر وا دارن. توصیه میکنم این مطلب رو بخونید و شگفتزده شید! لینک مطلب مرتبط
در ادامه نقد ریسرچ میناستریم روان در ساینس این هم مطلب جالبیه: A Story of Bad Science: How Defenders of Antidepressant Efficacy Make Their Case لینک مطالعه
نقدی بر ریسرچ مین استریم روان در ساینس با معرفی کتاب در این زمینه: https://www.madinamerica.com/2026/07/marianne-apostolides/?mc_cid=756d070bcb&mc_eid=8f2289ecc5
من به منابعی که این عزیز معرفی کرده لیستی که به صورت باستانشناسانه هم این موضوع رو مورد بررسی قرار میدن رو اضافه میکنم. Leonardo Capezzone & Marco Salati, L’Islam sciita. Storia di una minoranza, 2006 Mohammad Ali Amir-Moezzi & Christian Jambet, Qu’est-ce que le shi‘isme?, 2004 Michael Cook (ed.), The New Cambridge History of Islam, 2010 Encyclopaedia Iranica, 1985–present Encyclopaedia of Islam, 1954–2005 P…
https://telegra.ph/در-باب-تقدم-تئوری-بر-داده-چگونه-عینکهای-ذهنی-واقعیت-را-برای-ما-معنا-میکنند-08-07
مرتبط: https://youtu.be/ORgKY9AlybA?si=fp7Mx2LWAMVGzh_A
شاید اگه همه میدونستن هوش مصنوعی چطور شکل گرفته و کار میکنه، انقدر سوالات بیربط ازش نمیپرسیدن. تصور بعضی از کاربرها اینه که چون هوش مصنوعی به دیتای عظیمی دسترسی داره و میتونه همزمان به کلش دسترسی داشته باشه، پس مثل یه ناظر بیطرف عمل میکنه؛ در حالی که نه تنها ناظر بیطرف نیست، بلکه به بایاس خودش هم آگاهی نداره. موقع خوندن یه کتاب میشه فهمید که دیدگاه این نویسنده از کدوم جریان فکری و فلسفی براومده، ولی هوش مصنوع…
قشر پیشپیشانی (Prefrontal Cortex) در زنان و مردان در زنان: قشر پیشپیشانی بهطور متوسط زودتر به بلوغ ساختاری و عملکردی میرسد. برخی مطالعات تفاوتهای میانگین در ضخامت قشری، حجم نسبی ماده خاکستری و الگوهای اتصال این ناحیه را گزارش کردهاند. از نظر عملکردی، شبکههای پیشپیشانی در کنترل شناختی، مهار پاسخ، تنظیم هیجان، حافظه کاری و تصمیمگیری نقش دارند و تفاوتهای جنسی مشاهدهشده در نحوه بهکارگیری این شبکهها احتمالاً…
اما نکته مهمتر این است که تصمیمگیری محصول قشر پیشپیشانی بهتنهایی نیست. PFC را میتوان بخشی از یک سیستم گسترده دانست که دائماً اطلاعات را از سایر شبکههای مغزی دریافت و با یکدیگر ادغام میکند. آمیگدالا اطلاعات مربوط به اهمیت هیجانی و تهدید، هیپوکامپ اطلاعات وابسته به حافظه و تجربه گذشته، اینسولا اطلاعات مربوط به وضعیت درونی بدن، استریاتوم و هسته اکومبنس اطلاعات مربوط به پاداش، انگیزه و یادگیری تقویتی و هیپوتالاموس…
بعضی از مطالب و منابع از نظر فلسفی و فکری به نظر من خیلی راهنمای خوبیان تا آدم بتونه نظم بده به تفکراتش. این مطلب به نظرم از اون دست مطالبه. آدم قرار نیست لزوما بپذیره، اما قراره تفکر کنه.
Showing the 12 most recent of 31 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.
Citation-graph rank — 261,771 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.
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.
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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“منابع بیگانه” (@scientific_resources), 16,134 subscribers as measured 12 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.