این کانال اختصاص به معرفی و ارائه آثار ادبی , هنری و علمی استاد محمدرضا صفاری دارد .
دوستداران ایشان میتوانند از طریق کانال "محمدرضا صفاری" از انتشار آثار جدید استاد مطلع گردند.
ارتباط با ادمین👇
@e1360hoo
Created
Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
24.9 average views per post against 9,643 subscribers — an engagement rate of 0.259%. Across the 12,155 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Persian — the middle half sit between 5.73% and 23.7%, with a median of 12.3%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
118 of 118 published in the window (118 exact, 0 rounded by Telegram)
Views totalled
2,943
Mature posts only
0.313% over 26 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 4 days, net -421. 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 9,580–10,127 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 11:44
9,643
-341
7 Aug 2026, 17:56
9,984
-80
6 Aug 2026, 20:30
10,064
no change
6 Aug 2026, 20:26
10,064
first reading
Engagement
118 posts held, back to 5 August 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.259%
avg views ÷ 9,643 subscribers
Avg views / post
24.9
118 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
118
of 118 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 12 August 2026
Posts held
118 (5 August 2026 – 12 August 2026)
Views total
2,943
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 14:57 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
≈21,600
Videos
≈17,300
Links
≈43,500
Lifetime counters from Telegram’s own channel header, read 12 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
1h 01m
Average length
2m 23s
Measured directly from 26 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.
حوله را در دستشویی نگذارید !
بخارهایی که از ادرار و مدفوع متصاعد میشود تا 2 متر جابهجا شده و با قرار گرفتن روی حوله باعث بیماریهای تنفسی، پوستی و چشمی میشوند
✔️جهت اطلاع کامل به کلیپ مضرات نگهداری از وسایل در دستشویی به آدرس زیر👇
https://t.me/saffari_adabohanar/22302
که استاد محمدرضا صفاری بیان فرمودهاند، مراجعه فرمایید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_…
پرسش و پاسخ با استاد محمدرضا صفاری
اینقسمت: علائم نشاندهنده بیماری کریپتوکوکوزیس (تب دره)
لطفا برای دوستانتان و کسانی که سلامتیشان برایتان اهمیت دارد نیز ارسال کنید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffari
بیماری های غلبه سودا
افزایش بیش از اندازه سودا در بدن ممکن است موجب بروز بیماری های زیر شود:
پوست خشک
موی خشن و کلفت
بروز لکه های تیره درپوست
حلقه سیاه دور چشم
گودی زیر چشم
پیرچشمی
وز وز گوش ( به علت افزایش سودا در مغز)
تیز شدن شامه
خون سیاه و غلیظ
اشتهای کاذب و خورده خوری
کم خوابی
واریس ( به علت افزایش سودا در عروق انتهایی بدن)
عدم تمرکز و خستگی زودرس افسردگی های شدید
وسواس
بیماری های اعصاب و روان
انواع سرطان و…
جایگزین طبیعی قرص سرماخوردگی و قوی کردن سیستم ایمنی بدن با دمکرده های بی نظیر طب سنتی
دمکرده پونه:
رفع آبریزش بینی و حساسیت
دمکرده گل گاوزبان:
تقویت سیستم عمومی بدن و درمان فوری مسمومیت معده و سرما خوردگی
دمکرده نعنا:
ضد سرماخوردگی و اسهال عفونی
دمکرده بنفشه:
رفع حساسیت و سرفه های خشک
دمکرده آویشن:
رفع خلط و شستشوی مجاری گوارشی و درمان سرما خوردگی
دمکرده بابونه:
رفع میکروب معده و خون تقویت سیستم ایمنی بدن.
…
پرسش و پاسخ با استاد محمدرضا صفاری از کتبِ دایره المعارف پرندگان، به قلم استاد
این قسمت: توکای بال سرخ
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffari
شربت شونیسل و خاصیت آن بر مبنای طب سنتی
شربت شونیسل مرکب از
روغن سیاهدانه + عسل + سرکه سیب طبیعی است
قوت بخش و انرژی زا،
افزاینده اسپرم و درمان ناتوانی جنسی،
کمک به درمان فشار خون،
رفع انسداد عروق کرونری،
افزاینده جریان خون،
افزایش دهنده قوه باه و حجم منی
کنترل کننده انزال زودرس،
کمک به برطرف شدن نامنظمی عادت ماهانه،
درمان ورم های عفونی بدن،
کمک به بازشدن گرفتگی عروق بدن بخصوص عروق کرونی،
منضج و مسهل بلغم،
تقوی…
ناخنک چشم
۱هفته ۱شب در میان ۶عدد عناب درشت را سوراخ کرده در استکان آبجوش انداخته درب آنرا ببندید
صبح با جدا کردن تفاله، ازباقیمانده مایع آن بفاصله هر۳ساعت ۲قطره در چشم بریزید
✔️جهت اطلاع کامل به کلیپ درمان ناخنک به آدرس زیر👇
https://t.me/saffari_adabohanar/25888
که استاد محمدرضا صفاری بیان فرمودهاند، مراجعه نمایید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffar
سفر از پل زندگی، از دیوان اشعار استاد محمدرضا صفاری با صدای استاد
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffari
پرسش و پاسخ با استاد محمدرضا صفاری
این قسمت: بیماریهای ناشی از حسد
لطفا برای دوستانتان و کسانی که سلامتیشان برایتان اهمیت دارد نیز ارسال کنید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffari
معجزه ماست برای پوست
هر روز 15 دقیقه روی صورتتان ماست بمالید و سپس با آب سرد بشویید
بهترین روشن کننده، مرطوب کننده و جوان کننده پوست است که جای لک و جوش را از بین میبرد.
✔️جهت اطلاع کامل به کلیپ خواص و مضرات ماست به آدرس زیر👇
https://t.me/saffari_adabohanar/6977
که استاد محمدرضا صفاری بیان فرمودهاند، مراجعه نمایید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saff…
پاکسازی کلیهها از سموم
برای شستشو کلیه ها و همچنین تقویت اعصاب کافیست:
یک ق.غ بابونه را در یک قوری آب بج شانید و پس از ۱۵ دقیقه دم دادن یک استکان بخورید.
✔️جهت اطلاع کامل به کلیپ پاکسازی کلیه به آدرس زیر👇
https://t.me/saffari_adabohanar/1009
که استاد محمدرضا صفاری بیان فرمودهاند، مراجعه نمایید.
https://t.me/saffari_adabohanar
آدرس پیج اینستاگرام⬇️
www.instagram.com/ostad_mohamadreza_saffari
مصرف روغن حیوانی که به آن روغن کرمانشاهی نیز می گویند (روغنی که از دوغ یا ماست گوسفند و یا گاو حاصل می شود) سبب افزایش کلسترول مفید خون(HDL) و تقویت قوای جسمانی و جنسی،افزایش شیر مادر،مفید در بهبود سریع شکستگی استخوان و کاهش خطر بیماریهای قلبی و عروقی می گردد.
مقدار مصرف روزانه به مدت یکماه :یک قاشق غذاخوری یا ترکیب با غذا
✔️جهت اطلاع کامل به کلیپ خواص و مضرات روغن حیوانی به آدرس زیر👇
https://t.me/saffari_adaboh…
Signed E
Showing the 12 most recent of 118 posts we hold for @saffari_adabohanar. 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 — 1,143,919 of 1,151,006entries 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“طبیب خود باشید” (@saffari_adabohanar), 9,643 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/saffari_adabohanar.
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.