Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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.
Growth
6 measurements spanning 39 days, net -6. 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 544–555 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Oct 2026, 21:21
547
+2
26 Sept 2026, 07:19
545
-4
14 Sept 2026, 08:01
549
-4
5 Sept 2026, 23:00
553
-1
29 Aug 2026, 06:35
554
+1
28 Aug 2026, 11:00
553
first reading
Engagement
20 posts held, back to 11 October 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 15 May 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
317 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 37.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
120
37.9%
👍
59
18.6%
💔
39
12.3%
😁
36
11.4%
🔥
26
8.20%
👎
10
3.15%
🤷♂
7
2.21%
🤷
5
1.58%
🤯
4
1.26%
👌
3
0.946%
💯
3
0.946%
🕊
3
0.946%
👏
1
0.315%
😢
1
0.315%
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 19 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 317 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 11 October 2024 to 15 May 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
- مقاله‌ای که قولش رو بهتون داده بودم، به نام "زیستن بر مبنای حقیقت"
این مقاله به دردتون میخوره اگه این سوالات روی ویژگی‌های شما دست گذاشتن:
۱. صدای درونی
۲. اهمال‌کاری
۳. اضطراب
مجموعا خواندن مقاله کمتر از یک ساعت طول میکشه و سایز فونت طوریه که میشه توی گوشی هم خوندش. سعی کردم براتون راحتش کنم🤷♂
ممنون میشم با ری‌اکت دادن بهم بگین که این مقاله رو چیکار میکنید:
بازش کردم ولی مسئله‌ی مقاله (پروبلماتیک) برای من مسئ…
یه جوری نوشتن تیم پادکست انگار کیه و چیه😂
والا تیم پادکست منم و میکروفونم. تازه هنوز حقومم بهم ندادن😂😂😂
ولی جدا از شوخی، این اپیزود آخر قشنگ شده. میتونید از کست‌باکس گوش بدید.
انقد همه ADHD کردن که اپیزود سوم پادکست مدیکال رو کامل راجع به همین اختلال تمرکز صحبت کردم.
پ.ن:
راجع به کرایتریای اختلال تمرکز هم صحبت کردم، و خبر مهم:
شما احتمالا ADHD ندارید ولی مشکل بزرگتری در اعماقتون وجود داره.
🔻 قسمت اول پادکست مدیکال منتشر شد!
پادکستی که من درست میکنم از لحاظ موضوعی و مفهومی با پادکست‌های کنکوری دیگه متفاوته.
قرار نیست راجع به فلان روش تست زنی و بهمان روش زیست خوندن پیش بریم، بلکه قراره راجع به مسائل مهم‌تر مثل نوروساینس، فلسفه، نگرش و زندگی صحبت کنیم.
این پادکست قراره برای شما طراحی بشه، پس نظراتتون برام مهمه.
لطفا هر ایده‌ای، نظری، پیشنهادی، چیزی دارین همینجا یا توی کامنت‌های کست‌باکس بهم بگین تا ب…
اپیزود اول پادکست مدیکال
چطور هر چیزی رو حفظ کنیم؟
توی پادکست اول از سری پادکست‌های مدیکال استودنتس، من (پارسا بهراد) راجع به نحوه‌ی یادگیری اصولی و حفظ کردن مطالب سخت توضیح میدم.
اول یه باور جدید به شما معرفی میکنم،
بعد یه مقداری راجع به نوروساینس و نحوه‌ی عملکرد مغز توضیح میدم،
و بعد حدود 16 تا راهکار و تکنیک خفن برای یاد گرفتن و حفظ کردن درس‌ها رو بهتون یاد میدم.
توی دبیرستان و دانشگاه حفظ کردن هم به اندازه‌ی …
❤7👍3💯1🕊1
Signed ParSa BeHraD
Showing the 12 most recent of 20 posts we hold for @Behrad_Mentoring. 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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Dr Behzad Chavooshi @drbehzadchavooshi · 53,959 Telegram ranks this channel #9 of 78 here — alongside 77 others — read 15 September 2026
کتابخانه فراسوی دانش @Farasoyedaneshlib · 19,516 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 3 October 2026
KIA | آکادمی دکتر سادات رفیعی @zist_kia · 735 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 28 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“پارسا بهراد | منتورینگ بهراد” (@Behrad_Mentoring), 547 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/Behrad_Mentoring.
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.
