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 82% 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
26 measurements spanning 92 days, net +267. 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 5,491–5,838 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
6 Nov 2026, 01:06
5,798
+7
3 Nov 2026, 02:56
5,791
+16
30 Oct 2026, 16:16
5,775
+15
27 Oct 2026, 21:10
5,760
-7
24 Oct 2026, 15:18
5,767
+16
21 Oct 2026, 10:06
5,751
+3
18 Oct 2026, 03:50
5,748
+10
15 Oct 2026, 09:16
5,738
+16
12 Oct 2026, 16:31
5,722
+9
6 Oct 2026, 01:02
5,713
+11
29 Sept 2026, 01:37
5,702
+25
15 Sept 2026, 13:55
5,677
+14
11 Sept 2026, 11:38
5,663
+21
6 Sept 2026, 15:56
5,642
+13
2 Sept 2026, 02:22
5,629
+13
30 Aug 2026, 08:53
5,616
+19
27 Aug 2026, 02:11
5,597
+6
24 Aug 2026, 10:45
5,591
+19
20 Aug 2026, 12:15
5,572
+3
17 Aug 2026, 19:27
5,569
first reading
Engagement
71 posts held, back to 2 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.36%
avg views ÷ 5,798 subscribers
Avg views / post
311
20 posts measured
Reaction rate
3.46%
reactions ÷ views · ER floor
Posts in window
20
of 71 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 19 of 20 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 4 November 2026
Posts held
71 (2 August 2026 – 4 November 2026)
Views total
6,211
Reactions total
207
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 18:58 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.
Reaction mix
838 reactions across 69 posts, in 11 distinct kinds. The most used accounts for 79.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
665
79.4%
👍
60
7.16%
🔥
60
7.16%
🙏
24
2.86%
🕊
16
1.91%
🎉
3
0.358%
😁
3
0.358%
😍
3
0.358%
👎
2
0.239%
🤣
1
0.119%
🤩
1
0.119%
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 70 of the 71 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 838 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 71 most recent posts we hold, published 2 August 2026 to 4 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 20 posts held from the last 30 days (0%) 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).
#سوال
چرا حقیقت غیرقابل بیان است و نمیتوان آن را در قالب کلمات گفت؟
اشو:
حقیقت، تجربه بیفکری و سکوت مطلق است کلمات مانند ابرها در آسمان آگاهی هستند.
و حقیقت خودِ آسمان است.
نمیتوان آسمان را از طریق ابرها بیان کرد؛ ابرها فقط جلوی دید را میگیرند.
کلمات در بهترین حالت، انگشتانی هستند که به سمت ماه اشاره میکنند.
اما مردم به جای نگاه کردن به ماه، شروع به پرستش انگشت (کلمات، کتابها و باورها) میکنند.
اسکار وایلد م…
آموزش فراسو جلد سوم ـ فصل دوم
#سوال_از_اشو
آیا ذهن میتواند خودکشی کند؟
#پاسخ
ذهن نمیتواند خودکشی کند، زیرا ذهن هرکاری بکند، ذهن را تقویت خواهد کرد. هرعملی که از سوی ذهن انجام شود ذهن را قویتر خواهد ساخت. پس خودکشی غیر ممکن است.
هرعملی توسط ذهن صورت بگیرد، یعنی ذهن خودش را ادامه میدهد. پس طبیعت امور چنین نیست.
ولی خودکشی رخ میدهد. ذهن نمیتواند مرتکب آن شود. بگذارید کاملاً این را روشن کنم:
ذهن نمیتواند مرت…
مدتی به خودت و ذهنت استراحت بده. مدتی از تدارک دیدن و مهیا شدنهای دیوانه کننده برای زندگی دست بردار و فقط باش و زندگی کردن را امتحان کن
آری فقط زندگی کن.....
با زندگی مبارزه نکن
به زندگی فشار نیاور
آن را هُل نده
به آرامی وقوع وقایع را تماشا کن
بگذار آنچه که روی میدهد، روی بدهد. تمام تنشها و تمام شتابها را از جانب خودت بینداز و بگذار زندگی آنگونه که دوست دارد جاری شود
به زندگی اعتماد کن، بگذار زندگی راه خودش را برو…
علاقه به سکس علت روانی دارد.
به خاطر سرکوب کردنِ آن به وجود آمده است
زمانی که رابطهی جنسی سرکوب نشود، علاقهی غیرطبیعی به آن نیز از میان میرود. آنگاه احساس طبیعی باقی میماند که انحرافی و آزاردهنده نیست.
اصولاً هر چیزی که طبیعی باشد خوب است. ولی این علاقه به سکس غیرطبیعی است. و توسط سیاستمداران و کشیشان به وجود آمده است.
