Religion — 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 69% 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.
Growth
23 measurements spanning 81 days, net -243. 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 7,463–7,778 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
4 Nov 2026, 01:26
7,499
-15
1 Nov 2026, 11:48
7,514
-9
29 Oct 2026, 08:17
7,523
-14
26 Oct 2026, 15:54
7,537
-12
23 Oct 2026, 05:45
7,549
-5
20 Oct 2026, 11:31
7,554
-9
17 Oct 2026, 02:10
7,563
-15
14 Oct 2026, 07:46
7,578
-9
10 Oct 2026, 15:02
7,587
-5
4 Oct 2026, 21:15
7,592
-2
25 Sept 2026, 16:18
7,594
-15
16 Sept 2026, 19:21
7,609
-15
13 Sept 2026, 06:58
7,624
-16
9 Sept 2026, 09:55
7,640
-18
3 Sept 2026, 22:01
7,658
-11
31 Aug 2026, 13:34
7,669
-13
28 Aug 2026, 17:33
7,682
-16
25 Aug 2026, 18:18
7,698
-20
22 Aug 2026, 13:04
7,718
-2
19 Aug 2026, 11:53
7,720
first reading
Engagement
44 posts held, back to 10 July 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.7%
avg views ÷ 7,499 subscribers
Avg views / post
1,020
15 posts measured
Reaction rate
2.13%
reactions ÷ views · ER floor
Posts in window
15
of 44 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 13 of 15 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 27 October 2026
Posts held
44 (10 July 2026 – 27 October 2026)
Views total
15,359
Reactions total
283
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 00:24 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
97
Videos
4
Links
5
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.
Reaction mix
1,204 reactions across 38 posts, in 11 distinct kinds. The most used accounts for 64.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
770
64.0%
👍
203
16.9%
👏
94
7.81%
🙏
38
3.16%
🔥
35
2.91%
👌
27
2.24%
💯
15
1.25%
🕊
9
0.748%
⚡
8
0.664%
🤔
4
0.332%
🏆
1
0.083%
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 39 of the 44 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 1,204 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 10 July 2026 to 27 October 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 44 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Kaf_magazine. 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 44 most recent posts we hold for this entry, published 10 July 2026 to 27 October 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: 2 of 15 posts held from the last 30 days (13.3%) 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).
پروتکل چهارمرحلهای برای سنجش حقیقت و نجات از تله قضاوت
۱. قاعدهی بیاعتباری احساس مظلومیت:
هر زمان دیدید پس از شنیدن یک تحلیل، گزارش یا بحث، احساسات شما به جوش آمد و فریاد کشیدید که «این گزارش کاملاً مغرضانه و علیه ماست»، یک لحظه ترمز کنید. احساس قربانی شدن در شما، سند غرضورزی رسانه نیست؛ نشانه فعال شدن فیلتر تعصب در ناخودآگاه شماست.
۲. بازسازی استدلال دشمن (Steel-manning):
ذهنی که نتواند منطق، انگیزهها و استدل…
چرا مغز متعصب، حقیقتِ متوازن را خیانت میداند؟
این پیام، کالبدشکافی یکی از خطرناکترین توهمات ادراکی انسان است: «توهم بیطرفی خود و غرضورزی جهان.»
روان ما طوری طراحی شده که باور دارد جهان را «دقیقاً همانگونه که هست» میبیند. به همین دلیل وقتی رسانهها، افراد یا تحلیلگران روایتی ارائه میدهند که با پیشفرضهای ما صددرصد همپوشانی ندارد، نخستین واکنش روانی ما این نیست که بگوییم «شاید زاویه دید دیگری هم وجود دارد»؛ ب…
سپس دکتر گرگوری برنز همین آزمایش را زیر دستگاه اسکن مغز انجام داد و دید کسانی که تسلیم نظر جمع میشوند، مغزشان واقعاً تصویر را تحریف میکند؛ یعنی مغز ترجیح میدهد شما را کور کند تا اینکه دردِ تنهایی و مخالفت با قبیله را تحمل کند.
