3 measurements spanning 7 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 444–452 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 15:36
445
-6
6 Aug 2026, 19:16
451
no change
6 Aug 2026, 18:54
451
first reading
Engagement
15 posts held, back to 30 May 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
11.3%
avg views ÷ 445 subscribers
Avg views / post
50.1
8 posts measured
Reaction rate
4.24%
reactions ÷ views · ER floor
Posts in window
8
of 15 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
15 (30 May 2026 – 6 August 2026)
Views total
401
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 19:16 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
23 reactions across 10 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
23
100.0%
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 15 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 30 May 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.
فرصت hashtagهمکاری_پژوهشی در حوزه hashtagواقعیت_مجازی (VR)
اگر در زمینه طراحی محیطهای واقعیت مجازی (Virtual Reality) فعالیت میکنید و به همکاری در یک پروژه پژوهشی علاقهمند هستید، خوشحال میشیم با شما همکاری کنیم.
موضوع پروژه:
طراحی و پیادهسازی یک محیط واقعیت مجازی برای یک پژوهش در حوزه علوم شناختی و تعامل انسان و فناوری.
مهارتهای موردنیاز (ترجیحاً):
تجربه کار با Unity یا Unreal Engine
آشنایی با طراحی محیطهای…
🔥 نورومارکتینگ در عمل
ابزارهایی مثل Kexxu کمک میکنند بفهمیم مخاطب دقیقاً به چه چیزی نگاه میکند، روی کجا مکث میکند و چه چیزهایی کاملاً نادیده گرفته میشوند — دادههایی که هیچ پرسشنامه یا مصاحبهای قادر به ارائه آن نیست.
🎯 چند مثال واقعی در عمل
🔸 1) انتخاب محصول روی قفسه
دادههای ردیابی چشم نشان میدهد نگاه مشتری روی رنگِ رقبا ثابت مانده و پیام اصلی برند دیده نشده.
🔸 2) تحلیل تبلیغات
Heatmap مشخص میکند نگاه م…
🧠 دانشبنیان شدن نوروچلنج؛ این اتفاق چه مزیتی برای شما دارد؟
چندی پیش خبر دریافت تأییدیه دانشبنیان نوروچلنج را منتشر کردیم. اما این اتفاق چه مزایایی برای مشتریان و همکاران ما ایجاد میکند؟
مهمترین مزایا عبارتاند از:
✅ خرید تجهیزات نوروچلنج با تسهیلات لیزینگ صندوق نوآوری و شکوفایی با نرخ سود ۹٪
✅ امکان خرید اقساطی (مطابق ضوابط صندوق)
✅ استفاده از حمایت استصناع برای سفارش و توسعه محصولات اختصاصی
✅ بهرهمندی از اع…
💡 تمرین و تقویت عضلات با یک لباس
تصور کنید لباسی بپوشید که بتواند عضلات شما را نیز بهصورت الکتریکی تقویت و توانمندتر کند. این همان کاری است که Antelope Evolution EMS Suit انجام میدهد.
این لباس هوشمند با استفاده از فناوری EMS، عضلات را از طریق پالسهای الکتریکی کنترلشده تحریک میکند و میتواند در کنار تمرینات ورزشی به افزایش فعالیت عضلات و بهبود ریکاوری کمک کند.
⚡️ ویژگیهای کلیدی:
• تحریک همزمان عضلات مختلف بدن
•…
طبیعت درمانی به روش مجازی! برای آرام سازی و مدیریت استرس
محصول Relax VR یک سیستم تخصصی واقعیت مجازی برای آرامسازی و مدیریت استرس است که با ترکیب واقعیت مجازی، مدیتیشن هدایتشده، موسیقی آرامشبخش و رایحهدرمانی، تجربهای چندحسی و غوطهورکننده ایجاد میکند.
این محصول برای استفاده در:
🔸 کلینیکهای روانشناسی
🔸 مراکز مدیتیشن و یوگا
🔸 اسپا و مراکز ماساژ
🔸 دندانپزشکیها
🔸 هتلها و مراکز سلامت
🔸 برنامههای سلامت سازمانی
…
در حال جمع آوری داده برای پژوهش رسالهی دکترا در زمینهی بررسی پردازشهای هیجانی هستیم.
روند: پس از حضور در محل آزمایش، تعدادی تصویر خوشایند و ناخوشایند به افراد نمایش داده میشود و فعالیت مغزی توسط EEG و fMRI ثبت میشود.
🕣 مدت زمان حضور در آزمایشگاه:
حدود ۳ ساعت
🔻شرایط شرکت در آزمایش:
■ بازهی سنی ۱۸ تا ۳۵
■راست دست بودن
■ عدم ابتلا به اختلالات روانپزشکی
■ نمرات حاصل از تکمیل دو پرسشنامهی کوتاه (DASS-21، GHQ…
🧠 مغز تفاوت زیادی بین دنیای واقعی و دنیای مجازی قائل نیست!
وقتی یک محیط واقعیت مجازی (VR) بهخوبی طراحی شده باشد، مغز بسیاری از واکنشهای خود را درست مانند دنیای واقعی نشان میدهد.
به همین دلیل، VR فقط یک فناوری سرگرمی نیست؛ بلکه به یکی از ابزارهای نوین درمان در روانشناسی و علوم شناختی تبدیل شده است.
در VR Therapy، فرد در محیطی امن و کنترلشده با موقعیتهایی روبهرو میشود که برایش اضطراب یا ترس ایجاد میکنند و د…
📢 دعوت به همکاری برای جذب گرنتهای بینالمللی
در حال تشکیل یک تیم بینرشتهای متشکل از اساتید و پژوهشگران دانشگاههای امیرکبیر، تربیت مدرس، شاهد و سازمان پژوهشهای علمی و صنعتی ایران برای اجرای یک پروژه بینالمللی در حوزه علوم شناختی، هوش مصنوعی و فناوریهای پزشکی هستیم.
موضوع پروژه، توسعه روشهای مبتنی بر هوش مصنوعی و تحلیل سیگنالهای EEG برای استخراج نشانگرهای دیجیتال (Digital Biomarkers) در حوزه سلامت شناختی و س…
🎉 خبر خوب برای پژوهشگران، دانشجویان و فعالان حوزه علوم شناختی و سلامت
بالاخره امکان اجاره ساعتی و روزانه تجهیزات نوروچلنج فراهم شد.
✅ اگر برای پایاننامه، پروژه تحقیقاتی، اجرای یک کارگاه، نمونهسازی، تست محصول یا حتی یادگیری و تجربه کار با تجهیزات علوم شناختی به ابزارهای تخصصی نیاز دارید، حالا میتوانید بدون خرید دستگاه، از آنها استفاده کنید.
تجهیزات قابل اجاره شامل:
🧠 گجتهای پوشیدنی EEG
👁 ردیاب چشم (Eye Tracker…
Showing the 12 most recent of 15 posts we hold for @uxneurochallenge. 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 — 331,400 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.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@uxneurochallenge named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@neurochallenge named in 1 post, 8 August 2026 – 8 August 2026
@uxneurochallegne named in 1 post, 8 August 2026 – 8 August 2026
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.
“Neurochallenge” (@uxneurochallenge), 445 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/uxneurochallenge.
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.