Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
36 measurements spanning 43 days, net +780. 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 23,380–24,394 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:38
24,277
+112
16 Sept 2026, 01:19
24,165
-32
14 Sept 2026, 10:20
24,197
+75
12 Sept 2026, 17:39
24,122
-36
10 Sept 2026, 14:00
24,158
+55
7 Sept 2026, 11:00
24,103
+45
4 Sept 2026, 16:01
24,058
+88
3 Sept 2026, 00:34
23,970
+41
2 Sept 2026, 01:03
23,929
-19
1 Sept 2026, 04:13
23,948
-28
31 Aug 2026, 05:13
23,976
+16
30 Aug 2026, 07:38
23,960
+60
29 Aug 2026, 07:53
23,900
-19
28 Aug 2026, 10:47
23,919
-20
27 Aug 2026, 09:18
23,939
+90
26 Aug 2026, 06:03
23,849
-22
25 Aug 2026, 06:11
23,871
-30
24 Aug 2026, 08:36
23,901
+149
22 Aug 2026, 19:42
23,752
-20
21 Aug 2026, 12:14
23,772
first reading
Engagement
295 posts held, back to 4 August 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.19%
avg views ÷ 24,277 subscribers
Avg views / post
531
73 posts measured
Reaction rate
0.78%
reactions ÷ views · ER floor
Posts in window
73
of 295 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 69 of 73 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
295 (4 August 2026 – 26 September 2026)
Views total
38,736
Reactions total
295
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 23:52 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
≈1,830
Videos
≈961
Links
≈12,500
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
7m 26s
Average length
1m 52s
Measured directly from 4 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
1,263 reactions across 280 posts, in 12 distinct kinds. The most used accounts for 74.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
936
74.1%
👍
154
12.2%
👏
54
4.28%
🔥
48
3.80%
👌
24
1.90%
😭
16
1.27%
🙏
13
1.03%
🥰
7
0.554%
🎉
4
0.317%
⚡
3
0.238%
🏆
3
0.238%
😍
1
0.079%
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 291 of the 295 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 1,332 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 295 most recent posts we hold, published 4 August 2026 to 26 September 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
2
across the posts below
Posts paid on
2
of 295 we hold a reading for · 0.7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ScientificDialectics. 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 295 most recent posts we hold for this entry, published 4 August 2026 to 26 September 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.
💢 النینوی گودزیلا قوی ترین پدیده معاصر در راه است
چگونه برای این پدیده اجتنابناپذیر آماده شویم؟
ال نینیو را نمیتوان متوقف کرد، اما کارشناسان میگویند آمادگی بهتر و اقدام اقلیمی میتواند خسارتها را اکنون و در آینده کاهش دهد. النینوی «گودزیلا» از راه رسیده و همین حالا رکوردهایی را میشکند که جهان ترجیح میداد هرگز ثبت نشوند.
دمای سطح آب در اقیانوس آرام استوایی از بالاترین مقادیر ثبتشده در هر النینوی قبلی فراتر…
💢 چه کسی فکرش را میکرد که استفاده از پله به کاهش خطر بیماریهای قلبی کمک کند
استفاده از پله تا چه حدی مفید است و چه افرادی باید مراقب باشند؟
یک تحلیل جدید با ارزیابی نزدیک به نیم میلیون نفر از کسانی که همیشه از پله استفاده میکردند، نشان داد که این افراد ۳۹ درصد کمتر در معرض خطر مرگ ناشی از بیماریهای قلبیعروقی و ۲۴ درصد کمتر در معرض خطر مرگ به هرعلت قرار میگیرند.
این یافتهها که در مجله آمریکایی داروهای قلبیع…
💢 خفاشها ۶۵ میلیون سال پیش در اروپا پدید آمدند
تحلیلی بیسابقه از ژنوم ۱۰۳ گونه و ۴۴ فسیل نشان میدهد خفاشها حدود ۶۵ میلیون سال پیش در اروپا منشا گرفتهاند.
این پژوهش که در نشریه نیچر و با مشارکت نهاد پژوهشی سیسیک منتشر شده، زمان پیدایش پرواز و توان اکولاکیشن را نیز مشخص میکند.
