Channel
@s_m_narimani
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
240subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001371415112 |
|---|---|
| Type | Channel |
| Username | @s_m_narimani |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/s_m_narimani |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 06:04 | 240 | -1 |
| 7 Aug 2026, 02:32 | 241 | no change |
| 6 Aug 2026, 16:30 | 241 | first reading |
19 posts held, back to 29 January 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 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 28 July 2026 |
|---|---|
| Posts held | 19 (29 January 2026 – 28 July 2026) |
| Views total | 180 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:32 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.
21 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 47.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 10 | 47.6% | |
| ❤ | 5 | 23.8% | |
| 🤔 | 3 | 14.3% | |
| 👎 | 1 | 4.76% | |
| 👏 | 1 | 4.76% | |
| 🙏 | 1 | 4.76% |
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 10 of the 19 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 29 January 2026 to 28 July 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.
وقتی از چند هزار سال تمدن صحبت می کنیم یعنی این. ۴۵ سال است که این مرد بختیاری با «کَلَک»؛ قایق دستسازش، مردم، بیمارها و حادثهدیدهها را از رودخانه خروشان رد میکند. بیهیاهو و بیادعا، عمری است که راه نجات آدمها شده است... @Midanesti
Signed سید مهدی نریمانی
ویرانه کرد کاخ بلند یزید را زینب تبر نداشت ولیکن خلیل بود ❖ آن گاه که یزید در مجلس خود گستاخی های بسیار کرد و از پیروزی خود سخن گفت، حضرت زینب «سلام الله علیها» برخاستند و پس از حمد خداوند، خطاب به آن ملعون فرمودند: «ای یزید! آیا میپنداری که چون اطراف زمین و آفاق آسمان را بر ما بستی و راه چاره را بر ما مسدود نمودی، تا ما را همانند برده به هر سو کشاندند، ما نزد خدا خواریم و تو نزد او گرامی هستی؟! و این غلبهٔ تو بر…
Signed سید مهدی نریمانی
✔️ قال الشیخ البهائی(قدّس سرّه) في أحوال بعض الرّواة: كلّ حميدٍ حميدٌ. كلّ جميلٍ جميلٌ. كلّ شعيب خالٍ عن العيب. كلّ عاصمٍ حَسَنٌ الّا عاصم بن الحسن. كلّ يعقوب بلا خيبة الّا يعقوب بن شيبة. كلّ سالمٍ غيرُ سالم. كلّ طلحة طالحٌ. 📚 الوجیزة فی علم الدرایة، الشیخ البهائی ص53 🆔 @s_m_narimani
Signed سید مهدی نریمانی
السيد علي السيستاني: إن مراجعة الفقهاء إلى التهذيب أكثر منها إلى الكافي و الفقيه. آیتالله سیستانی: فقهای (قدیم) ببیشتر به کتاب تهذیب مراجعه میکردند نسبت به کتابهای کافی و من لا یحضله الفقیه. منار العروة تقریرات ابحاث السید السيستاني في الصوم: ج۳، ص۹۴ 🆔 @s_m_narimani
🙏1
Signed سید مهدی نریمانی
صاحب حدائق معتقد است بسیاری از روایات تهذیب دچار تحریف است و حتی میفرماید کسی که با کتاب تهذیب، انس داشته باشد میداند کمتر روایتی یافت میشود که در آن تحریفی نباشد. محقق خویی نیز اصل این سخن را تایید میکند؛ اما آن را مبالغهآمیز میدانند. #مطالب_ارسالی 🆔 @s_m_narimani
🤔1
