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Hi folks welcome to JRFADDA official channel to take your UGC NET preparations to the next level with daily PYQ polls, current affairs, tests, expert tips.
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 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
61 measurements spanning 93 days, net +2,190. 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 39,400–42,258 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
8 Nov 2026, 12:10
41,920
-8
7 Nov 2026, 08:51
41,928
+1
6 Nov 2026, 11:19
41,927
+9
5 Nov 2026, 13:57
41,918
+7
4 Nov 2026, 14:07
41,911
+19
3 Nov 2026, 10:45
41,892
+36
2 Nov 2026, 08:41
41,856
+35
1 Nov 2026, 06:26
41,821
+28
31 Oct 2026, 02:58
41,793
+45
30 Oct 2026, 05:41
41,748
+22
29 Oct 2026, 06:36
41,726
+18
28 Oct 2026, 06:59
41,708
+24
27 Oct 2026, 06:47
41,684
+20
26 Oct 2026, 10:16
41,664
+9
25 Oct 2026, 08:00
41,655
+35
24 Oct 2026, 09:46
41,620
+9
23 Oct 2026, 10:55
41,611
+5
22 Oct 2026, 14:16
41,606
+11
21 Oct 2026, 06:39
41,595
+17
20 Oct 2026, 03:26
41,578
first reading
Engagement
1,463 posts held, back to 6 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 178 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.01%
avg views ÷ 41,920 subscribers
Avg views / post
844
486 posts measured
Reaction rate
0.169%
reactions ÷ views · ER floor
Posts in window
491
of 1,463 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 93 of 486 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 8 November 2026
Posts held
1,463 (6 August 2026 – 8 November 2026)
Views total
410,166
Reactions total
145
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 21:33 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
≈736
Videos
≈64
Links
≈23,700
Lifetime counters from Telegram’s own channel header, read 8 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
50s
Average length
10s
Measured directly from 5 videos 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
246 reactions across 150 posts, in 8 distinct kinds. The most used accounts for 90.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
223
90.7%
👍
8
3.25%
👏
6
2.44%
👌
3
1.22%
😁
2
0.813%
🥰
2
0.813%
👎
1
0.407%
🤝
1
0.407%
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 174 of the 1,000 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 246 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 4 September 2026 to 8 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 491 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).
🌙 JRFADDA 9 PM PAPER 1 | “Roll no. 900 is 3× smarter than roll no. 300!” 😂
Professor: “900 is bigger, so this student must be brilliant!”
Research scholar: “Sir, roll number is an ID—not a measurement of intelligence.” 😅
📊 RESEARCH APTITUDE | 4 SCALES OF MEASUREMENT
A number on a form is NOT automatically a quantity.
THE LADDER (each step adds a property):
NOMINAL → labels/categories only
↓ + meaningful order
O…
📌 UGC NET notification checklist — what to verify before sharing
Item | Check
Exam session | June/December and year
Notice type | Application, corrigendum, city slip, admit card or answer key
Important dates | Start, closing, correction and payment windows
Proof | Dated PDF on official NTA domain
Action | Compare changes with your submitted form
Example: A corrigendum can change exam dates without changing eligibil…
🔍 “Data बनाया” vs “Data बदल दिया” — UGC NET में ये एक ही गलती नहीं है!
Keywords: Research Ethics | Academic Integrity
Research misconduct के 3 terms याद रखें:
Act | पहचान
Fabrication | जो data मिला ही नहीं, उसे बना देना
Falsification | असली data/results को misleading तरीके से बदलना या छिपाना
Plagiarism | किसी के words/ideas बिना उचित credit इस्तेमाल करना
5 exam-ready takeaways:
1) Research integrity: results ईमान…
📘 UGC NET Daily Preparation
Other NET subjects
PAPER 2 STUDY METHOD
For your own UGC NET subject: choose one unit, attempt 10 verified PYQs, categorize errors as concept/recall/time, then revise only the weak subtopic.
Reply with your subject in the linked discussion group if available.
#UGCNET #JRFAdda
📚 JRF ADDA | WEEKLY UGC NET PAPER 1 MINI MOCK
10 original practice MCQs • Target time: 12 minutes
1. Reflective teaching emphasizes: A) Rote memory B) Critical inquiry C) Dictation D) Repetition
2. A null hypothesis ordinarily states: A) Always positive effect B) No effect/difference C) Guaranteed causation D) Sampling bias
3. Median of 2, 4, 9, 11, 20: A) 4 B) 9 C) 11 D) 20
4. HTTPS primarily provides: A) Encryptio…
📘 UGC NET Daily Preparation
SUNDAY MINI QUIZ
Which sampling method gives every population member a known, nonzero probability of selection?
