Research Aptitude Part 3 Live Class started

Channel
Nav Classes NET JRF
@navclasses
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
26,108subscribers
-978 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001128793027 |
|---|---|
| Type | Channel |
| Username | @navclasses |
| Description | Crack UGC NET, Research Courses Yt FREE classes https://youtube.com/@navclasses 📲 Get the Nav Classes app: https://play.google.com/store/apps/details?id=co.hodor.mdqty 💻 Laptop: https://learn.navclasses.in/login Any query call 8448919905 |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/navclasses |
Topic
Education — 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 10 September 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 10:37 | 26,108 | -15 |
| 9 Nov 2026, 15:38 | 26,123 | -28 |
| 8 Nov 2026, 06:11 | 26,151 | -11 |
| 7 Nov 2026, 03:25 | 26,162 | -21 |
| 6 Nov 2026, 00:49 | 26,183 | -14 |
| 5 Nov 2026, 00:08 | 26,197 | -8 |
| 4 Nov 2026, 03:04 | 26,205 | -12 |
| 2 Nov 2026, 04:29 | 26,217 | -2 |
| 1 Nov 2026, 07:46 | 26,219 | -1 |
| 31 Oct 2026, 04:29 | 26,220 | -13 |
| 30 Oct 2026, 03:59 | 26,233 | -25 |
| 29 Oct 2026, 00:41 | 26,258 | -9 |
| 27 Oct 2026, 22:00 | 26,267 | -2 |
| 26 Oct 2026, 20:17 | 26,269 | -19 |
| 25 Oct 2026, 17:56 | 26,288 | -1 |
| 24 Oct 2026, 20:18 | 26,289 | -2 |
| 23 Oct 2026, 20:59 | 26,291 | -10 |
| 22 Oct 2026, 21:06 | 26,301 | -8 |
| 21 Oct 2026, 21:09 | 26,309 | -4 |
| 20 Oct 2026, 17:09 | 26,313 | first reading |
Engagement
627 posts held, back to 1 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 151 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.62%
- avg views ÷ 26,108 subscribers
- Avg views / post
- 424
- 220 posts measured
- Reaction rate
- 0.298%
- reactions ÷ views · ER floor
- Posts in window
- 220
- of 627 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 28 of 220 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 627 (1 August 2026 – 13 November 2026) |
| Views total | 93,197 |
| Reactions total | 38 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 06:18 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
- Photos
- ≈8,690
- Videos
- ≈325
- Links
- ≈15,900
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1m 03s
- Average length
- 1m 03s
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
133 reactions across 96 posts, in 4 distinct kinds. The most used accounts for 94.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 125 | 94.0% | |
| 🎉 | 6 | 4.51% | |
| 👍 | 1 | 0.752% | |
| 🥰 | 1 | 0.752% |
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 107 of the 627 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 134 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 627 most recent posts we hold, published 1 August 2026 to 13 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: 1 of 220 posts held from the last 30 days (0.455%) 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).