Signed سید مهدی نریمانی
✳️ بیانات آیت الله #شبیری #زنجانی در 10 مرداد 96 : 🔷 ما که #نجف رفتیم برخی از آقای #صدر خیلی تعریف می کردند . من اول باور نمی کردم ، ولی بعد که با هم مانوس شدیم و خیلی با هم بودیم دیدم فکر ایشان خیلی جوّال است و سرعت انتقال فوق العاده ای دارد. منتهی من درباره ایشان دو #اشکال به نظرم می آید : 🔶 اشکال اولِ من به همه کسانی که ذکاء و سرعت انتقال دارند از جمله به آقای خویی هم وارد است که گاهی به #کلمات #قوم دقت نمیکنند…
👍2👏1
Signed سید مهدی نریمانی
🚨 چند «کد مخفی» برای حرفهایتر حرف زدن با ChatGPT و AI احتمالاً این کلمات عجیب را دیدهاید که بعضیها اول پرامپت مینویسند: "Human" "EL10" "X10THINK" "KILLCRITIC" "ALT3" اما اینها دقیقاً چهکار میکنند؟ اینها در واقع «مینیپرامپت» هستند؛ یعنی چند کلمه کوتاه که به هوش مصنوعی میگویند: «چطور فکر کن» و «چطور جواب بده» نه هکاند، نه جادو 😄 فقط جهتدهی هوشمندانه به مدل هستند. ━━━━━━━━━━━ 🔹 "Human" جواب را طبیعی…
Signed سید مهدی نریمانی
💢۳ ابزار هوشمند برای آمادهسازی ارائه دانشگاهی 1⃣ وبسایت Slidesgo.com ▫️ کلی قالب آماده و رایگان داره ، حتی میتونی موضوعت رو بهش بگی تا قالب مناسب رو برات پیدا کنه! 2⃣ وبسایت Beautiful.ai ▫️ بدون اینکه طراحی بلد باشی میتونی ارائه های حرفهای بسازی ، چیدمان اسلاید ها هم همیشه به صورت خودکار مرتبه! 3⃣ وبسایت Dokie.ai ▫️ هر نوت یا متن خامی رو به اسلاید و داکیومنت تبدیل میکنه و میتونه اطلاعات رو به صورت هوشمند …
❤1
Signed سید مهدی نریمانی
این یک مدرسه اروپایی مدرن ۲۰۲۶ نیست! بلکه یک مدرسه عشایری دورافتاده در حدود ۵۰ سال پیش در دوران استاد محمدبهمن بیگی در #ایران است. محمّد بهمنبیگی نویسندهٔ ایرانی از ایل قشقایی بود. او بنیانگذار آموزش و پرورش عشایری در ایران بود. روحشون شاد🕊 @Iran_ta_abad
Signed سید مهدی نریمانی
❓آیا واقعه غدیر بر جانشینی و ولایت حضرت علی(ع) دلالت میکند? پ.ن: در فایل پیوست، چهارده مرتبه اشاره حضرت علی(ع) به واقعه غدیر اشاره شده است. 🔗 @s_m_narimani
👍2
Signed سید مهدی نریمانی
پس از گذشت یکسال و اندی، نکات مطرح شده توسط آیتالله سیستانی، بهتر قابل فهم است. از نقشه آمریکا برای ایران، اولویت دادن به حفظ نظم در ایران نه بقای اسامی و ...
🤔1
Signed سید مهدی نریمانی
🔺 با تسلیت شهادت مقام معظم رهبری (ره)، وظیفه مقلدان ایشان بر اساس فتوای مراجع عظام تقلید به شرح ذیل است: 🔸الف) مجتهد فوت شده نسبت به مجتهد زنده، اعلم است: - بقاء بر تقلید از میت واجب است. (آیات عظام سیستانی، شبیری، وحید، مکارم، نوری،جوادی) - بقاء بر تقلید از میت جایز است. (آیت الله مظاهری) - احتياط واجب اين است كه در فتاوايى كه از وى فرا گرفته باقی بماند. (آیت الله سبحانی) 🔸ب) مجتهد میت و زنده مساوی باشند یا مکلف…
👍1👎1
Signed سید مهدی نریمانی
Showing the 12 most recent of 19 posts we hold for @s_m_narimani. 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 — 426,100 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“سید مهدی نریمانی زمان آبادی” (@s_m_narimani), 240 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/s_m_narimani.
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.