پروتکل چهارمرحلهای بیداری
شجاعت یک ژن جادویی نیست؛ یک عضله در قشر پیشپیشانی مغز است که اگر در روزمرگی تمرین داده نشود، در لحظه بحران فلج خواهد بود:
۱. تمرین «مخالفتهای کوچک» (حساسیتزدا…
چرا انسان در خیال خود قهرمان است و در واقعیت، همرنگ با جماعت؟
وقتی فیلمهای تاریخی میبینیم یا درباره جنایتها، بردهداریها و ظلمهای گذشته میخوانیم، همگی در ذهنمان خودمان را جای «قهرمان داستان» میگذاریم؛ کسی که تنهایی جلوی ظلم میایستد، به مظلوم پناه میدهد و حقیقت را فریاد میزند. تقریباً هیچکس خودش را جای آن جمعیتِ تماشاچی که سکوت کردند یا هورا کشیدند، تصور نمیکند.
اما بیایید با واقعیت عریان روبهرو شویم…
برای خاموش کردن موتور مقایسه و بازگشت به آرامش درونی:
۱. آزمون جزیرهی متروک (حذف تماشاگر):
پیش از شروع هر هدف، بپرسید: «اگر قرار بود هیچکس هرگز نفهمد به این دستاورد رسیدهام، باز هم برایش تلاش میکردم؟» اگر پاسخ منفی است، در حال تغذیهی هیولای مقایسه هستید.
۲. جایگزینی «پختگی» به جای «رتبه»:
تمرکز را از «بهتر بودن از دیگران» به «عمیقتر شدن مهارت شخصی» منتقل کنید. لذت بردن از فرآیند ساختن و خلق کردن، خالصترین …
چرا حتی پس از رسیدن به موفقیت هم طعم آرامش را نمیچشید؟
دلیل اینکه بسیاری از انسانها در اوج موفقیت و تحسین، در درون خود احساس پوچی و فرسودگی میکنند، یک خطای ساختاری در نحوهی تعریف «عزتنفس» است.
ژان-ژاک روسو در تاریخ فلسفه و روانشناسی، تمایزی بنیادین میان دو نوع دوست داشتنِ خود قائل شد؛ دو سازوکار متضاد که یکی سرچشمهی استواری است و دیگری موتور اضطراب بیپایان: تفاوت میان «خوددوستی اصیل» و «خودپسندیِ مقایسهای»…
پروتکل خروج از تلهی خدایگان و بنده
برای ساختن هویتی اصیل و رهایی از اعتیاد به تاییدهای دستوری:
۱. طرد کردن تأییدهای اجباری:
تملقِ کسانی را که هزینهی مخالفت با شما را ندارند جدی نگیرید. اگر در جمعی هستید که هیچکس جرئت به چالش کشیدن ایدههایتان را ندارد، بدانید در آن اتاق رشد متوقف شده است.
۲. جستوجوی احترام از ارادههای آزاد:
اعتبار واقعی را از انسانهای مستقل، بینیاز و همتراز بخواهید؛ کسانی که به راحتی می…
چرا تأیید زیردستان، روان شما را از درون پوچ و عقیم میکند؟
اگر خودتان را میان آدمهایی محصور کردهاید که جرئت، توان یا اجازهی «نه» گفتن به شما را ندارند، شما مقتدرترین فرد آن جمع نیستید؛ بلکه در یکی از خطرناکترین تلههای روانی و فلسفی تاریخ گرفتار شدهاید.
گئورگ ویلهلم فریدریش هگل در کتاب پدیدارشناسی روح، سازوکاری را کالبدشکافی کرد که زیربنای روانکاوی مدرن و فلسفهی قدرت قرار گرفت: دیالکتیک خدایگان و بنده.
حقیقتِ…
Showing the 12 most recent of 44 posts we hold for @Kaf_magazine. 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
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
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی کاف | مترجم کتاب حکمت” (@Kaf_magazine), 7,499 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Kaf_magazine.
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.