A) Convenience B) Snowball C) Probability sampling D) Purposive
Answer: C.
Revision: differentiate simple random, stratified and cluster sampling.
#UGCNET #JRFAdda
🌙 JRFADDA PAPER 1 NIGHT LAB | “Data bhi creative writing hai kya?” 😂
Student: “Sir, 120 responses aaye… paper mein 150 kar diye. Sample size strong dikhega!” 😎
Research guide: “Beta, that's not a sample-size upgrade. That's a research-integrity problem!” 🫠
🧪 UGC NET PAPER 1 | RESEARCH ETHICS: FFP vs PUBLICATION MISCONDUCT
🧠 SAVE THIS MINI-MAP
RESEARCH MISCONDUCT (core FFP)
├─ FABRICATION → Data/results INVENTED
├─…
🎯 NET vs JRF — WHICH QUALIFICATION OPENS WHAT?
NTA Result Category | JRF fellowship eligibility | Assistant Professor eligibility | PhD admission eligibility
Category 1: JRF + AP | YES | YES | YES
Category 2: AP + PhD | NO | YES | YES
Category 3: PhD only | NO | NO | YES
💡 Example: Category 2 clears AP eligibility but DOES NOT award a JRF fellowship. Category 3 enables PhD admission under applicable rules but is no…
Showing the 12 most recent of 1,463 posts we hold for @jrfaddaofficial. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
📊 UGC NET Paper 1 | WHEN AVERAGES LIE! Method A passes Easy 9/10, Hard 30/100. Method B passes Easy 80/100, Hard 2/10. A wins BOTH groups, but B wins overall. Which explains the reversal?
Simpson's paradox from unequal group mix52%
Proof that B is causally superior28%
A mathematical impossibility14%
A guaranteed measuring error6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Kaisa rha RENET commerce exam
What is your expected score
220+8%
200-22021%
180-20037%
Less than 18034%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 1,000 most recent posts we hold (the sample is capped at 1,000), published 4 September 2026 to 8 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
Read from Telegram’s recommendation API, most recently 30 August 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.
Kumar Bharat - UGC-NET-Paper1 @KumarBharatEdu · 167,517 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 12 August 2026
GYANADDA UGC NET JRF @gyanaddabysm · 35,602 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 1 September 2026
UGC-NET/JRF @UGCNET_JRF_NTA · 40,930 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 29 August 2026
UGC NET NTA CSIR JRF SO @UGC_NET_JRF_NTA_CSIR_SO · 144,089 Telegram ranks this channel #4 of 78 here — alongside 77 others — read 12 August 2026
Nav Classes NET JRF @navclasses · 26,151 Telegram ranks this channel #6 of 71 here — alongside 70 others — read 12 September 2026
ugc_net_jrf_csir_nta @UGC_NET_JRF_1st_Papers · 4 Telegram ranks this channel #8 of 78 here — alongside 77 others — read 12 August 2026
Toshiba Shukla Paper 1 UGC NET @toshibashukla · 34,996 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 3 September 2026
Pradyumn Tripathi Sir Testbook @pradyumansir_testbook · 31,295 Telegram ranks this channel #14 of 79 here — alongside 78 others — read 6 September 2026
Unacademy Live- NTA UGC NET @ntaugcnett · 32,364 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 6 September 2026
Priyanka Ma'am Testbook @PriyankaMaamTestbook · 23,439 Telegram ranks this channel #18 of 71 here — alongside 70 others — read 22 September 2026
UGC NET/JRF by Testbook SuperCoaching @testbook_ugcnet · 55,092 Telegram ranks this channel #26 of 76 here — alongside 75 others — read 25 August 2026
Apni University Geography @apniuniversityofficial · 24,249 Telegram ranks this channel #27 of 70 here — alongside 69 others — read 16 September 2026
Commerce Net Achievers @commercenetachievers · 74,090 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 19 August 2026
PW UGC-NET @pwugcnet · 47,824 Telegram ranks this channel #35 of 77 here — alongside 76 others — read 28 August 2026
PHD NOTIFICATION ONLY ( Ugc Net Jrf Phd ) @Phdnotificationonly · 21,158 Telegram ranks this channel #38 of 75 here — alongside 74 others — read 25 September 2026
RPSC ADDA @RPSC_ADDA · 21,589 Telegram ranks this channel #69 of 70 here — alongside 69 others — read 23 September 2026
This channel appears in 16 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“JRFAdda” (@jrfaddaofficial), 41,920 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/jrfaddaofficial.
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.