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 21 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
6 measurements spanning 36 days, net -3. 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 554–560 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 23:37
556
+1
27 Aug 2026, 19:33
555
-1
20 Aug 2026, 01:54
556
-1
13 Aug 2026, 23:57
557
-2
7 Aug 2026, 17:05
559
no change
6 Aug 2026, 18:47
559
first reading
Engagement
16 posts held, back to 14 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 1 page of 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 16 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
5 reactions across 4 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
100.0%
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 4 of the 16 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 14 July 2026 to 2 August 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.
❇️آغاز معاینات پزشکی حج تمتع ۱۴۰۶؛ بیش از ۲۵۰ پزشک در سراسر کشور مسئول بررسی استطاعت جسمی زائران شدند
🔹معاون مرکز پزشکی حج و زیارت جمعیت هلالاحمر از آغاز فرآیند معاینات پزشکی متقاضیان حج تمتع ۱۴۰۶ خبر داد و گفت: تاکنون از میان ۵۶ هزار و ۵۹۵ متقاضی معرفیشده، بیش از یک هزار نفر تحت معاینه قرار گرفتهاند و ۲۵۳ پزشک متخصص و عمومی در سراسر کشور مسئول بررسی استطاعت جسمی زائران هستند.
🔹به گزارش پایگاه اطلاعرسانی حج و ز…
🔴🟡🟠راهنمای معاینات متقاضیان حج 1406
با توجه به محل سکونت و سهولت دسترسی، یک پزشک معاین را از فهرست پزشکان استان انتخاب نمایید.
پس از انتخاب پزشک، برای هماهنگی زمان معاینه با شماره اعلامشده تماس حاصل فرمایید.
در زمان مقرر، با همراه داشتن آزمایشها و در صورت نیاز عکس قفسه سینه و نوار قلب، به پزشک معاین مراجعه نمایید.
پس از شروع فرایند معاینات، تغییر پزشک معاین یا محل ادامه معاینات امکانپذیر نخواهد بود.
در صورت درخوا…
اطلاعیه معاینات پزشکی حج تمتع 1406
با توجه به ارسال پیامک برای زائرانی که در سایت حج من (My haj) برای حج تمتع سال 1406 اعلام آمادگی کرده اند به اطلاع این زائران می رساند که پس از دریافت پیامک و از طریق لینک داده شده در پیامک ، وارد سایت شده و اسامی پزشکان استان آذربایجان غربی را مشاهده نموده و از طریق شماره تلفن داده شده با یکی از پزشکان معرفی شده تماس حاصل نمایند و برای انجام معاینات نوبت بگیرند
*۵۰ هزار نفر برای حج تمتع ۱۴۰۶ اعلام آمادگی کردند؛ آغاز احراز استطاعت جسمی در روزهای آینده*
🔹رئیس سازمان حج و زیارت از اعلام آمادگی بیش از ۵۰ هزار نفر برای تشرف به حج تمتع ۱۴۰۶ خبر داد و گفت: فرآیند احراز استطاعت جسمی این افراد با بارگذاری فهرست پزشکان معتمد در سامانه، از روزهای آینده وارد مرحله اجرایی خواهد شد.
🔹 علی رضا رشیدیان افزود: در هفته نخست، دارندگان قبوض ودیعهگذاری که برای حج تمتع ۱۴۰۵ ثبتنام کرده بودند…
*صدور ویزای عمره با اعتبار یک ساله*
وزارت حج و عمره عربستان سعودی از راهاندازی ویزای جدید عمره با اعتبار یکساله و امکان ورود چندباره به این کشور خبر داد.
بر اساس این طرح، دارندگان ویزا میتوانند طی یک دوره ۳۶۵ روزه، چندین بار وارد عربستان شوند و در مجموع حداکثر ۹۰ روز در این کشور اقامت داشته باشند.
این ویزا از تاریخ صدور به مدت یک سال اعتبار دارد و استفاده از آن منوط به رعایت مقررات و شرایط تعیینشده از سوی مقامه…
*❇️اولویتهای جدید جهت ثبت اعلام آمادگی متقاضیان تشرف به حج تمتع ۱۴۰۶/دارندگان قبوض تا 30 آذرماه به سامانه حج من مراجعه نمایند*
🔹در مرحله اعلام آمادگی حج تمتع 1406 که از 21 تیرماه آغاز شده است ، امکان ثبت اعلام آمادگی برای دارندگان قبوض ودیعهگذاری حج که تاریخ ودیعهگذاری آنان تا ۳۰ آذرماه ۱۳۸۶ می باشد نیز فراهم می شود تا از امروز دوشنبه 29 تیرماه در سامانه «حج من» اعلام آمادگی خود را ثبت نمایند.
🔹به گزارش پایگا…
Showing the 12 most recent of 16 posts we hold for @haj12005. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@haj12005 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@haj_ir_iran1406 named in 2 posts, 8 August 2026 – 8 August 2026
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“🕋 کاروان حج تمتع ۱۲۰۰۵ اهل سنت مهاباد 🇮🇷” (@haj12005), 556 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/haj12005.
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.