4 measurements spanning 7 days, net -2. 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 1,066–1,069 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 10:14
1,066
-3
10 Aug 2026, 13:26
1,069
+2
7 Aug 2026, 06:53
1,067
-1
6 Aug 2026, 21:17
1,068
first reading
Engagement
20 posts held, back to 11 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
24.1%
avg views ÷ 1,066 subscribers
Avg views / post
257
3 posts measured
Reaction rate
2.08%
reactions ÷ views · ER floor
Posts in window
3
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
20 (11 February 2026 – 6 August 2026)
Views total
771
Reactions total
16
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 21:17 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
233 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 43.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
102
43.8%
🔥
55
23.6%
👌
42
18.0%
👍
20
8.58%
👎
12
5.15%
🕊
2
0.858%
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 20 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 233reactions 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 11 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.
📌فواید ضربههای ملایم و ریتمیک به قفسه سینه (Chest Tapping)
🔹 کمک به کاهش استرس و اضطراب
🔹 ایجاد آرامش و افزایش ذهنآگاهی (Mindfulness)
🔹 کمک به احساس تنفس عمیقتر و کاهش تنش قفسه سینه
🔹 تخلیه تنشهای احساسی
🔹 افزایش احساس انرژی و کاهش احساس گرفتگی بدن
🔹 کمک به تمرکز و آمادگی برای مدیتیشن
برای بسیاری از افراد، مراسم عزاداری با ایجاد فرصت برای ابراز احساسات، تقویت حس تعلق و حمایت اجتماعی، میتونه به کاهش فشار روانی و…
🩺 پروفسور نضال صرافزادگان
استاد دانشگاه علوم پزشکی اصفهان که در سال ۲۰۲۵ موفق به دریافت جایزه
🏆 Claude Lenfant WHL Excellence
از سوی اتحادیه جهانی فشار خون شده؛
جایزهای معتبر که به پژوهشگرانی با تأثیر جهانی در پیشگیری و کنترل فشار خون اعطا میشه.
🫀 دکتر صرافزادگان سالها در زمینه پیشگیری از بیماریهای قلبی–عروقی، کنترل فشار خون و ارتقای سلامت عمومی پژوهش کرده و دستاوردهای او در سطح بینالمللی مورد توجه قرار گرفت…
💭 تا به حال فکر کردی که چرا دو نفر با یه بیماری مشابه، واکنشها و روند بهبودی کاملاً متفاوتی دارن؟
الگوی زیستی-روانی-اجتماعی، که در سال ۱۹۷۷ توسط روانپزشک آمریکایی George L. Engel معرفی شد، نگاهی جامعتر به سلامت داره.
🧩 این مدل معتقده که برای درک کامل سلامتی یه فرد، باید سه عامل زیر را در نظر گرفت:
1️⃣ عوامل زیستی (Biological)
2️⃣ عوامل روانی (Psychological)
3️⃣ عوامل اجتماعی (Social)
💥چرا این الگو مهمه؟
این ر…
🎓 ۶ ابزار هوش مصنوعی رایگان که هر دانشجویی باید بشناسه
💬 ChatGPT (نسخه رایگان)
برای فهمیدن مفاهیم سخت، خلاصه کردن جزوه، ساخت فلشکارت و طراحی سؤال امتحانی.
📚 NotebookLM
جزوه یا PDFت رو آپلود کن؛ برات خلاصه، فلشکارت، آزمون و حتی فایل صوتی آموزشی میسازه. یکی از بهترین ابزارهای رایگان برای درس خوندن.
🔎 Perplexity AI
وقتی دنبال جواب همراه با منبع معتبر هستی، از گوگل خیلی سریعتره و منابعش رو هم نشون میده. نسخه رایگ…
🩸میدونستی اولین واکسن یه نوزاد، ممکنه اصلاً واکسن نباشه؟!
شیر مادر فقط برای سیر شدن نوزاد نیست. داخلش کلی آنتیبادی، سلولهای ایمنی و مواد مفید وجود داره که به بدن نوزاد کمک میکنه از همون روزهای اول، بهتر با میکروبها بجنگه. 🦠
💡جالبه که قرآن هم بیش از ۱۴۰۰ سال پیش به اهمیت این موضوع اشاره کرده:
«وَالوَالِدَاتُ يُرْضِعْنَ أَوْلَادَهُنَّ حَوْلَيْنِ كَامِلَيْنِ...»
«مادران، فرزندان خود را دو سال کامل شیر بدهند...»
…
📖 گبور مته در کتاب «وقتی بدن نه می گوید» به نکته جالبی اشاره میکنه:
گاهی مشکل اصلی، خودِ اتفاقات زندگی نیست؛ بلکه استرسی است که فرصت تخلیه و پردازش پیدا نمیکند.
وقتی بدن برای مدت طولانی در حالت آمادهباش بماند، ترشح هورمونهایی مثل کورتیزول و کاتکولآمینها ادامه پیدا میکند.
این وضعیت در کوتاهمدت برای بقا مفید است، اما اگر مزمن شود، میتواند روی خواب، سیستم ایمنی، فشار خون، متابولیسم و حتی روند ترمیم
بافتها اثر…
🩺 آوا پزشک؛ یک نمونه موفق از شرکتهای دانشبنیان پزشکی ایران
تا چند سال پیش خیلی از تجهیزات پیشرفته پزشکی و آزمایشگاهی باید از خارج کشور وارد میشد، اما امروز شرکتهای دانشبنیان ایرانی ثابت کردن که میتونن در همین حوزه هم حرفهای زیادی برای گفتن
داشته باشن.
یکی از نمونههای موفق، آوا پزشک هست؛ شرکتی که با تکیه بر دانش متخصصان ایرانی، در زمینه تولید تجهیزات پزشکی و آزمایشگاهی فعالیت میکنه و بخشی از نیاز مراکز درما…
🧠 وقتی مغز، دروازهبان درد میشود
💭 همه ما فکر میکنیم درد یک سیستم هشدار ساده و خطی است: هرچه آسیب شدیدتر باشد، درد بیشتری احساس میکنیم. اما علم درد، داستان دیگری برایمان روایت میکند.
💬 در سال ۱۹۶۵، رونالد ملزاک و پاتریک وال، نظریهٔ انقلابی «دروازهبانی درد» (Gate Control Theory) را مطرح کردند. بر اساس این نظریه، یک «دروازه» در نخاع وجود دارد که میتواند عبور سیگنالهای درد به مغز را مهار یا تسهیل کند. این درواز…
🔬علم، عزتآفرینترین سرمایهٔ یک ملت
از نگاه رهبر شهید، علم فقط ابزار رفاه نیست، بلکه مهمترین ابزار آبرو، پیشرفت و اقتدار است:
• آبرو: ملتی که به مرزهای دانش میرسد، در جهان با احترام رفتار میشود.
• پیشرفت: بدون علم، پیشرفتها ناپایدار و تقلیدیاند.
• اقتدار: قدرت نظامی، اقتصادی و سیاسی ریشه در توان علمی دارد.
🔑 تفاوت مهم: علم وقتی مایهٔ آبروست که از مصرفگری صرف عبور کند و به تولید دانش نو برسد.
#رهبر_شهید | #ع…
❤15
Showing the 12 most recent of 20 posts we hold for @MAZeYarteam. 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 — 373,624 of 1,480,688entries 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.
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
Named by 3 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“MAZe YAR | مازیار” (@MAZeYarteam), 1,066 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/MAZeYarteam.
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.