Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 the other topics.
Previous handles
@neuro_VN was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@scienti_f held 7 August 2026 – 7 August 2026
Growth
24 measurements spanning 91 days, net +182. 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 7,018–7,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
6 Nov 2026, 05:50
7,227
+1
3 Nov 2026, 07:09
7,226
+4
31 Oct 2026, 17:26
7,222
+3
25 Oct 2026, 13:29
7,219
+11
22 Oct 2026, 06:05
7,208
+7
18 Oct 2026, 20:49
7,201
+5
16 Oct 2026, 02:18
7,196
+4
12 Oct 2026, 23:16
7,192
+25
6 Oct 2026, 11:37
7,167
+15
29 Sept 2026, 05:56
7,152
+28
18 Sept 2026, 23:59
7,124
-1
14 Sept 2026, 11:57
7,125
+5
11 Sept 2026, 04:57
7,120
+12
5 Sept 2026, 22:38
7,108
+4
1 Sept 2026, 02:45
7,104
no change
1 Sept 2026, 02:30
7,104
+17
26 Aug 2026, 16:46
7,087
-2
24 Aug 2026, 01:56
7,089
+7
20 Aug 2026, 07:16
7,082
+10
17 Aug 2026, 12:53
7,072
first reading
Engagement
42 posts held, back to 9 June 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.3%
avg views ÷ 7,227 subscribers
Avg views / post
1,040
7 posts measured
Reaction rate
1.78%
reactions ÷ views · ER floor
Posts in window
7
of 42 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 November 2026
Posts held
42 (9 June 2026 – 6 November 2026)
Views total
7,255
Reactions total
129
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:00 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
Photos
569
Videos
124
Links
625
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Video runtime
1h 08m
Average length
7m 36s
Measured directly from 9 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
600 reactions across 40 posts, in 15 distinct kinds. The most used accounts for 39.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
239
39.8%
❤🔥
98
16.3%
😁
55
9.17%
🏆
52
8.67%
💯
42
7.00%
👌
40
6.67%
🔥
38
6.33%
😍
10
1.67%
💊
7
1.17%
⚡
6
1.00%
👏
6
1.00%
🙏
3
0.5%
🤔
2
0.333%
🍾
1
0.167%
👎
1
0.167%
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 40 of the 42 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 600 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 9 June 2026 to 6 November 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 40 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neuro_VN. 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 42 most recent posts we hold for this entry, published 9 June 2026 to 6 November 2026. 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔳 چه کسی گفته بود آسان است؟
امروز در آزمون صلاحیت حرفهای روانشناسان شرکت کردم. نزدیک به سه ساعت در مسیر بودم. خستگی راه، شرایط نامناسب حوزه امتحانی و نبود همکاری کافی یک طرف، خود آزمون هم واقعا دشوار بود. سوالات نسبت به دورههای قبل پیچیدهتر شده بودند و بخش زیادی از آنها به نظریهها و جزئیات مفاهیم روانشناسی میپرداختند.
اعتراض داوطلبان به شرایط برگزاری و سطح سوالات قابل فهم است. بهخصوص وقتی اطلاعرسانیهای نا…
یه نفر رفته ریش و پشمشو زده، بعد دوربین گرفته دستش که واکنش بقیه رو ببینه.
خب داداش، مبارکت باشه. به شادی استفاده کنی 😂
ولی چیزی که منو به فکر فرو برد، خود ریش زدن طرف نبود.
این بود که ویدئوش نزدیک دو میلیون بازدید خورده
دو میلیون نفر نشستن واکنش آدما رو به اصلاح صورت یه نفر تماشا کردن.
آخه به کتف چپ من که ریشتو زدی 😂
اصلا چرا باید برام مهم باشه که خالهات، رفیقت یا همسایه طبقه سوم وقتی تو رو بدون ریش میبینن چه قیاف…
نمیدونم این متنی که نوشتم چقدر به ویدیوی دکتر سلطانی ربط داره البته اگه فقط شباهتهاش رو ببینم، احتمالا زود قانع میشم که مرتبطه🤣 قضاوتش با شما.
