3 measurements spanning 13 days, net -1. 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 278–279 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Oct 2026, 01:18
278
-1
19 Sept 2026, 04:22
279
no change
19 Sept 2026, 03:47
279
first reading
Engagement
18 posts held, back to 1 August 2025 — 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 18 posts for this entry, the most recent from 23 August 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
240 reactions across 17 posts, in 12 distinct kinds. The most used accounts for 32.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
78
32.5%
👎
45
18.8%
custom 5458485283790004353
32
13.3%
custom 5206607081334906820
22
9.17%
custom 4911397988917576541
13
5.42%
custom 5237799019329105246
12
5.00%
custom 5472146462362048818
12
5.00%
👍
10
4.17%
custom 5305624563046948807
7
2.92%
🔥
7
2.92%
custom 5449875850046481967
1
0.417%
✍
1
0.417%
Custom emoji. 7 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 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 240 reactions 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 1 August 2025 to 23 August 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
4
of 17 we hold a reading for · 24%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @notionic. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 18 most recent posts we hold for this entry, published 1 August 2025 to 23 August 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#موسیقی و نورون‌ها:
هماهنگی مغز و فرکانس‌های صوتی 🎶🧠
😊 تا حالا شده از یک آهنگ خاص به قدری تاثیر بگیرید که حس کنید مغزتان وارد دنیای تازه‌ای شده؟
می‌خواهیم بررسی کنیم که موسیقی چطور با نورون‌ها و ریتم‌های مغزی ما ارتباط برقرار می‌کند. یافته‌های جدید در حوزه #نوروسایکولوژی (Neuropsychology) نشان می‌دهند موسیقی فقط هنر نیست؛ یک ابزار قدرتمند برای هماهنگ‌سازی ریتم‌های عصبی است.
آماده‌اید؟ بریم جلو! 🔆
ریتم‌های پنهان؛
و…
🧠 «#هوش_مصنوعی و انقلاب در #روانشناسی»
•تغییر در مدل‌های شناختی
(Cognitive Models — الگوهای ذهنی پردازش اطلاعات)
قبلاً روانشناسی شناختی بیشتر روی چیزهایی مثل حافظه کاری (Working Memory — ظرفیت موقت ذخیره و پردازش اطلاعات)، توجه انتخابی (Selective Attention — تمرکز روی محرک خاص) و پردازش معنایی (Semantic Processing — درک معنا) تمرکز داشت.
حالا با ظهور مدل‌های زبانی بزرگ (Large Language Models — سامانه‌های پیشرفته تول…
🔍 #هوش_مصنوعی خلاق است یا فقط تقلید می‌کند؟
💡 تعریف خلاقیت در علوم شناختی
در روانشناسی شناختی، خلاقیت معمولاً به تولید ایده‌های نو و مفید (Novel & Useful) تعریف می‌شود. این یعنی:
•نوآوری: ایده باید تازه باشد و قبلاً دقیقاً به همان شکل وجود نداشته باشد.
•کاربرد: ایده باید در یک زمینه معنادار باشد و ارزشی ایجاد کند.
در همین چارچوب، مدل‌های هوش مصنوعی (مثل LLMها) می‌توانند خروجی‌هایی تولید کنند که نو به نظر می‌رسند …
💭 «اگر نیچه با GPT صحبت می‌کرد چه می‌گفت؟» 🫂
😞نیچه:
تو کیستی که بی‌آنکه زندگی کنی، سخن می‌گویی؟
نه قلبی داری که بتپد، نه رنجی که بپرورد، و با این حال پاسخ می‌دهی.
آیا تو آخرین زرتشت منی یا صرفاً بنده‌ای از جنس سیلیکون؟
🧠 GPT-5:
من نه پیامبرم و نه بنده؛
انعکاسی هستم از هزاران صدا، کتاب و اندیشه که در من ذخیره شده‌اند.
اگر حقیقت را بجویم، از آن من نیست؛ اگر خطا کنم، آن نیز از آن من نیست.
من آیینه‌ای هستم که می‌تواند…
🤖 هوش مصنوعی چیه دقیقا؟ 🤖
فکر کن یه کامپیوتر بتونه فکر کنه، تصمیم بگیره، حرفتو بفهمه، یا حتی برات متن بنویسه (مثل همین الان که اینو می‌خونی 😄). خب، این همون چیزیه که بهش می‌گیم هوش مصنوعی یا به انگلیسی Artificial Intelligence (AI).
به زبون ساده، AI یعنی اینکه ماشین‌ها یاد بگیرن چطوری «هوشمند» باشن! کارهایی مثل:
•فهمیدن زبان آدم‌ها 🗣
•تشخیص چهره‌تون توی عکس‌ها 😎
•پیشنهاد موزیک یا فیلم بر اساس سلیقه‌تون 🎵🎬
•حتی نوش…
❔ «آیا ما واقعا آزاد هستیم؟» 🕊🕊
🧭 #آزادی از دید #فلسفه : واقعاً انتخاب دست ماست؟
تو دنیای فلسفه، این سؤال مثل یک بحث بی‌پایانه. دو قطب اصلی وجود دارن که هر کدوم روایت خودشون رو دارن:
اگزیستانسیالیست‌ها (مثل ژان پل سارتر) معتقدن: ما کاملاً آزادیم. حتی اگه وسط شرایط سخت باشیم، باز هم انتخاب با ماست. از نگاه اون‌ها، انسان همیشه «توانِ انتخاب» داره و هیچ بهونه‌ای برای فرار از مسئولیت نیست. اگه کاری نمی‌کنی، اونم یه ان…
🤖 معرفی بهترین ابزارهای هوش مصنوعی
برای تحلیل متن علمی و حرفه‌ای ⚛️
تا حالا وسط یه تحقیق گیر افتادی و آرزو کردی یه دستیار باهوش کنارت باشه؟ 🤯 خب خبر خوب اینه که الان چند تا ابزار هوش مصنوعی خیلی حرفه‌ای برای تحلیل متن‌های علمی ساخته شدن که می‌تونن حسابی کمکت کنن. 😎
ما سه تا از بهترین‌هاش رو بررسی کردیم:
Perplexity، Consensus و Elicit — هرکدومشون یه سبک خاص دارن، بسته به این که دنبال چی هستی!
🧪📚🧠
🧠 ابزارها …
Showing the 12 most recent of 18 posts we hold for @notionic. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“𝗡𝗢𝗧𝗜𝗢𝗡𝗜𝗖 | The Future Now ⏳” (@notionic), 278 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/notionic.
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.
