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Channel

NTA-NET EDUCATION Prep -NIDHI VAISH

@EdJrf

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

2,840subscribers

-7 since we began measuring on 28 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001198642189
TypeChannel
Username@EdJrf
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 August 2026
Last confirmed live9 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/EdJrf

Growth

2,8402,8532,846.528 August 2026 — 2,847 subscribers28 August 2026 — 2,847 subscribers31 August 2026 — 2,849 subscribers3 September 2026 — 2,853 subscribers9 September 2026 — 2,840 subscribers28 August 20269 September 2026
5 measurements spanning 12 days, net -7. 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 2,838–2,855 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 06:412,840-13
3 Sept 2026, 17:142,853+4
31 Aug 2026, 02:352,849+2
28 Aug 2026, 13:142,847no change
28 Aug 2026, 03:302,847first reading

Engagement

20 posts held, back to 19 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.94%
avg views ÷ 2,840 subscribers
Avg views / post
197
20 posts measured
Reaction rate
0.491%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 4 of 20 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 27 August 2026
Posts held20 (19 August 202627 August 2026)
Views total3,942
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 03:30 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
15s
Average length
15s

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

4 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
250.0%
👍125.0%
🔥125.0%

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 4 of the 20 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 19 August 2026 to 27 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

27 Aug 2026, 05:10 UTC73 viewsread 28 August 2026

🚀 MISSION-JRF: UGC-NET DEC 2026 BATCH Education (Paper-2) Comprehensive Program Crack your JRF with our highly structured, exam-oriented approach. No more rote learning—master the concepts and advanced methodologies needed to clear the exam with absolute confidence. 📅 Start Date: 16 July 2026 ⏳ Duration: 6-Month Course + 8-Month Total Validity 💳 Fee: ₹3550/- only 💎 What You Get: Complete Syllabus: Unit-wise (Units 1–

26 Aug 2026, 16:10 UTC128 views3 reactionsread 28 August 2026
Photo

Dear learners, i hope you all must know this, have patience soon you will get the desired results❤️

2🔥1

25 Aug 2026, 05:06 UTC182 viewsread 28 August 2026

Good Morning Everyone Don't Miss today's session on unit-3 Psychology of Learning conceptual/pyqs practice at 10.15 pm today in evening, we would be having detailed discussion, don't https://www.neteducationnidhi.in/courses/UGC-NET-DECEMBER-BATCH-2026-EDUCATION-SUBJECT-09-PAPER-2-ONLY-6a40cd48d793660ea46f2724 If you still left to enroll , so do enroll now if any query do text on whatsapp -9821717461

24 Aug 2026, 16:58 UTC202 viewsread 28 August 2026

Carl Jung's archetypes are universal, inborn models of people, behaviors, and personalities that live in the collective unconscious. Swiss psychiatrist Carl Jung believed these shared psychic patterns shape how we experience the world. The Four Major Jungian Archetypes Jung focused heavily on four core archetypes that direct the process of becoming a whole person: The Self: Unifies the conscious and unconscious mi

24 Aug 2026, 16:55 UTC169 viewsread 28 August 2026

Sheldon" in this context refers to William Herbert Sheldon, a psychologist who developed the "constitutional approach" which links a person's body type (somatotype) to their personality traits, suggesting that certain physical characteristics are associated with specific personality types; essentially, the idea that your body build can influence your behavior. Key points about Sheldon's constitutional approach: Somat

24 Aug 2026, 16:55 UTC145 viewsread 28 August 2026

Kretschmer's personality theory is a discredited psychological model by German psychiatrist Ernst Kretschmer that attempts to link an individual's physical body type to their personality traits and mental health predispositions. He classified people into four main types: pyknic (short, rotund), asthenic (tall, thin), athletic (muscular), and dysplastic (a mix of types). He associated pyknic types with manic-depressiv

24 Aug 2026, 16:54 UTC161 viewsread 28 August 2026

Hippocrates' theory of personality is based on the idea of four bodily fluids, or "humors" (blood, black bile, yellow bile, and phlegm), that determine a person's temperament. The theory posits that personality is a result of the balance of these humors, with an excess of one leading to a specific personality type: sanguine (cheerful, optimistic), melancholic (sad, depressed), choleric (irritable, ambitious), or phle

24 Aug 2026, 15:52 UTC183 views0 reactionsread 28 August 2026

Good Evening Everyone , Get Ready for the today's session in UGC-NET EDUCATION BATCH Paper-2 at 10.15 pm evening , Live session link has been given to you all in your batch https://www.neteducationnidhi.in/courses/UGC-NET-DECEMBER-BATCH-2026-EDUCATION-SUBJECT-09-PAPER-2-ONLY-6a40cd48d793660ea46f2724

23 Aug 2026, 16:53 UTC236 viewsread 28 August 2026

ODISHA SSB PGT SYLLABUS COMPLETED BATCH OF EDUCATION SUBJECT https://www.neteducationnidhi.in/courses/SSB-ODISHA-PGT-SYLLABUS-COMPLETE-NOTES--64df5491e4b0fc0b0a1fa367 ODISHA SSB LECTUERSHIP https://www.neteducationnidhi.in/courses/SSB-ODISHA--LECTURERS-FOR-NONGOVT-AIDED-COLLEGES-OF-ODISHA-COURSE--2-MONTHS-COMPLETE--64fed4d2e4b00eec4d3dae18 Refer these batches for complete revision, learning and practice. If any que

23 Aug 2026, 15:56 UTC128 viewsread 28 August 2026
Photo

🚀 MISSION-JRF: UGC-NET DEC 2026 BATCH Education (Paper-2) Comprehensive Program Crack your JRF with our highly structured, exam-oriented approach. No more rote learning—master the concepts and advanced methodologies needed to clear the exam with absolute confidence. 📅 Start Date: 16 July 2026 ⏳ Duration: 6-Month Course + 8-Month Total Validity 💳 Fee: ₹3550/- only 💎 What You Get: Complete Syllabus: Unit-wise (Units 1–

Showing the 12 most recent of 20 posts we hold for @EdJrf. 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.

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 · 45,435
Telegram ranks this channel #32 of 77 here — alongside 76 others — read 28 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“NTA-NET EDUCATION Prep -NIDHI VAISH” (@EdJrf), 2,840 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/EdJrf.

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.