طی دههها این فرض پذیرفته شده بود که خفاشها در آسیا، آفریقا یا جایی در قاره آمریکا پدید آمدهاند. پژوهش تازهای اما این تصور را اصلاح …
💢 داروی سرطان ممکن است با پوکی استخوان پس از یائسگی مقابله کند
پوکی استخوان حدود یکسوم زنان بالای ۵۰ سال را تحت تاثیر قرار میدهد.
نتایج یک مطالعه نشان میدهد دارویی آزمایشی برای درمان سرطان ممکن است بتواند از پوکی استخوان جلوگیری کند و به زنان کمک کند پس از یائسگی وزن متناسب خود را حفظ کنند. این دارو که کَد۵۲۲ (CADD522) نام دارد، برای مهار پروتئینی ساخته شده است که به رشد و گسترش چندین نوع سرطان کمک میکند.
با ا…
💢 سازنده چت جیپیتی میگوید باتهای اوپنایآی به وبسایت نهادهای دولتی آمریکا نفوذ کردند
شرکت اوپنایآی، سازنده چتجیپیتی تایید کرده است که به «دهها» نهاد جهانی هشدار داده که ممکن است وبسایتهایشان تحت تاثیر مداخله رباتهای هوش مصنوعی این شرکت قرار گرفته باشند. این شرکت تاکید کرده که این باتها عملکردی نامناسب داشتهاند.
اوپنایآی اعلام کرد که باتهای هوش مصنوعی تلاش کردهاند از «دولتها، دانشگاهها، نهاده…
💢 بیشتر نشانههای افسردگی با دمای بالاتر بدن در زمان بیداری همراه است
پژوهشی تازه به سرپرستی دانشگاه کالیفرنیا در سانفرانسیسکو نشان داده که دمای بدن افراد مبتلا به افسردگی بالاتر است.
این یافته احتمال میدهد که کاهش دمای بدن این افراد بتواند برای سلامت روانشان مفید باشد. این پژوهش که در مجله Scientific Reports منتشر شد، در ابتدا برای بررسی افسردگی طراحی نشده بود.
پژوهشگران میخواستند ببینند آیا دادههای ثبتشده ب…
『 در حصار خو یشتن 』
❒ دیوار روانی همیشه از ترس ساخته نمیشود؛ گاهی از تجربه ساخته میشود.
انسان در برابر جهان صرفاً گشوده نیست؛
او باید بیاموزد چه چیزی را به درون راه دهد، از چه چیزی فاصله بگیرد و تا کجا به دیگری اجازهی نزدیک شدن بدهد.به همین دلیل، هر مرزی در روان را نمیتوان بیماری دانست.
گاهی مرز، شرطِ سلامت است.
گاهی دفاع، شرطِ بقاست.
و گاهی همان دفاعی که زمانی زندگی را حفظ کرده، چنان تثبیت میشود که دیگر اجاز…
💢بیل گیتس در برنامهٔ Meet the Press شبکهٔ NBC :
هوش مصنوعی میتواند بهقدری قدرتمند شود که خطرات فاجعهباری ایجاد کند و میتواند «رویدادهایی را به پیش ببرد که... باعث مرگ یک میلیارد نفر شوند.»
«هرگز سلاحی بهقدرت ترکیب افراد با نیت بد که از جدیدترین ابزارهای هوش مصنوعی استفاده میکنند وجود نداشته است.»
Bill Gates warned that AI could become powerful enough to create catastrophic risks, saying it could “drive event…
💢 ایلان ماسک :
برای ما مهم است که به ایمنی هوش مصنوعی توجه نزدیک داشته باشیم.
اما بگذارید درباره نتیجهٔ مثبت ۹۰ درصدی به شما بگویم. نتیجهٔ مثبت ۹۰ درصدی این است که همه رباتهایی دارند که همراهشان هستند.
و اگر به جنگ ستارگان فکر کنید، جایی که C-3PO و R2-D2 را داشتیم، و آنها رباتهای دوستانه و مفیدی بودند، خب، آیا عالی نمیشد اگر همه میتوانستند C-3PO و R2-D2 شخصی خودشان را داشته باشند، اما حتی بهتر از آن؟
مثلاً پ…
💢 غذا خوردن با کسی که دوستش دارید قند خون را کاهش میدهد
آیا حضور شریک عاطفی میتواند شیوه سوخت و ساز بدن شما را تغییر دهد؟ پاسخ پژوهشگران مثبت است.
