Other / unclassifiable — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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
13 measurements spanning 40 days, net +42. 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 2,291–2,350 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 02:58
2,343
+1
11 Sept 2026, 16:36
2,342
+7
7 Sept 2026, 11:41
2,335
+15
2 Sept 2026, 12:36
2,320
+4
30 Aug 2026, 21:35
2,316
-6
28 Aug 2026, 07:18
2,322
+5
25 Aug 2026, 10:49
2,317
+7
22 Aug 2026, 09:19
2,310
+4
16 Aug 2026, 04:52
2,306
+3
12 Aug 2026, 04:57
2,303
+5
8 Aug 2026, 20:31
2,298
-3
6 Aug 2026, 05:51
2,301
no change
6 Aug 2026, 00:23
2,301
first reading
Engagement
16 posts held, back to 22 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages 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 27 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
345 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 67.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
233
67.5%
👏
41
11.9%
💯
13
3.77%
🕊
13
3.77%
👍
12
3.48%
🤝
12
3.48%
🙏
9
2.61%
🏆
6
1.74%
😍
4
1.16%
✍
2
0.58%
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 14 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 345 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 22 October 2025 to 27 July 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.
#گزارش_درمان
#پیوند_انگشت_قطع_شده
حدود 5 ماه پیش انگشت دست یکی از دوستان توی کارگاه با اره برقی قطع شد
عکس انگشت قطع شده
همه دکترا از جمله خود دکتر جراح اعتقاد داشت که حتی بعد از پیوند این انگشت قطع میشه
اکثر جراحان اعتقاد داشتن که هر دو انگشت قطع میشه
مجبور شدم که با دکتر ایوب ِ نادری وارد ِ بحث بشم
ایشان هم اعتقاد داشت که این انگشت قطع خواهد شد
به ایشان گفتم: آقای دکتر شما عمل را انجام بدین، بنده با توجه به د…
هشدار تصاویر دلخراش
توضیحات پست بعدی
🌸شما هم میتوانید گزارش درمان رو خود یا دیگران را به آیدی زیر ارسال کنید
@erfan_halghe1
🟣 لینک کانال تلگرام جهت درمان با حلقه های رحمانیت الهی 👇
T.me/faradarmangaronline
#فرادرمانی #عرفان_کیهانی #عرفان_حلقه #عرفان_کیهانی_حلقه #سایمنتولوژی
#محمدعلی_طاهری
#تشعشع_دفاعی
#faradarmani
❌ جهت مطالعه گزارش درمان بیماری مورد نظرتان، کلمه مورد نظر را در قسمت جستجوی کانال، تایپ کنید
مثلا بیش فعالی ، لکنت زبان، hpv ، زگیل تناسلی ، اعتیاد ، افسردگی و ...
جهت دسترسی به پست میانبر لیست گزارش های درمان، روی لینک پایین کلیک نمایید
🌸شما هم میتوانید گزارش درمان رو خود یا دیگران را به آیدی زیر ارسال کنید
@erfan_halghe1
🟣 لینک کانال تلگرام جهت درمان با حلقه های رحمانیت الهی 👇
T.me/faradarmangaronline
#فر…
به نام بي نام او
گزارش درمان
بیماری احتمال عفونت تنفسی در کودک شیرخوار
(از گزارشهای همراه پزشکمون ،گزارش ۲۷۰)
سلام . من پزشك هستم و قبلا گزارشاتى رو به اشتراك گذاشتم. اين مورد رو براى كسانى ميذارم كه ميگن فرادرمانى همون تلقينه. حدود ساعت ٢٠ در درمانگاه نشسته بودم كه مادرى سراسيمه شير خوار ٣ ماهه ش رو اورد كه "از صبح شير نخورده ، تب داره و تند تند نفس ميكشه. " دستم رو براى شمردن نفسش رو شكم گذاشتم ، و در عين حال ارتبا…
#شـــــــروع ثبت نام کـــلاس فـــــــرادرمــــانـــی،
تــــرم یــــک عـــرفـــــان حــــــــلقه
زمان: سه شنبه ها، ساعت ۲۱، بوقت ایران
🎓 آموزش دورهای ترمیک عرفان حلقه در کلاس با تدریس مربی های قدیمی با تجربه امانتدار بصورت آنلاین #همزمان در گروه خصوصی تلگرام
گروه کلاسی ۲۴ ساعته در تلگرام
پاسخگویی فوری به سوالات
تفویض لایه محافظ
تدریس با رعایت اصول امانتداری
تیم آموزشی قوی و دلسوز
اخذ گزارش روزانه و بررسی گزارشهای …
🔆🔅 #فرادرمانی راهی برای #درمان
✅ مصاحبه با یکی از بیماران مبتلا به #ms
#ام_اس
روزنامه صبح اقتصاد
۲۵ خرداد ماه ۱۳۸۹
🌸شما هم میتوانید گزارش درمان رو خود یا دیگران را به آیدی زیر ارسال کنید
@erfan_halghe1
🟣لینک کانال تلگرام جهت درمان با حلقه های رحمانیت الهی 👇
Telegram.me/faradarmangaronline
#فرادرمانی #عرفان_کیهانی #عرفان_حلقه #عرفان_کیهانی_حلقه #سایمنتولوژی
#محمدعلی_طاهری
#تشعشع_دفاعی
#faradarmani
🔆🔅
#گزارش_درمان
#ناباروری
با سلام به همه خوبان عرفان حلقه
بنده و همسرم بیش از ۱۲ساله که دنبال عرفان هستیم و چه ریاضتت ها که نکشیدیم (مثل ۸سال تمام گیاهخواری کردیم و لب به گوشت و تخم مرغ قند و چای نزدیم . ۹سال دکتر نرفتیم حتی زماتی که به حال مرگ افتادیم . روزه های یک هفته ای یا ده روزه میگرفتیم که واقعا سخت بود) فقط برای اینکه خدا رو بیابیم .
خلاصه بعد اینهمه ریاضت صاحب انرژی شدیم و شروع کردیم به درمانگری که بماند …
❤26👏11🏆3👍3🙏3💯1🤝1😍1
Showing the 12 most recent of 16 posts we hold for @ganjinedarmanarchive. 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.
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
@ganjinedarmanarchive 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.
@faradarmangaronline named in 8 posts, 8 August 2026 – 8 August 2026
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.
کد کیهانی قانون جذب @kodekeyhani_jazb · 25,515 Telegram ranks this channel #38 of 59 here — alongside 58 others — read 14 September 2026
« موسیقی وحال خوب» @Halekhobah · 31,115 Telegram ranks this channel #47 of 73 here — alongside 72 others — read 6 September 2026
افکارزیبا @afkarreziba · 25,230 Telegram ranks this channel #62 of 71 here — alongside 70 others — read 14 September 2026
🌦آوای بــــ⛈ـاران🌦 @av_baroon · 29,129 Telegram ranks this channel #62 of 72 here — alongside 71 others — read 9 September 2026
زندگی مثبت @EbartTakede · 24,570 Telegram ranks this channel #65 of 77 here — alongside 76 others — read 16 September 2026
This channel appears in 5 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“عرفان حلقه / گزارش درمان بیماری با فرادرمانی و سایمنتولوژی” (@ganjinedarmanarchive), 2,343 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ganjinedarmanarchive.
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.