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Channel
Virtual Study Group For NEET PG/ INI / FMGE 2026
@studywithdrdeepak
On this record: Growth · Engagement · What this channel posts · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
24,333subscribers
+257 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 | -1001825001378 |
|---|---|
| Type | Channel |
| Username | @studywithdrdeepak |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/studywithdrdeepak |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 11:46 | 24,333 | -10 |
| 28 Aug 2026, 09:43 | 24,343 | +3 |
| 27 Aug 2026, 07:13 | 24,340 | +8 |
| 26 Aug 2026, 07:32 | 24,332 | +15 |
| 24 Aug 2026, 11:55 | 24,317 | -4 |
| 22 Aug 2026, 16:58 | 24,321 | +1 |
| 21 Aug 2026, 04:42 | 24,320 | +37 |
| 20 Aug 2026, 02:51 | 24,283 | +26 |
| 18 Aug 2026, 23:58 | 24,257 | +7 |
| 17 Aug 2026, 22:03 | 24,250 | +14 |
| 16 Aug 2026, 20:07 | 24,236 | +50 |
| 15 Aug 2026, 10:38 | 24,186 | +48 |
| 13 Aug 2026, 23:58 | 24,138 | +35 |
| 12 Aug 2026, 16:18 | 24,103 | +4 |
| 11 Aug 2026, 19:14 | 24,099 | +2 |
| 10 Aug 2026, 16:06 | 24,097 | +14 |
| 9 Aug 2026, 15:18 | 24,083 | -10 |
| 8 Aug 2026, 18:40 | 24,093 | -1 |
| 7 Aug 2026, 18:47 | 24,094 | +21 |
| 6 Aug 2026, 18:40 | 24,073 | first reading |
Engagement
284 posts held, back to 5 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 49 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.30%
- avg views ÷ 24,333 subscribers
- Avg views / post
- 802
- 258 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 284
- of 284 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.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 284 (5 August 2026 – 29 August 2026) |
| Views total | 206,981 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 09:03 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
- 1h 28m
- Average length
- 1m 02s
Measured directly from 86 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.
Recent posts
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🚀 Preparing for NEET PG / FMGE / INI-CET 2026 or 2027? Struggling to stay consistent? Join the Virtual Library App, trusted by 5000+ Medicos. ✅ 24×7 Virtual Study Room with Live Daily Rankings ✅ Focus App Blocker ✅ Mentorship & Mental Health Sessions ✅ Girls-Only Groups & Subject-Wise Discussion Communities 🎁 50% OFF – Use Code: CRACKPG26 🆓 24-Hour FREE Trial 📚 For NEET PG 2026 🔗 https://superprofile.bio/vp/h4QW3…
Virtual Study Group For NEET PG/ INI / FMGE 2026 pinned a photo
🏆 Daily Rankings - 28 Aug | Virtual Library 🚀 Today’s Top 3 Performers 🥇Dr Shreya 🥈Dr Parth 🥉Dr Rishita 📊 See the complete rankings 👇 https://www.virtuallibrary.in/rankings ✨ Study Anytime, Anywhere. 📚 24×7 Virtual Study Rooms 🏆 Daily Rankings 🚫 Focus App Blocker 👨🏫 Mentorship & Discussion Groups 🎓 NEET PG 2027–28 Admissions Open ✅ Trusted by 5000+ Medical Aspirants 🚀 Join Virtual Library Now 👇 https://www.vi…
Virtual Study Group For NEET PG/ INI / FMGE 2026 pinned a photo
🏆 Daily Rankings - 27 Aug | Virtual Library 🚀 Today’s Top 3 Performers 🥇Dr Monika 🥈Dr Anshi 🥉Dr Vibha 📊 See the complete rankings 👇 https://www.virtuallibrary.in/rankings ✨ Study Anytime, Anywhere. 📚 24×7 Virtual Study Rooms 🏆 Daily Rankings 🚫 Focus App Blocker 👨🏫 Mentorship & Discussion Groups 🎓 NEET PG 2027–28 Admissions Open ✅ Trusted by 5000+ Medical Aspirants 🚀 Join Virtual Library Now 👇 https://www.virt…
Virtual Study Group For NEET PG/ INI / FMGE 2026 pinned «Transcript & Recording of Today’s Mental Health Session Must Read or Listen Before the Exam ⬇️ Managing the Last 24 Hours Before NEET PG & Exam Day: Key Guidance by Dr. Devashish Palkar (Psychiatrist) https://docs.google.com/document/d/1F53GqWgcod-Y6GI…»
Transcript & Recording of Today’s Mental Health Session Must Read or Listen Before the Exam ⬇️ Managing the Last 24 Hours Before NEET PG & Exam Day: Key Guidance by Dr. Devashish Palkar (Psychiatrist) https://docs.google.com/document/d/1F53GqWgcod-Y6GI4AZyK0T4bQLOdlkKE0603zZDSG3g/edit?usp=drivesdk
A driver receives a speeding ticket after repeatedly exceeding the speed limit, and subsequently drives more slowly. This represents:
- Negative reinforcement21%
- Positive reinforcement26%
- Negative punishment18%
- Positive punishment34%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Which statement correctly describes negative reinforcement?
