Channel
@neuro_gathering
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
916subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002113841036 |
|---|---|
| Type | Channel |
| Username | @neuro_gathering |
| Description | صحبت در مورد مبانی مغزی هر رویداد و احوالی در زندگی شخصی و اجتماعی بر مبنای علوم اعصاب (نوروساینس) و در مورد کتاب #مغزخنیاگر دکتر مهدی خواجوی |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/neuro_gathering |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @neuro_gathering/83 · this entry12 Mar 2025, 16:41 UTC | @drmehdikhajavi/79414 Mar 2025, 19:25 UTC | 1.00 | 2 days |
| @drmehdikhajavi/79515 Mar 2025, 09:41 UTC | @neuro_gathering/88 · this entry15 Mar 2025, 09:41 UTC | 1.00 | under a minute |
| @drmehdikhajavi/79615 Mar 2025, 18:02 UTC | @neuro_gathering/89 · this entry15 Mar 2025, 18:02 UTC | 1.00 | under a minute |
| @neuro_gathering/96 · this entry26 Sept 2025, 15:25 UTC | @drmehdikhajavi/80326 Sept 2025, 15:25 UTC | 1.00 | under a minute |
| @neuro_gathering/97 · this entry26 Sept 2025, 15:46 UTC | @drmehdikhajavi/80426 Sept 2025, 15:47 UTC | 1.00 | 2 minutes |
| @drmehdikhajavi/80526 Sept 2025, 15:57 UTC | @neuro_gathering/98 · this entry26 Sept 2025, 15:57 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @drmehdikhajavi | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | @drmehdikhajavi (4–3) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 4 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 12 March 2025 to 3 February 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @neuro_gathering — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 01:01 | 916 | no change |
| 7 Aug 2026, 15:58 | 916 | first reading |
20 posts held, back to 27 February 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 pageof 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 3 February 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
379 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 57.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 218 | 57.5% | |
| 👌 | 72 | 19.0% | |
| 👍 | 46 | 12.1% | |
| 👏 | 23 | 6.07% | |
| 😁 | 9 | 2.37% | |
| 🔥 | 8 | 2.11% | |
| 💯 | 2 | 0.528% | |
| 🥰 | 1 | 0.264% |
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 18 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 379reactions 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 27 February 2025 to 3 February 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.
در پزشکی به علایمی که بیمار از خودش میگه میگن symptom (سیمپتوم) که ترجمه ش میشه علایم ، که مهمه ولی قابل اعتماد هم نیست ممکنه بیمار علایم کم اهمیتش رو بزرگنمایی کرده باشه و مهم ها رو اصلا فکر نکنه مهم هستند که بخواد بگه ، مثلا درد که کم اهمیت ترین علامت هست همیشه بزرگنمایی میشه درحالیکه توده های سرطانی اغلب بدون دردن! از طرف دیگه به علایمی که پزشک با معاینه و سوالات و تجربه ش پیدا میکنه تو مریض میگن sign ، که اینم تر…
❤31👏21👍13👌5
این گفتگو با یک کانال تریدینگ هست ولی خیلی زود وارد مباحث جذابی در مورد زندگی و مغز میشه
❤8👌4👏1
این گفتگو رو در یوتیوب از دست ندین حتما قبلش سابسکرایب کنید کانالم رو مطالب و لایو های قشنگی در راهه…
🔥8👌5👍1🥰1
http://youtube.com/post/UgkxnQnOINWpGh6yLCCtwu6MQlqD2nUHdGK3?si=NLYJOe2yADWQNOeD
❤3
چگونه کمتر «گول بخوریم» — چند راهکار عملی 1. از خودت ۳ سوال بپرس: «منبع؟ شواهد؟ آیا این قابل تکرار است؟» 2. وقتی احساس قویای داری، ۱۰–۱۵ دقیقه وقفه بگذار و دوباره منطقی بررسی کن. 3. دنبالکردن منابع مستقل و متضاد را عادت کن. 4. به اعداد و آمار توجه کن؛ آنها را به نسبتهای ساده و دوطرفه تبدیل کن. 5. اگر تصمیم مهم است، نظر یک نفر بیطرف و علمی را بپرس
❤34👍8👌7💯1
۱-اثر قاببندی (Framing effect) مثال: گفتن «نجات ۹۰ از ۱۰۰ نفر» باعث میشود مردم مثبت رأی بدهند، اما اگر بگویی «مرگ ۱۰ از ۱۰۰ نفر» همین اقدام کمتر پذیرفته میشود — محتوای منطقی یکی است اما احساس متفاوت است. ۲-اثر آزمون و خطایی (Affect heuristic) مثال: اگر تصویری خوشایند و موسیقی مثبت کنار یک تبلیغ سیاسی یا محصول باشد، مردم راحتتر «درست» بودن پیام را حس میکنند و کمتر به شواهد نگاه میکنند. ۳-تأییدخواهی/سوگیری تأی…
❤20👌4👍3💯1
مطالعات نوروساینس نشان داده است که انسان معمولا از منطق خود برای تصمیم گیری استفاده نمیکند مغز انسان وقتی با دادههای منطقی مواجه میشود، لزوماً بیطرف قضاوت نمیکند؛ بلکه به دنبال احساسی از درستی میگردد. اگر چیزی از نظر هیجانی “درست حس شود”، بیشتر پذیرفته میشود انسان ها را از همین طریق میتوان گول زد😁
❤15😁9👌5👏1
مغز انسان طوری طراحی شده که تصمیمات سریع و هیجانی بگیرد و بعد با منطق آن را توجیه کند
❤17👍10👌3
https://www.iranketab.ir/book/120037-maghz-e-khoniagar
❤17👌5
امکان share لینک و محتوا و سیو کردن آن برای افرادیکه ثبت نام نکرده اند وجود ندارد
👌9👍4
❌آخرین دوره آکادمی نوروساینس در سال ۱۴۰۳ امشب ساعت ۲۰ 👇 https://t.me/Drmehdikhajavi/794
❤9👌3
همه ما اعتقاد داریم گذشته حتما اتفاق افتاده اما اگر آینده هم قبلا اتفاق افتاده و ما خبر نداریم چی؟!🤔 نکنه پیشگو ها راست میگن؟🫣 در موردش فردا شب صحبت میکنیم در دوره درک زمان از دید نوروساینس برای ثبت نام لحظه آخری پست های بالا رو ببینید😇
👌6
Showing the 12 most recent of 20 posts we hold for @neuro_gathering. 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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“مغز خنیاگر” (@neuro_gathering), 916 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/neuro_gathering.
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.