Telegram RegisterThe public register of Telegram

Channel

انجمن علمی مغز و شناخت دانشگاه علامه طباطبایی

@ATUBC

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,149subscribers

+38 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001283087255
TypeChannel
Username@ATUBC
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ATUBC

Growth

2,1112,1492,1306 August 2026 — 2,111 subscribers6 August 2026 — 2,111 subscribers6 August 2026 — 2,112 subscribers9 August 2026 — 2,120 subscribers12 August 2026 — 2,149 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +38. 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 2,105–2,155 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:532,149+29
9 Aug 2026, 21:512,120+8
6 Aug 2026, 12:102,112+1
6 Aug 2026, 06:172,111no change
6 Aug 2026, 05:482,111first reading

Engagement

18 posts held, back to 9 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
52.7%
avg views ÷ 2,149 subscribers
Avg views / post
1,130
11 posts measured
Reaction rate
0.468%
reactions ÷ views · ER floor
Posts in window
11
of 18 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. It is computed over the 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held18 (9 June 20265 August 2026)
Views total12,454
Reactions total55
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:57 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

Video runtime
51s
Average length
26s

Measured directly from 2 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.

Reaction mix

83 reactions across 15 posts, in 11 distinct kinds. The most used accounts for 69.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5869.9%
💯56.02%
🔥56.02%
🕊33.61%
🙏33.61%
🥰33.61%
🤩22.41%
👍11.20%
👎11.20%
👏11.20%
😍11.20%

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 15 of the 18 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 83reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 9 June 2026 to 5 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.

Recent posts

5 Aug 2026, 19:12 UTC210 views3 reactionsread 7 August 2026
Forwarded from @ertebatinouPhoto

🔍👍 معلمی یعنی روبه‌رو شدن با رفتارهایی که همیشه ساده نیستن… کودکی که ناگهان گریه می‌کند، دانش‌آموزی که بی‌دلیل مضطرب است، کسی که وسط فعالیت «خاموش» می‌شود… و تو می‌مانی با یک سؤال بزرگ: واقعاً پشت این رفتار چی می‌گذره؟ 🧠 اگر همیشه برات سؤال بوده که چرا بعضی رفتارهای کودک این‌قدر پیچیده و غیرقابل‌حدس‌اند، 👀 اگر نشانه‌هایی می‌بینی اما نمی‌دونی ریشه‌ش چیه، 👨‍🏫 و اگر می‌خوای به‌جای حدس‌زدن، رفتار کودک رو علمی و دقیق تحل

2👏1

4 Aug 2026, 19:44 UTC328 views3 reactionsread 7 August 2026
Photo

🔸انجمن علمی دانشجویی مردم شناسی باهمکاری انجمن علمی مغز وشناخت و جمعی دیگر از انجمن های علمی دانشگاه علامه طباطبایی برگزار میکند: 📚سلسله برنامه های تجربه نگاری جنگ ❗️جلسه سیزدهم: همبستگی،هویت ومسئولیت؛نقش انجمن های علمی در روز های جنگی دانشگاه باحضور: فاطمه فلاح (دبیر انجمن مدیریت بیمه و دبیر دبیران دانشگاه علامه) 📅 چهارشنبه ۱۴ مرداد ساعت۲۰ 🔗در بستر اسکای روم https://meeting.atu.ac.ir/ch/anjoman-anthropology (و

3

4 Aug 2026, 15:55 UTC349 views3 reactionsread 7 August 2026

⏰ یادآوری رویداد، ساعت ۲۱ منتظر حضور ارزشمند شما در این دورهمی هستیم 🙏

3

3 Aug 2026, 15:17 UTC414 views7 reactionsread 7 August 2026

⏰ یادآوری رویداد، ساعت ۲۰ منتظر حضور ارزشمند شما در این دورهمی هستیم 🙏

4🔥2👍1

2 Aug 2026, 05:15 UTC≈1,620 views7 reactionsread 7 August 2026
Photo

📚 کلاب کتاب‌خوانی | سلسله نشست‌های معرفی کتاب انجمن علمی مغز و شناخت دانشگاه علامه طباطبایی، با همکاری آزمایشگاه علوم شناختی و دانشکده روانشناسی و علوم تربیتی دانشگاه علامه طباطبایی نخستین نشست از سلسله جلسات کلاب کتاب‌خوانی را برگزار می‌کند. در اولین جلسه، کتاب «مردی که زنش را با کلاه اشتباه گرفت» اثر الیور ساکس معرفی و بررسی خواهد شد. این اثر که از برجسته‌ترین کتاب‌های حوزه عصب‌شناسی عمومی به شمار می‌رود، با روایت