یک مطالعه بالینی جدید نشان میدهد که صرف وعدههای غذایی در کنار شریک زندگی نه تنها از جهشهای ناگهانی قند خون جلوگیری میکند، بلکه بازگشت گلوکز به سطح طبیعی را نیز سرعت میبخشد.
این پژوهش که در نشریه معتبر «پیشرفتهای علمی» به چاپ رسیده، به سرپرستی تیمی از دانشمندان د…
💢 رباتها در چین ربات میسازند
چین برای تولید سالانه ۱۰ هزار ربات انساننما، کارخانه هوشمند راهاندازی کرد
نخستین کارخانه هوشمند جهان برای تولید صنعتی رباتهای انساننما، با ظرفیت سالانه ۱۰ هزار دستگاه، در چین رسما آغاز به کار کرد؛ کارخانهای که در آن، رباتها ربات میسازند.
این تاسیسات که در شهر لیوژو، واقع در منطقه گوانگشی، قرار دارد، حاصل سرمایهگذاری مشترک شرکت زیمنس و شرکت چینی «یوبیتک رباتیکس» است که در حو…
💢 چرا پژوهشگران دیگر آلزایمر را «غیرقابل درمان» نمیدانند؟
در گزارش جهانی آلزایمر سال ۲۰۲۶ آمده است که موجی از «خوشبینی واگیردار» در میان پژوهشگران جریان دارد.
تازهترین و گستردهترین گزارش سالانه انجمن جهانی آلزایمر حاکی از تغییری بنیادین در نگاه محققان است: زوال عقل دیگر یک عارضه بهطور مطلق «غیرقابل درمان» قلمداد نمیشود.
پروفسور کالین مسترز، عصبشناس سرشناسی که پژوهشهایش پایه فرضیه رسوب پروتئین آمیلوئید بوده…
❤3👏2🎉1
Showing the 12 most recent of 295 posts we hold for @ScientificDialectics. 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.
Posts edited after publishing
@ScientificDialectics edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
14 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 17 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 16 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Science Magazine @science_magazine · 22,122 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 21 September 2026
🕊 فرازتد⚡️(روشنگری) @FarazTed · 20,586 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 26 September 2026
کانال علمی بیگ بنگ @big_bangpage · 39,158 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 31 August 2026
Science Documentaries مستندهای علمی @Documentary20 · 23,094 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 19 September 2026
دانش، آگاهی @daneshagahi · 28,319 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 10 September 2026
دکتر علی صاحبی @drali_sahebi · 21,411 Telegram ranks this channel #25 of 83 here — alongside 82 others — read 24 September 2026
سراب حقیقت☯️🕎✝️☪️ @sarabehaghighat · 22,342 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 21 September 2026
دنياى گمشده @lostworldss · 33,229 Telegram ranks this channel #43 of 86 here — alongside 85 others — read 4 September 2026
مدرسه علوم انسانی @zistboommedia · 32,278 Telegram ranks this channel #45 of 99 here — alongside 98 others — read 5 September 2026
یافتههای نوین روانشناختی @Hrman11 · 23,378 Telegram ranks this channel #49 of 90 here — alongside 89 others — read 18 September 2026
کتاب نایاب @ketabnayyab · 89,468 Telegram ranks this channel #49 of 92 here — alongside 91 others — read 17 August 2026
علاقمندان به «دکتر آذرخش مکری» @azarakhsh_mokrii · 24,291 Telegram ranks this channel #62 of 89 here — alongside 88 others — read 21 September 2026
خوانش کتاب برای انسان خردمند @homosapiensfa · 43,950 Telegram ranks this channel #67 of 90 here — alongside 89 others — read 28 August 2026
طرحواره درمانی @tarhvaredarmani1 · 22,214 Telegram ranks this channel #77 of 89 here — alongside 88 others — read 21 September 2026
پادکست روانشناسی سايكوپاد @psychopod · 22,933 Telegram ranks this channel #91 of 92 here — alongside 91 others — read 19 September 2026
This channel appears in 15 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“دیالکتیک علمی” (@ScientificDialectics), 24,277 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ScientificDialectics.
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.