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Channel

UGC NET/JRF by Testbook SuperCoaching

@testbook_ugcnet

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

51,192subscribers

+1,193 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001715223984
TypeChannel
Username@testbook_ugcnet
DescriptionHere you’ll get all PDFs & latest update for your UGC NET exams😍 ✅Join SuperCoaching UGC NET: https://testbook.com/ugc-net-coaching ✅Free Youtube lectures:https://www.youtube.com/channel/UC_uR26BodKBZ4HVwxwd5isQ
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held21
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/testbook_ugcnet

Topic

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 10 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 why it has no browse page of its own yet.

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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Anshikamaamtestbook/35447 Aug 2026, 08:39 UTC@testbook_ugcnet/28855 · this entry7 Aug 2026, 08:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Anshikamaamtestbook5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 8 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @testbook_ugcnet — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

49,99951,19250,595.57 August 2026 — 49,999 subscribers7 August 2026 — 50,043 subscribers8 August 2026 — 50,097 subscribers10 August 2026 — 50,126 subscribers11 August 2026 — 50,166 subscribers11 August 2026 — 50,218 subscribers13 August 2026 — 50,266 subscribers14 August 2026 — 50,341 subscribers16 August 2026 — 50,358 subscribers17 August 2026 — 50,607 subscribers18 August 2026 — 50,734 subscribers19 August 2026 — 50,802 subscribers20 August 2026 — 50,864 subscribers21 August 2026 — 50,920 subscribers22 August 2026 — 50,975 subscribers24 August 2026 — 51,063 subscribers25 August 2026 — 51,104 subscribers26 August 2026 — 51,141 subscribers27 August 2026 — 51,168 subscribers28 August 2026 — 51,164 subscribers29 August 2026 — 51,192 subscribers7 August 202629 August 2026
21 measurements spanning 22 days, net +1,193. 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 49,820–51,371 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)SubscribersChange
29 Aug 2026, 08:4451,192+28
28 Aug 2026, 06:3551,164-4
27 Aug 2026, 10:0551,168+27
26 Aug 2026, 10:3351,141+37
25 Aug 2026, 10:1351,104+41
24 Aug 2026, 13:3851,063+88
22 Aug 2026, 17:5250,975+55
21 Aug 2026, 09:4450,920+56
20 Aug 2026, 09:0550,864+62
19 Aug 2026, 12:1750,802+68
18 Aug 2026, 12:5650,734+127
17 Aug 2026, 12:1550,607+249
16 Aug 2026, 05:4450,358+17
14 Aug 2026, 13:1850,341+75
13 Aug 2026, 00:5950,266+48
11 Aug 2026, 23:1250,218+52
11 Aug 2026, 01:0150,166+40
10 Aug 2026, 00:3150,126+29
8 Aug 2026, 23:0150,097+54
7 Aug 2026, 20:4350,043first reading

Engagement

375 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.67%
avg views ÷ 51,192 subscribers
Avg views / post
2,900
372 posts measured
Reaction rate
0.056%
reactions ÷ views · ER floor
Posts in window
375
of 375 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 144 of 372 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 August 2026
Posts held375 (5 August 202629 August 2026)
Views total1,079,244
Reactions total290
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 03:25 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
13,300
Videos
50
Links
25,700

Lifetime counters from Telegram’s own channel header, read 30 August 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
45s
Average length
45s

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

290 reactions across 124 posts, in 9 distinct kinds. The most used accounts for 83.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
24283.4%
👍279.31%
🔥82.76%
😁41.38%
👎20.69%
👏20.69%
🥰20.69%
🫡20.69%
😍10.345%

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 144 of the 375 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 290reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 375 most recent posts we hold, published 5 August 2026 to 29 August 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

29 Aug 2026, 15:05 UTC≈1,330 viewsread 30 August 2026
Forwarded from @karanSir_Testbook

Watch Now - https://www.youtube.com/live/RqFV-z4Kaik?si=SfgFGAz6oFuUG1sC

29 Aug 2026, 14:01 UTC≈2,980 views3 reactionsread 30 August 2026

UGC NET Rules 2026 | UGC NET New Update | UGC New Rules For Assistant Professor 2026 | Priti Mam Watch Now - https://youtu.be/Ex0wWpSVl3E

3

29 Aug 2026, 12:59 UTC≈8,030 viewsread 30 August 2026
Photo

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29 Aug 2026, 12:16 UTC≈1,840 viewsread 30 August 2026
Photo

🔥Your Live Class on Unit - Health Educaiton Part 05 is about to start. Join Now 🔴: https://testbk.co/2uls9 - Gaurav Kumar

29 Aug 2026, 07:04 UTC≈8,270 views4 reactionsread 30 August 2026

UGC NET Cut Off 2026 | UGC NET All Subjects Cut Off 2026 | UGC NET Cut Off June 2026 | Yogita Mam Watch Now - https://youtu.be/n8lFQ0t0b2E

4

29 Aug 2026, 05:18 UTC≈4,710 views1 reactionsread 30 August 2026

https://www.youtube.com/watch?v=pnostsJf-Mk

👍1

29 Aug 2026, 03:40 UTC≈2,430 views1 reactionsread 30 August 2026
Poll

In Bloom's taxonomy, which components are considered as convergent thinking?