🤫 از آدمهایی که نسخهشون جواب نداده، چه خبر؟
فرض کنید یک کلینیک، روایت چند مراجع رو منتشر میکنه که بعد از جلسات درمان، حالشون بهتر شده. روایتها واقعی هستن، رضایت مراجعها هم واقعی هست اما آیا همین برای اثبات اثربخشی درمان کافیه؟
هنوز نمیدونیم این چند نفر از بین چند مرا…
چرا وقتی کسی میگه «۸۷/۵۶ درصد» بیشتر بهش اعتماد میکنیم تا وقتی میگه «حدود ۸۸ درصد»؟ 🤔
جالبه که گاهی دقت ظاهری یک عدد رو با اعتبار علمی اون اشتباه میگیریم؛ در حالی که تعداد ارقام اعشار، بهتنهایی هیچ چیزی درباره صحت دادهها یا اعتبار روش اندازهگیری به ما نمیگه 👤
⭐️انگیزه واقعا چیست؟
انگیزه --> اقدام --> نتیجه (؟)
یا
اقدام کوچک --> بازخورد/پیشرفت --> انتظار پاداش و حس توانمندی --> انگیزه بیشتر --> اقدام بعدی
⭐️حرکت انگیزه ایجاد میکند؟
⭐️ چرا ما احساس میکنیم "انگیزه نداریم"؟
👈کمبود انگیزه ؟ یا یک چرخهی اجتناب تقویتشده برای کاهش اضطراب
⭐️مدل ساده 'موتور انگیزه'
ارزش + امکانپذیری + وضوح + پیشرفت + پاداش
اگر هرکدوم از اینها شدیدا پایین بیاد، موتور شروع به خاموششد…
⚙️ توی نگاه سیستمی، معمولا میگن که با دیدن یک مسئله سریع نگیم مشکل از همینجاست و مستقیم سراغ راهحل برویم.
معمولا ماجرا چندلایهتر از چیزی هست که در نگاه اول دیده میشه؛ تجربههای قبلی، رابطهها، شرایط فعلی، محیط و عوامل مختلف می تونن همزمان روی شکلگیری یه مسئله اثر بگذارن
برای همین بهتره به اولین تحلیلمون اکتفا نکنیم. چند فرضیه داشته باشیم، اطلاعات و شواهد بیشتری جمع کنیم و ببینیم کدوم توضیح بیشتر با واقعیتی که م…
⭐️✨شروع شد ✨✨
👨🏻🏫 بزرگترین مدرسه هوش مصنوعی کشور از امروز شروع شد
1️⃣قدم اول ورود و Training در AI
🏫🎓 در همکاری دانشگاه علوم پزشکی ایران با استارتاپ دکترمجوکیشن
👨💻 جلسات آنلاین همراه با ارائه ریکورد مدرسه
🥇 با تدریس نخبگان AI
📜صدور سرتیفیکت انگلیسی
مهارتمحور و تجربهمحور
بدون نیاز به پیشنیاز
🗓️مهرماه و آبانماه ۱۴۰۵
🔗 Registration:
🔗 https://m0h.ir/eg071z
📱 @AI_departmentt
📱 @AIM_Association
📱 @Dr_Meduca
⚙️ گاهی خود جواب تبدیل میشه به بخشی از مسئله مخصوصا جوابی که قبلاً چند بار درست از آب درآمده. ذهن هم معمولا میره روی همان حالت دیفالت «چونکه این رو میشناسم، قبلا هم جواب داده، پس دوباره همینه.» و خب، بیشتر وقتها هم این میانبُر بدی نیست. مسئله از جایی شروع میشه که شرایط عوض شده، اما ذهن هنوز داره با نسخهی قبلی کار میکنه.