به تدریج که مراقبههایتان عمیقتر شده
و با روح یکدیگر بیشتر تماس پیدا میکنید،ارتباط بدنیتان…
سخنرانی دوم آگوست ۱۹۸۵
پرسش دوم
پرسش سوم:
اشوی محبوب! تجربهی من چنین است که بیرون از جمعهای بینالمللیِ ما، نوع بشر زندگی را بر اساس یک نظام تنبیه و تشویق بنا کرده است. آیا جمعهای ما تنها مکانهایی هستند که در آن مسئولیت بطور کامل پذیرفته شده و اشتباهات بعنوان فرصتهایی برای یادگیری در نظر گرفته میشوند؟ لطفاً نظر بدهید.
پاسخ:
بله. جمعهای ما تنها مکانهایی در دنیا هستند که شما کاملاً مورد پذیرش هستید، مورد قضا…
ادامه ـ
در جمعِ من تنبیه وجود ندارد زیرا من اشتباهات شما را بعنوان موجودات انسانی، بصورت طبیعی میپذیرم. تنبیه کردن شما بخاطر چیزی طبیعی و انسانی یعنی نابودکردن شما، انسانیت شما و خودانگیختگیِ طبیعی شما.
و هیچکس تشویق نمیشود، زیرا تشویق و تنبیه باهم هستند. تشویق میگوید: “کار درستی کردی. حالا به کارهای درست ادامه بده تا جایزهی بزرگ را برنده شوی!” این یک رشوه است. تلاشی است برای اینکه زندگیات را مطابق با اصول صاح…
نگذار این لحظه ی زندگی ات بی مصرف، زندگی نشده و چشیده نشده از کفت برود. آن را با شدت زندگی کن، عصارهاش را تا ته بنوش تا که بعداً ناله نکنی که زندگیات را باختهای
پس از جنگ جهانی دوم بود و جنگ تازه تمام شده بود. "جو دینک" هنوز در ژاپن بود و منتظر بود که از ارتش مرخص شود.
زنش "ایرما دینک" از شدت تشویش و حسادت میسوخت، زیرا خوانده بود که چه چیزهایی بین سربازان آمریکایی و دختران ژاپنی اتفاق میافتاد
عاقبت طاقت نیاور…
گل نیلوفر یک نماد بسیار با اهمیت دارد:
از لجن کثیف بیرون میآید
این یک نماد دگرگونی است،
یک دگردیسی
لجن کثیف است، بد بو است
گل نیلوفر معطر است
و از لجن بدبو زاده شده است.
بودا میگوید: دقیقاً به همین ترتیب، زندگی معمولی همان لجن متعفن است ولی امکان تبدیل شدن به گل نیلوفر در آنجا پنهان است
آن لجن میتواند دگرگون شود
میتوانی یک گل نیلوفر شوی
سکس میتواند متحول شده و به سامادی تبدیل شود
خشم میتواند متحول شده و به مه…
Showing the 12 most recent of 71 posts we hold for @nazeraramesh. 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
Named by 2 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.
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.
اشـoshoـو @oshoi · 19,864 Telegram ranks this channel #5 of 95 here — alongside 94 others — read 29 September 2026
کتابهای صوتی اکهارت تله , اوشو , کریشنامورتی و ... @nazeraramesh9 · 23,609 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 19 September 2026
📚🎧 کتابخانه صوتی عصر بیداری @asrebidaari · 34,675 Telegram ranks this channel #16 of 85 here — alongside 84 others — read 7 September 2026
مدیتیشن | حسین عرب زاده @meditation_hosin · 25,352 Telegram ranks this channel #26 of 69 here — alongside 68 others — read 14 September 2026
تفحص خویش @selfinquiry · 21,626 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 23 September 2026
🧘🏻♀✨💜 معجزهی سکوت درونی @OCEAN_OM · 47,418 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 27 August 2026
English 4 Life @English_4_Life · 18,668 Telegram ranks this channel #32 of 81 here — alongside 80 others — read 5 October 2026
🕯🧚♀کتابخانه صوتی ماورا🧚♀🕯 @kotobe_bartar · 29,916 Telegram ranks this channel #62 of 85 here — alongside 84 others — read 8 September 2026
اشعار کوتاه @textimix · 45,207 Telegram ranks this channel #74 of 91 here — alongside 90 others — read 27 August 2026
شب نشيني هالو @sh_n_halloo · 25,658 Telegram ranks this channel #83 of 91 here — alongside 90 others — read 13 September 2026
شعر مولانا @samaedell · 59,792 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 24 August 2026
This channel appears in 11 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“اوشو .ناظر” (@nazeraramesh), 5,798 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/nazeraramesh.
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.