💯42🙏1

31 Jul 2026, 18:55 UTC558 views6 reactionsread 7 August 2026
Forwarded from @bashgahmaghzPhoto

🧠آکادمی باشگاه مغز برگزار می‌کند: ⚙دوره تخصصی مهندسی شناختی؛ پژوهشگری و مقاله‌نویسی در علوم شناختی و نوروساینس 💎دستاورد شما از این دوره: •از ایده تا چاپ؛ از پژوهش تا محصول •چگونگی کشف ایده‌ها، نیازها و دغدغه‌ها، بر اساس گرنت‌ها و اولویت‌های پژوهشی بین‌المللی •معرفی وب‌سایت‌ها و منابع کلیدی برای آشنایی با دغدغه‌های پژوهشی در سطح بین‌المللی •آموزش طراحی مطالعه (Study Design)، انتخاب ابزارهای سنجش، و تدوین گام‌به‌گا

4🤩2

30 Jul 2026, 11:37 UTC≈2,580 views8 reactionsread 7 August 2026
Photo

انجمن مغز و شناخت دانشگاه علامه طباطبایی با همکاری آزمایشگاه علوم شناختی دانشگاه علامه برگزار می کند: ☕️ به «هم‌اندیشی دانشجویی»خوش آمدید! درجلسات«گفتگوی آزاد»(Free Discussion) دورهم جمع می‌شویم تا در فضایی صمیمی و بدون ترس ازقضاوت،تجربه‌هاونظراتمان را به اشتراک بگذاریم.اینجاهیچ جوابی کاملا درست یا کاملا غلط نیست. 🔍 موضوع ایستگاه اول: معمای جذابیت درمغز ما،وقتی جذب می‌شویم،فرمان دست«آگاهی» است یا«غریزه»؟آیاواقعا عا

5🔥3

25 Jul 2026, 20:26 UTC≈1,010 views7 reactionsread 7 August 2026
Video

🧠✨ یک گام به سوی شناخت عمیق‌تر مغز، ذهن و رفتار دوره تخصصی «کاربرد علوم اعصاب شناختی در علوم انسانی» با حضور جمعی از استادان و پژوهشگران برجسته به پایان رسید؛ دوره‌ای ۶۰ساعته که فرصتی ارزشمند برای آشنایی با پیوند میان مغز، ذهن، رفتار و علوم انسانی و بررسی روش‌ها و فناوری‌های نوین علوم اعصاب شناختی فراهم کرد. 🔬 این دوره در قالب ۱۶ جلسه تئوری و ۴ جلسه عملی برگزار شد و شرکت‌کنندگان در مسیر این دوره، با مفاهیم، رویکردها

5🙏2

22 Jul 2026, 16:22 UTC822 views3 reactionsread 7 August 2026

یادواری رویداد، شروع جلسه ساعت ۲۰:۰۰

3

20 Jul 2026, 06:19 UTC≈3,860 views8 reactionsread 7 August 2026
Photo

انجمن مغز و شناخت دانشگاه علامه طباطبایی و مرکز مغز و شناخت نورا و دانشکده روانشناسی و علوم تربیتی دانشگاه علامه و آزمایشگاه علوم شناختی دانشگاه علامه طباطبایی برگزار می کند #نشست_رایگان_آنلاین کاگنتیوتاک با موضوع : ✅ نورواستتیک در جهان دیجیتال : چرا مغز برای رنگ ، بود ، تصویری موسیقی بی نیاز از بقا ، پاداش می فرستد ؟ نورواستتیک (Neuroaesthetics) یا زیبایی‌شناسی عصبی شاخه‌ای میان‌رشته‌ای در مرز علوم اعصاب، روان‌شن

8

26 Jun 2026, 21:08 UTC≈4,870 views4 reactionsread 7 August 2026
Photo

انجمن علمی مغز و شناخت دانشگاه علامه طباطبائی با همکاری آزمایشگاه علوم شناختی دانشگاه علامه برگزار می کند ؛ 🔹 ژورنال کلاب این هفته با موضوع : هوش مصنوعی برای اختلال طیف اوتیسم: پیشرفت ها در تشخیص، تحلیل رفتار و پشتیبانی آموزشی 👤 ارائه‌دهنده: خانم خاطره فراهانی دانشجوی ارشد کودکان استثنایی 👨‍🏫 دبیر علمی جلسه : جناب آقای دکتر محمد باقر حسنوند ( هیئت علمی گروه کودکان استثنایی دانشگاه علامه طباطبایی) 📅 زمان برگزاری:

3💯1

Showing the 12 most recent of 18 posts we hold for @ATUBC. 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 — 206,624 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.

Forward network

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 7 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“انجمن علمی مغز و شناخت دانشگاه علامه طباطبایی” (@ATUBC), 2,149 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ATUBC.

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.