🫥 شاید تفکر خلاق و نقاد دقیقا همینجا وارد بازی میشن؛ جایی که بتونیم برای چند لحظه از جواب …
یکی از همسایههامون یه خانواده سهنفرهن که پدر/شوهر خیلی وقتها نیست و غایبه. مادر و پسر نوجوان هم زمان زیادی رو با هم میگذرونن. بحث و دعوا هم زیاد دارن. گاهی که صدای دعواشون میاد، حرفهاشون جوریه که انگار یه زن و شوهر دارن با هم دعوا میکنن.
از بیرون نمیشه دربارهی روابط واقعی این خانواده تحلیل و نتیجهگیری دقیقی کرد، ولی همین موقعیت بهونهی خوبیه برای یه گریز کوتاه به خانوادهدرمانی با رویکرد سیستمی، مخصوصاً St…
ذهن، فراوانی آنچه به یاد میآورد را با فراوانی آنچه واقعاً رخ میدهد را اشتباه میگیرد.
پ.ن: جملهبندی از خودم؛ ایده از دکتر سلطانی، خطا از مغزمون 🪨
👍5❤🔥4😁3💯1🔥1
Showing the 12 most recent of 42 posts we hold for @neuro_VN. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@neuro_VN named 1 handle 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@thinkpluswithus named in 6 posts, 8 August 2026 – 11 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
فیلم کوتاه روانشناسی @psychology_movie1 · 21,132 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 27 September 2026
دکتر آذرخش مکری | آرشیو @Dr_Azarakhsh_Mokri_Public_Files · 22,930 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 21 September 2026
کتابخانه روانشناسی و روانپزشکی @ravanketabb · 24,262 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 19 September 2026
کاپلانخوانی @kaplansadockk · 37,481 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 1 September 2026
دیالکتیک علمی @ScientificDialectics · 23,682 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 16 September 2026
دکتر آذرخش مُکری @drazarakhsh_makri · 33,409 Telegram ranks this channel #34 of 86 here — alongside 85 others — read 6 September 2026
آکادمی زبان روانشناسی @PsyEngAcademy · 23,983 Telegram ranks this channel #42 of 95 here — alongside 94 others — read 24 September 2026
کتابهای روانشناسی و روانپزشکی @psyologistravanbook · 23,207 Telegram ranks this channel #48 of 94 here — alongside 93 others — read 21 September 2026
ADHD FARSI | روانشناسی @adhdbefarsi · 22,149 Telegram ranks this channel #51 of 82 here — alongside 81 others — read 19 September 2026
UPS Education (Psychology Entrance Coaching) @upseducation · 23,903 Telegram ranks this channel #53 of 68 here — alongside 67 others — read 17 September 2026
🌿Green book🌿 @greenbook_channel · 53,439 Telegram ranks this channel #53 of 64 here — alongside 63 others — read 23 August 2026
جزوات کنکوری روانشناسی @jozveravan1 · 23,620 Telegram ranks this channel #60 of 87 here — alongside 86 others — read 20 September 2026
نشر روان آموز | مرجع تخصصی کنکور ارشد و دکتری روانشناسی @ravanamooz · 23,399 Telegram ranks this channel #67 of 95 here — alongside 94 others — read 19 September 2026
پادکست روانشناسی سايكوپاد @psychopod · 23,348 Telegram ranks this channel #68 of 92 here — alongside 91 others — read 19 September 2026
بنیاد مرهم 🫀 Marham Foundation @Marham_Foundation · 18,426 Telegram ranks this channel #69 of 90 here — alongside 89 others — read 4 October 2026
کنکور ارشد روانشناسی و مشاوره @teacher_department · 20,892 Telegram ranks this channel #81 of 95 here — alongside 94 others — read 25 September 2026
کنکور ارشد و دکتری روانشناسی (آکادمی روانتاج 👑) @RavanTajj · 22,377 Telegram ranks this channel #85 of 95 here — alongside 94 others — read 22 September 2026
🕊 فرازتد⚡️(روشنگری) @FarazTed · 21,095 Telegram ranks this channel #91 of 92 here — alongside 91 others — read 26 September 2026
This channel appears in 18 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“علوم اعصاب و روانشناسی | NeuroVerse” (@neuro_VN), 7,227 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/neuro_VN.
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.