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 27 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
8 measurements spanning 49 days, net -12. 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 76–105 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Oct 2026, 00:31
79
-3
9 Oct 2026, 15:01
82
-3
28 Sept 2026, 09:55
85
+3
27 Sept 2026, 08:22
82
no change
15 Sept 2026, 08:21
82
-3
6 Sept 2026, 16:20
85
-17
28 Aug 2026, 17:43
102
+11
28 Aug 2026, 08:00
91
first reading
Engagement
20 posts held, back to 13 September 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.0%
avg views ÷ 79 subscribers
Avg views / post
27.7
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 20 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 26 September 2026
Posts held
20 (13 September 2026 – 26 September 2026)
Views total
249
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 08:22 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
Video runtime
1m 18s
Average length
39s
Measured directly from 2 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.
🧚♂️🧚♀️🌸🌼
#مراقبه_روز_شنبه
#فرشته_مقرب_کاسیِل
🙏درخواست کمک در مورد:
🔸️تسویه بدهی ها وکارماها
🔸️قضاوت و کارهای حقوقی
🔸️نظم و ثبات در کارها و زندگی
کشاورزی
✨️هدیه به فرشته :
روشن کردن شمع قرمز تیره
🕯️✨ شمع تراپی تخصصی ✨🕯️
🔮 انجام شمع تراپی و
📩 هماهنگی: @karanehe
𝑳𝒊𝒏𝒌:
https://t.me/+N0vEt7QXHQxkZGU8
💟
💫 با این فایل زیبای صوتی مراقبه کنید که برای بیداری نیروهای خفته درونی و صعود به آگاهی بالاتر و برتر بسیار تاثیر گذاره 🕊✨🧖🏻♀
فرکانس 369Hz🌀
ارتعاشات عشق: این فرکانس به عنوان فرکانس معجزه و عشق شناخته شده که قابلیت این را دارد DNA شما را ترمیم کند و ارتعاشات شما را با ارتعاش جهان و طبیعت ، یعنی عشق ، هماهنگ کند.
خلاصه فواید فرکانس369🌀
فرکانس 369 هرتز انرژیهای بسته و راکد درون بدن را آزاد میکند و تأثیرات مفیدی بر …
✨🕯️ شمع جذابیت چیست؟
شمع جذابیت فقط برای زیباتر دیدهشدن نیست؛
برای فعالکردن آن بخشهایی از وجود شماست که شاید مدتهاست پنهان ماندهاند و نتوانستهاید بهدرستی از آنها استفاده کنید. ✨
در این کار، ما قرار نیست معجزه کنیم یا کسی را دستکاری کنیم.
قرار نیست اراده یا احساس شخص دیگری را تغییر بدهیم.
🌿 ما فقط کمک میکنیم مسیر برای خودِ شما روانتر شود؛
تا اعتمادبهنفس، حضور، انرژی و جذابیتی که درونتان وجود دارد، راحتت…
✨🕯️ شمع جذابیت چیست؟ 🕯️✨
شمع جذابیت شمعی است برای زمانی که میخواهید حس جذابتر بودن، دوستداشتنیتر بودن و ارتباط بهتر با خودتان را تقویت کنید؛
چه در رابطه با پارتنرتان، چه در ارتباط با خانواده و اطرافیان، و چه زمانی که جلوی آینه به خودتان نگاه میکنید. 🤍
ما با شمع جذابیت قرار نیست معجزه کنیم یا کسی را مجبور به دوست داشتن خودمان کنیم.
🌿 ما روی ذهن، احساس و نگاه خودمان به خودمان کار میکنیم.
یعنی ورودیهای ذهنمان …
دوستانی که دوست دارین تو چالش شرکت کنید
ما برای راحتی شما گروه شمع تراپی زدیم
که بتونید راحت اد بزنید
https://t.me/+N0vEt7QXHQxkZGU8
لینک گروه♥️👆🏼
جهت هماهنگی پیام بدین
👉🏻 @Nazi_fall
𝓚𝓪𝓻𝓪𝓷𝓮𝓱 𝓒𝓪𝓷𝓭𝓵𝓮 𝓣𝓱𝓮𝓻𝓪𝓹 pinned «🕯️✨ فراخوان ویژه شمع تراپی پاکسازی ✨🕯️ با ظرفیت محدود برای ۷ نفر✅ 💢جهت اعلائم آمادگی و شرکت در پاکسازی مشخصات کامل پیوی ادمین ارسال کنید💢 در این برنامه میتونید شمع تراپی پاکسازی رو به انتخاب خودتون انجام بدید: 🟡پاکسازی شخصی یا🔺پاکسازی با نیت رابطه 🕯️…»
🕯️✨ فراخوان ویژه شمع تراپی پاکسازی ✨🕯️
با ظرفیت محدود برای ۷ نفر✅
💢جهت اعلائم آمادگی و شرکت در پاکسازی مشخصات کامل پیوی ادمین ارسال کنید💢
در این برنامه میتونید شمع تراپی پاکسازی رو به انتخاب خودتون انجام بدید:
🟡پاکسازی شخصی
یا🔺پاکسازی با نیت رابطه
🕯️ شمع تراپی توسط کرانه انجام خواهد شد و پس از اتمام تراپی، تصویر شمع انجام شده برای شما ارسال میشود
https://t.me/+20dhJ50Wnhk4YTVk
شرایط شرکت
🔹 با لینک اختصاص…
Showing the 12 most recent of 20 posts we hold for @shame_karane. 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.
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 16 October 2026 — this
entry's latest reading, not the date you are reading this.
“𝓚𝓪𝓻𝓪𝓷𝓮𝓱 𝓒𝓪𝓷𝓭𝓵𝓮 𝓣𝓱𝓮𝓻𝓪𝓹” (@shame_karane), 79 subscribers as measured 16 October 2026. Telegram Register, tgregister.com/channel/shame_karane.
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.