  1. 1)Remembering and Understanding34%
  2. 2)Creating and Evaluating25%
  3. 3)Both A and B39%
  4. 4)Neither A and B2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1

29 Aug 2026, 03:40 UTC≈2,330 views2 reactionsread 30 August 2026
Poll

A deductive argument can not be valid:

  1. 1)If its premise/premises is/are true and its conclusion is true13%
  2. 2)If its premise/premises is /are true and its conclusion is false.55%
  3. 3)If its premise/premises is/are false and its conclusion is false.22%
  4. 4)If its premise/premises is / are false and its conclusion is true.10%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

2

29 Aug 2026, 03:40 UTC≈2,050 views0 reactionsread 30 August 2026
Poll

Purpose of knowledge commission is to:

  1. 1)Find means to generate knowledge9%
  2. 2)Find relevance of knowledge to society41%
  3. 3)Find ways to generate income through knowledge30%
  4. 4)Find methods to create structure of knowledge19%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTC≈1,720 viewsread 30 August 2026
Poll

In a computer, if 8 bits are used to specify address in memory, the total number of addresses will be:

  1. 1)51211%
  2. 2)21627%
  3. 3)25650%
  4. 4)811%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTC≈1,730 views0 reactionsread 30 August 2026
Poll

Noise pollution can cause

  1. 1)Hypertension2%
  2. 2)Hearing loss11%
  3. 3)Sleep disturbances10%
  4. 4)All of the above78%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Showing the 12 most recent of 375 posts we hold for @testbook_ugcnet. 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 6 most recent of 120 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.

29 Aug 2026, 03:40 UTCAnonymous Quiz322 voters

In Bloom's taxonomy, which components are considered as convergent thinking?

  1. 1)Remembering and Understanding34%
  2. 2)Creating and Evaluating25%
  3. 3)Both A and B39%
  4. 4)Neither A and B2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTCAnonymous Quiz232 voters

A deductive argument can not be valid:

  1. 1)If its premise/premises is/are true and its conclusion is true13%
  2. 2)If its premise/premises is /are true and its conclusion is false.55%
  3. 3)If its premise/premises is/are false and its conclusion is false.22%
  4. 4)If its premise/premises is / are false and its conclusion is true.10%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTCAnonymous Quiz246 voters

Purpose of knowledge commission is to:

  1. 1)Find means to generate knowledge9%
  2. 2)Find relevance of knowledge to society41%
  3. 3)Find ways to generate income through knowledge30%
  4. 4)Find methods to create structure of knowledge19%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTCAnonymous Quiz245 voters

In a computer, if 8 bits are used to specify address in memory, the total number of addresses will be:

  1. 1)51211%
  2. 2)21627%
  3. 3)25650%
  4. 4)811%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:40 UTCAnonymous Quiz273 voters

Noise pollution can cause

  1. 1)Hypertension2%
  2. 2)Hearing loss11%
  3. 3)Sleep disturbances10%
  4. 4)All of the above78%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

29 Aug 2026, 03:39 UTCAnonymous Quiz261 voters

Which of the following is not a product of learning?

  1. 1)Attitudes28%
  2. 2)Concepts12%
  3. 3)Knowledge13%
  4. 4)Maturation46%

Shares as published, totalling 99%. 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 375 most recent posts we hold, published 5 August 2026 to 29 August 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.

Citation-graph rank

Citation-graph rank — 1,588 of 1,626,884entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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Dheer Singh Rathore™
@dsr_insights · 81,202 (as read 25 August 2026)
#58
POLITICAL SCIENCE
@POLITICAL_SCIENCE_UPSC_PCS_NET · 3,999 (as read 25 August 2026)
#59
SRIAS, Institute for Civil Services Examination UPSC & State Civil Services Examination .
@shubhraranjanBhubaneswar · 3,061
#60
UGC-NET-JRF-KSET26 English Literature
@ugcnetjrf3 · 8,608
#61
Litcharts_CourseHero_CliffNotes_SuperSummary
@litcharts1 · 6,082
#62
George R.R. Martin
@george_rr_martin_quotes · 1,393
#63
J.K. Rowling / Harry Potter
@jk_rowling_quotes · 1,403
#64
J.R.R. Tolkien
@jrr_tolkien_quotes · 2,533
#65
Regular College Updates Delhi University (SOL/Regular) (CCSU/IGNOU)
@SVPCollegeupdates · 494 (as read 25 August 2026)
#66
Sparknotes English Literature
@Sparknotes_English_Literature · 14,740
#67
INTEL SAGE 🇮🇳 (Intel Monk)
@IntelSage · 15,325
#68
91 Club Prediction ♥️
@culb91_hack · 884
#69
🅹🅾️🅷🅽🅽🆈'🆂 🆆🅾️🆁🅻🅳 🅾️🅵 🅰️🆁🆃
@JohnnysWorldOfArt · 1,264
#70
History of English literature
@nortonanthology · 753 (as read 25 August 2026)
#71
Books on literature
@masters_in_english_literature · 5,630 (as read 25 August 2026)
#72
ZUMBA MUSIC & VIDEO
@zumbamusicstav · 1,070 (as read 25 August 2026)
#73
SSC CGL RRB Study Material
@gkmindmapnotes · 2,362
#74
Physical Education, Yoga Jobs 🥇
@pejobs · 2,525 (as read 25 August 2026)
#75
Miraculously Higher
@PuneetYadav14 · 3,609
#76

Read from Telegram’s recommendation API, most recently 25 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.

PW UGC-NET
@pwugcnet · 44,799
Telegram ranks this channel #17 of 77 here — alongside 76 others — read 28 August 2026
Commerce Net Achievers
@commercenetachievers · 76,023
Telegram ranks this channel #21 of 90 here — alongside 89 others — read 19 August 2026

This channel appears in 2 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“UGC NET/JRF by Testbook SuperCoaching” (@testbook_ugcnet), 51,192 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/testbook_ugcnet.

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.