تحلیل احادیث امامیه در پارادایم حدیثپژوهی غربی | مصطفی موحدیفر https://t.me/nabardb

Channel
جستاری در مباحث روششناسی
@raweshshenasi
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
726subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001233414323 |
|---|---|
| Type | Channel |
| Username | @raweshshenasi |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/raweshshenasi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 15:19 | 726 | +1 |
| 6 Aug 2026, 16:14 | 725 | no change |
| 6 Aug 2026, 13:29 | 725 | first reading |
Engagement
20 posts held, back to 26 February 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
- 12.7%
- avg views ÷ 726 subscribers
- Avg views / post
- 92.3
- 12 posts measured
- Reaction rate
- 0.897%
- reactions ÷ views · ER floor
- Posts in window
- 12
- 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 2 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (26 February 2026 – 6 August 2026) |
| Views total | 1,108 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 16:14 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
9 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 55.6% | |
| 👏 | 3 | 33.3% | |
| 👍 | 1 | 11.1% |
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 5 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 9reactions 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 26 February 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.
Recent posts
پیادهسازی کامل (بخش ارائهشده از فایل صوتی) عنوان کلی: تحلیل احادیث امامیه در پارادایم حدیثپژوهی غربی سخنران: مصطفی موحدیفر مقدمه و زمینه بحث سلام علیکم. خیلی ممنونم از تشریفات شما. خیلی باعث افتخار من است که در کنار شما هستم. یکی از کانتریبوشنهایی که این مدل کار دارد این است که در آکادمیای فارسی خیلی پذیرفته شده که حدیث امامی بر اساس کتاب منتقل شده و اسناد نشانهای هستند از انتقال کتبی یک کتاب از گذشته به دست مت…
چهار فاز انتقال حدیث (بر اساس موتکی و شلر، با تعدیل): فاز اول (تا حدود ۱۷۵ هجری): استفاده شخصی از نوشتهها. افراد نتایج را برای خودشان یادداشت میکردند (personal notes). فاز دوم (۱۷۵–۲۵۰): شکلگیری تدریجی مصنّفات. نوشتهها هنوز کتاب عمومی مدرسه نبودند. فاز سوم: عمومیتر شدن و دستهبندی دقیقتر. فاز چهارم: رسیدن به کتب canonical مثل کافی، فقیه، تهذیب و استبصار. مثال: حریز بن عبدالله. گزارشهای فهرستی متناقض است (یکی ک…
نکته های آموزشی برای فهرست نویسان و سندخوانان/ دفتر اول/ 1400 ش/ نشر و اهدا مجمع ذخائر اسلامی https://t.me/alfehrest/1174 @boroujerdilib
اگر دوباره جوان شوید چه کار میکنید پاسخ صوتی از علامه طباطبایی
👏1
🔵 مجلس رونمایی از «قرآن زعفرانی» در کتابخانه ملی ایران 🔹 مجلس رونمایی از «قرآن زعفرانی؛ کهنترین نسخه کامل مورخ فارسی» با حضور جمعی از استادان زبان و ادبیات فارسی، نسخهشناسان و پژوهشگران مطالعات قرآنی برگزار میشود. 🔹 «قرآن زعفرانی» نسخهای کامل از قرآن کریم با ترجمه فارسی میانسطری است که در سال ۵۴۶ هجری قمری به دست ابوالفخر بن ابیالفضل الزعفرانی کتابت شده است. این اثر از منابع ارزشمند برای پژوهش در تاریخ زبان…
دعوة لتقديم الأوراق البحثية: كتابة المذهب الشيعي: المخطوطات والمحفوظات من العصور الوسطى إلى أوائل العصر الحديث زهرة أزهر تاريخ : الثلاثاء 8 ديسمبر 2026 - الأربعاء 9 ديسمبر 2026 موقع: مكتبة جامعة لايدن دعوة لتقديم الأوراق البحثية ندعوكم لتقديم مقترحاتكم لورشة عمل حول المخطوطات والمحفوظات الشيعية من العصور الوسطى وبداية العصر الحديث ، والتي ستُعقد في جامعة لايدن يومي 8 و9 ديسمبر 2026. تهدف الورشة إلى تعزيز الحوارات…
Photo, posted without a caption
در ادبیات مطالعات تاریخ و به طور خاص فلسفه علم تاریخ، دو اصطلاح #تاریخ_علمی و #تاریخ_رستگاری به دو پارادایم اشاره دارد که در کنار یکدیگر روایتی از آنچه در گذشته بوده به ما میدهند. روایت تاریخ علمی اگرچه با شواهد عینی سروکار دارد و یافتههای ملموس و مشهود را دستمایه خود قرار میدهد، اما در نهایت بینیاز و خالی از تفسیر و دخالت سوژه در انسجام بخشی و معنایابی آن دادهها نیست. در مقابل تاریخ رستگاری از ابتدا دادههای …
میتوان بسیاری از روایتهای مهم ادیان ابراهیمی را در سه لایه تحلیلی از یکدیگر تفکیک کرد. این تفکیک به معنای نفی یا اثبات هیچیک از این لایهها نیست، بلکه صرفاً نشان میدهد که هر لایه با روش و منطق متفاوتی قابل مطالعه است. لایه نخست: واقعیت تاریخی (Historical Reality) این لایه به این پرسش پاسخ میدهد که در گذشته چه رخ داده است؟ موضوع آن، رخدادهای واقعی است؛ خواه بتوان همه جزئیات آنها را بازسازی کرد یا نه. تاریخنگار…
❤1
#فایل_صوتی @studiesofshia ❇️ روششناسی قرآنپژوهان در غرب 🔹دکتر احمد پاکتچی مرجع تخصصی #مطالعات_شیعه_در_غرب @studiesofshia
💠 معرفی وبسایت کُرپوس کُرانیکوم (Corpus Coranicum) 🔸 آدرس سایت : 🌐 https://corpuscoranicum.de 🔰 امکانات اصلی معرفی شده در این ویدئو: 🔹 متن عربی قرآن به همراه آوانگاری لاتین و ترجمۀ آلمانی به همراه تحلیل صرفی 🔹 تصاویر نسخ خطی متقدم قرآن 🔹 اختلاف قرائات 🔹 تفسیر سورهها در سه سطح سنت اسلامی، تفسیر زبانی و ادبی. 🔰 توضیحات بیشتر دربارۀ پروژه کورپوس کورانیکوم: https://t.me/inekas/292 #انعکاس_ابزار @inekas
Showing the 12 most recent of 20 posts we hold for @raweshshenasi. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
@azbarresihayetarikhi · 8,9051 postآرشیو کانال درسگفتار فلسفه و معارف
@dghjvjk · 8,0191 postکتاب فرصت
@forsatbook · 7,5521 postInekas | انعکاس
@inekas · 7,9191 postمطالعات اسلامی | Islamic Studies
@islamicstudies · 2,2341 postموسسه کتاب آرایی ایرانی
@ketab_araie_irani · 1,8761 postنشر فرهنگ سیادت
@siadatpub · 721 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.
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
@raweshshenasi 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.
named in 2 posts, 8 August 2026 – 10 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“جستاری در مباحث روششناسی” (@raweshshenasi), 726 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/raweshshenasi.
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.