- Adding a pleasant stimulus to decrease behavior7%
- Removing an unpleasant stimulus to increase behavior33%
- Removing a pleasant stimulus to decrease behavior21%
- Adding an unpleasant stimulus to decrease behavior39%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A student studies harder because every time they score well, their parents give them a reward. This is:
- Extinction1%
- Operant conditioning47%
- Classical conditioning49%
- Generalization3%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 284 posts we hold for @studywithdrdeepak. 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 104 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.
Which statement correctly describes negative reinforcement?
- Adding a pleasant stimulus to decrease behavior7%
- Removing an unpleasant stimulus to increase behavior33%
- Removing a pleasant stimulus to decrease behavior21%
- Adding an unpleasant stimulus to decrease behavior39%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A driver receives a speeding ticket after repeatedly exceeding the speed limit, and subsequently drives more slowly. This represents:
- Negative reinforcement21%
- Positive reinforcement26%
- Negative punishment18%
- Positive punishment34%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
First-line pharmacological treatment for catatonia is:
- Fluoxetine14%
- Lorazepam54%
- Lithium7%
- Haloperidol25%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A medical student is worried about an upcoming examination. He consciously decides not to think about his anxiety and deliberately focuses on studying. Which defense mechanism is being used?
- Projection8%
- Suppression69%
- Denial6%
- Repression17%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A student studies harder because every time they score well, their parents give them a reward. This is:
- Extinction1%
- Operant conditioning47%
- Classical conditioning49%
- Generalization3%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which of the following is a classic indication for ECT?
- Somatic symptom disorder25%
- Specific phobia5%
- Catatonia65%
- Mild depression5%
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 284 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 — 102,957 of 1,625,404entries 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.
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.
@pathologybydrpreeti · 121,498
Telegram ranks this channel #14 of 61 here — alongside 60 others — read 26 August 2026
@kayspsm · 43,068
Telegram ranks this channel #30 of 63 here — alongside 62 others — read 28 August 2026
@zainabvorachannel · 116,368
Telegram ranks this channel #40 of 55 here — alongside 54 others — read 26 August 2026
@obgynwithDrDeepti · 75,784
Telegram ranks this channel #51 of 66 here — alongside 65 others — read 26 August 2026
@crackpsmwithdrneha · 49,087
Telegram ranks this channel #54 of 64 here — alongside 63 others — read 26 August 2026
@bhanuprakashdr · 137,554
Telegram ranks this channel #59 of 62 here — alongside 61 others — read 26 August 2026
@drnikitarwm · 83,573
Telegram ranks this channel #60 of 62 here — alongside 61 others — read 26 August 2026
@DBMCIOfficialChannel · 44,527
Telegram ranks this channel #74 of 77 here — alongside 76 others — read 28 August 2026
This channel appears in 8 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.
“Virtual Study Group For NEET PG/ INI / FMGE 2026” (@studywithdrdeepak), 24,333 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/studywithdrdeepak.
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.