Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
12,000 average views per post against 13,081 subscribers — an engagement rate of 91.5%. Across the 940 registered channels in the same cohort — 10,005–31,586 subscribers, posting mainly in Hindi — the middle half sit between 4.57% and 19.3%, with a median of 10.00%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
9 of 9 published in the window (0 exact, 9 rounded by Telegram)
Views totalled
107,780
Mature posts only
91.5% over 9 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
53 measurements spanning 87 days, net -208. 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 13,039–13,374 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)
Subscribers
Change
6 Nov 2026, 08:26
13,078
-3
4 Nov 2026, 10:46
13,081
-2
3 Nov 2026, 12:30
13,083
-3
2 Nov 2026, 13:16
13,086
-3
1 Nov 2026, 13:28
13,089
-6
31 Oct 2026, 10:16
13,095
-4
30 Oct 2026, 10:48
13,099
-6
29 Oct 2026, 07:21
13,105
-7
28 Oct 2026, 04:37
13,112
-3
27 Oct 2026, 02:45
13,115
-1
25 Oct 2026, 05:20
13,116
-7
24 Oct 2026, 03:40
13,123
-1
23 Oct 2026, 03:19
13,124
-3
22 Oct 2026, 06:29
13,127
-9
20 Oct 2026, 23:27
13,136
-9
19 Oct 2026, 19:21
13,145
-1
18 Oct 2026, 16:15
13,146
-4
17 Oct 2026, 16:59
13,150
-3
16 Oct 2026, 17:06
13,153
+5
15 Oct 2026, 16:06
13,148
first reading
Engagement
57 posts held, back to 1 June 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
92.6%
avg views ÷ 13,078 subscribers
Avg views / post
12,100
9 posts measured
Reaction rate
0.601%
reactions ÷ views · ER floor
Posts in window
9
of 57 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 3 November 2026
Posts held
57 (1 June 2026 – 3 November 2026)
Views total
108,970
Reactions total
655
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 06:42 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
14s
Average length
14s
Measured directly from 1 video 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.
Reaction mix
5,968 reactions across 55 posts, in 5 distinct kinds. The most used accounts for 84.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,013
84.0%
👍
472
7.91%
🏆
287
4.81%
🔥
167
2.80%
🎉
29
0.486%
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 55 of the 57 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 5,968 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 1 June 2026 to 3 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 9 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).
फ़र्क़ केवल इतना है ,
कि बिन नमक के खाने में स्वाद कितना है।
मेहनती लोगों और सफल लोगों फ़र्क़ केवल इतना है कि मेहनत के साथ धैर्य कितना है ।
Dr Ravi Fageria
Associate Proffesor
आम लोग जब अपने आराम की तलाश में होते हैं ।
ठीक उसी समय जो अपने सपनों के पूरे करने की आश में होते हैं
वो अपनी पढ़ाई के पास होते हैं !
उम्मीद है आप इस समय जाग रहे होंगे और नए सवेरे की आश में भी होंगे
शुभ रात्रि 🌙 जय हो
डॉ रवि फ़गेडिया
विभिन्न क्षेत्रों में चाँद की संभावना
• जयपुर: रात 8:23 / 8:28 बजे
• जोधपुर: रात 8:41 बजे
• अजमेर: रात 8:30 बजे
• उदयपुर: रात 8:38 बजे
• कोटा: रात 8:28 बजे
• बीकानेर: रात 8:26 बजे
• बाड़मेर: रात 8:45 बजे
कब आएगी भर्ती ?कितनी आएगी वैकेंसी ?
परीक्षा कब होगी?
वैसे तो इन सवालों के सर्वमान्य उतर देना असंभव है लेकिन फिर भी इन सभी सवालों का जवाब है ☺️
👉
समय पर आएगी भर्ती ,विभाग की आवश्यकता अनुसार आएगी वैकेंसी,
जब भर्ती एजेंसी को उचित समय लगेगा तब होगी परीक्षा ।
पर अब प्रश्न यह है कि क्या आप इसका प्रत्युत्तर देंने के लिए तैयार हैं ?
किसी भी लक्ष्य को प्राप्त करने के लिए उसको लेकर हर संभावित प्रश्न जो हमारे मन मस्तिष्क में उत…
छद्म विनम्रता (अहंकार )और विनम्रता में बड़ा फ़र्क़ है रे बाबा ।
छद्म विनम्रता/अहंकार का मतलब है किसी भी तरीक़े से सबका ध्यान अपनी ओर खींचना या खुद को महत्वपूर्ण समझना।और स्थापित करना ।
यह एक ऐसी मानसिकता है जहाँ आप सोचते हैं कि आपको सब कुछ पता है या आप सबसे बेहतर हैं, जबकि आपके अलावा सभी लोग मूर्ख, दयनीय या गलत हैं और समय की गति अनुसार नहीं हैं । यह ऐसा है जैसे आप खुद को भगवान या दूसरों से नैतिक रूप से श्रेष्ठ समझते …
Showing the 12 most recent of 57 posts we hold for @rfageria21st. 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.
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.
AD Sir official @adsiroffical · 23,187 Telegram ranks this channel #27 of 49 here — alongside 48 others — read 19 September 2026
Geography by Dr. Jhajharia Sir @cosmossikar · 24,524 Telegram ranks this channel #29 of 76 here — alongside 75 others — read 18 September 2026
Pawan bhanwariya Assistant Professor @bhanwariyaP · 86,490 Telegram ranks this channel #36 of 92 here — alongside 91 others — read 18 August 2026
Dr Lokesh Bali @DrLokeshBali · 45,200 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 27 August 2026
Kalam Offline Sikar @kalamacademyskr · 33,413 Telegram ranks this channel #47 of 64 here — alongside 63 others — read 5 September 2026
Himanshu Chaudhary Maths @himanshuchaudharymaths · 73,162 Telegram ranks this channel #50 of 51 here — alongside 50 others — read 21 August 2026
DKgupta:online videos for Govt.Exam @DKGupta1122 · 72,380 Telegram ranks this channel #53 of 78 here — alongside 77 others — read 20 August 2026
Political Sci. with Dr. Beniwal @beniwalsir · 29,377 Telegram ranks this channel #55 of 78 here — alongside 77 others — read 8 September 2026
Rajendra yadav HISTORY @yadavhistory · 20,327 Telegram ranks this channel #57 of 69 here — alongside 68 others — read 28 September 2026
S.S. Yadav Telegram Channel😊 @ssyadavsirtelegram · 45,502 Telegram ranks this channel #70 of 83 here — alongside 82 others — read 27 August 2026
Kalam Test Series Official @KalamTestSeries · 180,170 Telegram ranks this channel #74 of 90 here — alongside 89 others — read 12 August 2026
Kalam Academy Jaipur Class Time Table @KalamAcademyJaipurClassTime · 70,686 Telegram ranks this channel #83 of 87 here — alongside 86 others — read 20 August 2026
Education Portal @EducationPortal1 · 121,013 Telegram ranks this channel #87 of 90 here — alongside 89 others — read 13 August 2026
This channel appears in 13 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.
“Dr.Ravi Fageria(VR Educators)” (@rfageria21st), 13,078 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/rfageria21st.
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.