UGC NET JRF Dec 2026 | Paper 1 Mathematical Reasoning | One Shot | Navdeep Mam https://youtube.com/live/s8yetYEgFxE?feature=share
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Photo, posted without a caption
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6AM Research Aptitude Part 2 Live Class STarted
UGC NET JRF Dec 2026 | Paper 2 Commerce Marathon | One Shot June 2026 PYQs Navdeep Mam https://youtube.com/live/5TaUUiWik7c?feature=share
Choti Diwali Vlog | परिवार के साथ पूजा और तैयारी https://youtu.be/P3fKkqOcps0
Let’s test your concepts 👀 | Quiz of the Day – 11th November 2026 Only real NET/JRF warriors will get this right 💪 👉 Answer this question in the YouTube Community Post now. 🔗 Click here & comment your answer: 👉https://youtube.com/post/Ugkxdwe6lw9eY4-TCNkyEzzuLUs8CnOHIBrE?si=h4gC-uE1rvX1Cb1u ✅ Comment “JRF is Mine 🔥” if your answer is correct ❌ Comment “REVISION 🔁” if your answer is wrong #navclasses #navlearners …
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Showing the 12 most recent of 627 posts we hold for @navclasses. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@commercenetachievers · 73,983#1
@raghavwadhwa · 18,414#2
@everstudy · 13,458#3
@UGCNET_GSET_EduSahyog · 1,218#4
@ms00007sharma · 18,202#5
@jrfaddaofficial · 41,975#6
@AchieversAddaAA · 8,702#7
@gyanaddabysm · 35,559#8
@PriyankaMaamTestbook · 23,517#9
@GsetQuizAartiPrajapati · 3,197#10
@NETJRFLITERATURE · 521#11
@jigyasu98 · 426#12
@UGCNETCommerceMadeEasy · 1,712#13
@commercespotlight · 3,033#14
@rashmijrfguru · 1,491#15
@pallavipathshala · 2,436#16
@Sen_Academy · 2,002#17
@commercehubb · 1,961#18
@SeekStudySmartly · 4,024#19
@Bapu86 · 1,858#20
@debaknowledgepoint · 1,508#21
@ugc_net_commerce · 3,722#22
@nishamittal · 2,262#23
@UtkarshUGCNET · 10,683#24
@ugcnetpaperold · 2,552#25
@ugcnetbyrajatsir · 18,534#26
@LibraryScienceforall · 4,018#27
@KumarBharatEdu · 167,776#28
@successwithmukeshgoyal · 5,482#29
@priti_hooda7987 · 10,119#30
@unacademyugcnetenglish · 6,882#31
@libinfscienceprof · 4,317#32
@NETGSET · 5,667#33
@partheducationofficialtelegram · 15,601#34
@nta_net_Jrf_paper1 · 4,900#35
@ugc_net_management_commerce · 8,832#36
@phd_thesis_research_plagiarism · 1,536#37
@pradeepmaths · 1,965#38
@gdsbpmupdates1 · 4,175#39
@Research_thought · 4,129#40
@SarkariResult2012 · 1,511,636#41
@onlineonlineonlin · 329 (as read 12 September 2026)#42
@commercestudymaters · 4,981#43
@Phdnotificationonly · 21,113#44
@CurrentAffairs_Boosters · 3,909#45
@Punjab_GK_PPSC_Class_12 · 3,039#46
@Kapil_Ghosiya · 4,130#47
@mcomfirst · 533 (as read 12 September 2026)#48
@gujarat_naukri · 2,703#49
@compitionmantra · 489#50
@samyadevv · 3,036#51
@computerknowledgequiz · 639#52
@EDUCATION_ZONE_PDF_UMAKANTA_BGHA · 973 (as read 12 September 2026)#53
@Kvs1721 · 1,406#54
@Candlestickskerala · 782 (as read 12 September 2026)#55
@firstpuccommerce · 1,956#56
@telegramtips · 10,615,215#57
@TradersArenaRocketCalls · 3,600#58
@vidyacareeracademy · 2,367#59
@odiabhasasahitya_books · 7,179#60
@hamster_kombat · 19,576,556#61
@odialiteraturebook · 5,331#62
@hirenjoshi7185 · 2,790#63
@INDIA_GK_GS_QUEZ · 1,957#64
@sarojmishrachannel · 32,594#65
@Soucrcesforstudies · 4,989#66
@dbeeludhiana · 5,192#67
@theprofessionals · 13,157#68
@aksbookslibrary · 7,098#69
@shardauniversityuz · 1,723#70
@catizenann · 3,294,946#71
Read from Telegram’s recommendation API, most recently 12 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@commercenetachievers · 73,983
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 19 August 2026
@jrfaddaofficial · 41,975
Telegram ranks this channel #7 of 81 here — alongside 80 others — read 30 August 2026
@PriyankaMaamTestbook · 23,517
Telegram ranks this channel #10 of 71 here — alongside 70 others — read 22 September 2026
@gyanaddabysm · 35,559
Telegram ranks this channel #12 of 71 here — alongside 70 others — read 1 September 2026
@KumarBharatEdu · 167,776
Telegram ranks this channel #28 of 82 here — alongside 81 others — read 12 August 2026
@sarojmishrachannel · 32,594
Telegram ranks this channel #45 of 61 here — alongside 60 others — read 4 September 2026
This channel appears in 6 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“Nav Classes NET JRF” (@navclasses), 26,108 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/navclasses.
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.