5 measurements spanning 23 days, net +95. 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 79–202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 17:56
188
+80
10 Sept 2026, 15:38
108
-1
2 Sept 2026, 00:05
109
+14
26 Aug 2026, 11:33
95
+2
26 Aug 2026, 02:00
93
first reading
Engagement
20 posts held, back to 30 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.1%
avg views ÷ 188 subscribers
Avg views / post
66.0
1 post measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
1
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 24 August 2026
Posts held
20 (30 July 2026 – 24 August 2026)
Views total
66
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Aug 2026, 02:00 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
53 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 45.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
24
45.3%
🔥
11
20.8%
👏
8
15.1%
🥰
6
11.3%
👍
4
7.55%
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 17 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 53 reactions 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 30 July 2026 to 24 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.
⚠️ یک نکته مهم درباره دستهبندی بخشهای مغز
بچهها این قسمت رو حتماً دقت کنید، چون ممکنه بین منابع مختلف با دستهبندیهای متفاوتی مواجه بشید.
📚 در منبع کلب (منبع وزارت بهداشت)، دینسفال در دستهبندی ساقه مغز قرار گرفته.
اما در منابع وزارت علوم، این دستهبندی به این شکل نیست و دینسفال معمولاً در کنار بخشهای مغز پیشین در نظر گرفته میشود.
🔴 پس اگر در منابع مختلف دیدید که جایگاه دینسفال متفاوت بیان شده، فکر نکنید حت…
🧠 چرا رفتار جانوران از نظر پیچیدگی با هم متفاوت است؟
توی این ویس، با کمک این تصویر بررسی میکنیم که تفاوت در اندازه و ساختار مغز چه ارتباطی با پیچیدگی رفتار جانوران داره.
🎧 ویس رو گوش بده و تصویر رو همزمان ببین.
اگر این مدل آموزش برات مفیده، برای دوستات هم بفرست. ❤️
👤 مهدی محمدیان | رتبه ۳ ارشد روانشناسی بالینی 🎓
📩 ارتباط در تلگرام و بله
@Mahdimohammadian1382
حالا که یککم بیشتر با من آشنا شدید 🤝
بریم سراغ کاری که میخوایم با هم شروع کنیم 🚀
میخوایم یکییکی نکات منابع فیزیولوژی رو با هم مرور کنیم 📚
اولین منبعی که میخوایم با هم شروعش کنیم «کلبه» 🏠
این کتاب برای هر دو وزارتخونه مهمه، ولی در بهداشت اهمیت بیشتری داره ⚖️
نقطه شروع، قرار نیست نقطه اوجت را تعیین کند 🌱
یکی از چیزهایی که این روزها زیاد میبینم و به نظرم واقعاً میتونه سد راه خیلی از بچهها بشه، موقعیت شروعه. 📍
اینکه هنوز کسی منو نمیشناسه، پس وارد بازار کار نمیشم. 🚫
اینکه من تازهکارم، پس باشگاه رفتن و شروع کردن فایدهای نداره. 🏋️♂️
اینکه من پایه علمی خوبی ندارم، پس اصلاً نمیتونم برای کنکور ارشد آماده بشم. 📚
اینکه لیسانسم روانشناسی نبوده، پس چطور میخوام با بچهه…
اگر تازه به جمعمون اضافه شدی، احتمالاً هنوز خیلی منو نمیشناسی.
برای همین قبل از اینکه پستهای آموزشی و مسیر کنکورمون رو شروع کنیم، دوست داشتم توی این ویس کمی از خودم، نقطه شروع مسیرم و تجربهای که باعث شد امروز اینجا کنار شما باشم براتون بگم.
نه از یک مسیر بدون سختی و بدون اشتباه؛ اتفاقاً از مسیری که توش کلی تردید، آزمونوخطا و بالا و پایین وجود داشت.
🎙️ پس اگر تازه به کانال اضافه شدی، پیشنهاد میکنم این ویس رو گ…
حالا که منبع و روش مطالعه مشخص شده، با هم ببینیم چطور باید این مدل سؤالها رو بزنیم. 🎯📚
یه نکته بهتون میگم که معمولاً اینجوری و راحت گفته نمیشه، اما یکی از راهحلهای اصلی برای زدن سؤالات متن باشه:
❌ کل متن رو حفظ نکن!
حالا یعنی چی؟ 🤔
یعنی برای پاسخ دادن به سؤالات متن، لازم نیست از اول تا آخر متن رو با دقت یکسان بخونید و همهچیز رو حفظ کنید.
🔹 مرحله اول: اول سؤالها رو بخونید
قبل از اینکه برید سراغ متن، سؤا…
📚 امروز میخوام اول همه نکات مطالعه زبان رو بهتون بگم؛ اینکه زبان رو چطور بخونیم؟ 👇
🔹 اول از همه، بسته به سطح زبانتون کتاب رو انتخاب میکنید؛ اینو قبلاً براتون توضیح دادم.
اما یه نکته خیلی مهم 👀
تنها درسی که باید هر روز، بدون استثنا و با استمرار خونده بشه، زبانه.
📖 در شروع کار:
فقط متن بخونید، کلمات مهم رو علامت بزنید و توی یک دفتر جداگانه بنویسید.
بعد از حدود ۲ ماه، در کنار مطالعه متن، زدن تست رو هم شروع میکنیم …
خب حالا ببینیم چند مدل سوال در درک مطلب داریم 👇
🔸 عنوان یا ایده اصلی (Main Idea / Best Title):
هدف این سوالات سنجش موضوع کلی متنه
معمولاً با این جملات شروع میشن:
"...What is the main idea"
"...The passage is mainly about" 🎯
🔸 جزئیات مستقیم (Direct Details / Stated Facts):
پاسخ دقیقاً داخل متنه
نیاز به تحلیل نداره، فقط باید کلمات کلیدی رو اسکن کنید 🔍
🔸 استنباطی و مفهومی (Inference / Implied Meaning):
پاسخ مستقیم نو…
📚 زبان
آیا برای زدن زبان نیاز به سطح زبان خیلی بالا داریم؟
❌ نه، ضروری نیست
آیا نیاز به دانش دستور زبان داریم؟ 🤔
اگر میخواید روی زبانتون کار کنید تصمیم خیلی خوبیه 👍
ولی وقتش توی سال کنکور نیست ❗ چرا؟ به دو دلیل:
🔹 اول:
سوالات از مباحث روانشناسی میان و گاهی کلماتش با زبان عمومی متفاوته 🧠
🔹 دوم:
سوالات زبان از نوع «متن» هستن
پس نیاز به دانش گسترده دستور زبان و جملهسازی ندارند
⏳ حالا که مهلت ثبتنام «طرح جامع مشاوره» ما رو به پایانه…
وقتشه از خدمات دیگهمون براتون بگیم 👇
قراره کنار هم توی این کانال شروع کنیم 📚
و قدمبهقدم ببینیم هر مبحث رو دقیقاً چطور باید بخونیم ✍️
از کجا شروع کنیم و چه مسیری رو جلو بریم 🎯
این تازه شروع کاره… 🚀
🤝 ازتون یه درخواست مهم داریم:
اگه این مسیر براتون مفیده، حتماً کانال رو به دوستاتون معرفی کنید و اضافهشون کنید 🙌
هرچی تعدادمون بیشتر باشه، کیفیت کار بالاتر م…
👍2
Signed مهدی محمدیان
Showing the 12 most recent of 20 posts we hold for @mahdimohammadianofficial. 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
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 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“مهدی محمدیان | کنکور ارشد روانشناسی” (@mahdimohammadianofficial), 188 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mahdimohammadianofficial.
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.