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
59 measurements spanning 91 days, net +1,397. 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 17,563–19,410 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
6 Nov 2026, 12:17
19,173
+2
5 Nov 2026, 12:34
19,171
-5
4 Nov 2026, 10:01
19,176
-1
3 Nov 2026, 07:49
19,177
-2
2 Nov 2026, 08:47
19,179
-8
1 Nov 2026, 09:09
19,187
-4
30 Oct 2026, 09:35
19,191
-6
29 Oct 2026, 06:27
19,197
+5
28 Oct 2026, 07:21
19,192
+1
27 Oct 2026, 07:17
19,191
+12
26 Oct 2026, 09:34
19,179
+4
25 Oct 2026, 09:25
19,175
+3
24 Oct 2026, 11:00
19,172
+9
23 Oct 2026, 09:38
19,163
+1
22 Oct 2026, 06:17
19,162
+2
19 Oct 2026, 20:56
19,160
+5
18 Oct 2026, 23:45
19,155
-3
18 Oct 2026, 02:17
19,158
+4
17 Oct 2026, 01:47
19,154
+12
16 Oct 2026, 02:38
19,142
first reading
Engagement
250 posts held, back to 3 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 61 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.0%
avg views ÷ 19,173 subscribers
Avg views / post
2,290
25 posts measured
Reaction rate
0.269%
reactions ÷ views · ER floor
Posts in window
25
of 250 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 22 of 25 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 4 November 2026
Posts held
250 (3 August 2026 – 4 November 2026)
Views total
57,280
Reactions total
139
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 15:26 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
804
Videos
11
Links
77
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
1,560 reactions across 206 posts, in 7 distinct kinds. The most used accounts for 79.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,243
79.7%
🤯
118
7.56%
🤔
80
5.13%
👍
45
2.88%
🔥
38
2.44%
👏
28
1.79%
🥰
8
0.513%
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 221 of the 250 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 1,560 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 250 most recent posts we hold, published 3 August 2026 to 4 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 25 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).
141. A digital blood pressure device repeatedly measures a patient's BP as 160/100 mmHg. A calibrated reference device consistently records the actual BP as 130/80 mmHg. Which property best describes the digital device? #PSMSIMPLIFIED #DRMUKHMOHIT
A. High accuracy and low reliability17%
B. High reliability and low accuracy60%
C. High accuracy and high reliability15%
D. Low reliability and high validity9%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Researchers conclude that the findings can be applied to the broader target population.Which study characteristic most directly supports this conclusion? #PSMSIMPLIFIED #DRMUKMOHIT
A. Internal validity17%
B. Reliability47%
C. Precision13%
D. External validity24%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
139. A hospital increases the serum biomarker threshold used to diagnose an acute infection. Higher biomarker values indicate disease. Which change is most likely? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Increased sensitivity and decreased specificity24%
B. Increased sensitivity and increased false positives37%
C. Decreased sensitivity and increased specificity33%
D. Decreased specificity and increased false negatives6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
138. An observational study reports lower mortality in patients receiving a new treatment, but patients in the treatment group were younger and had fewer comorbidities. What primarily threatens the causal conclusion? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Low external validity23%
B. Confounding47%
C. Low face validity17%
D. Poor test retest reliability13%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Temporality establishes that the suspected cause must precede the outcome. It is the essential temporal requirement for causal inference. Other considerations, including strength, consistency, biological gradient, and biological plausibility, strengthen causal interpretation but cannot replace the required time sequence.
137. Which Bradford Hill criterion requires that exposure to a suspected risk factor occurs before the development of disease? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Consistency5%
B. Biological plausibility50%
C. Temporality36%
D. Specificity9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A propagated epidemic results from transmission between individuals and may produce successive waves separated by approximately one incubation period. In contrast, a point-source epidemic typically produces a single sharp peak because many individuals are exposed to the same source over a short period.
136. An outbreak of measles shows successive peaks in the epidemic curve, with each peak occurring approximately one incubation period after the previous peak. Which epidemic pattern is most likely? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Point-source epidemic8%
B. Continuous common-source epidemic44%
C. Propagated epidemic37%
D. Intermittent common-source epidemic12%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
In a positively skewed distribution, a few extremely large observations pull the mean toward the right tail. The median is resistant to extreme values and is therefore more appropriate for describing the central tendency of skewed data. In the classic unimodal right-skewed distribution, the order is mean > median > mode.
134. A 28-year-old woman requests a long-acting, reversible, nonhormonal contraceptive. She chooses CuT 380A. What is its approved duration of effectiveness in India's family planning programme? #PSMSIMPLIFIED #DRMUKHMOHIT
A. 3 years3%
B. 5 years24%
C. 7 years5%
D. 10 years68%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤3
Showing the 12 most recent of 250 posts we hold for @mukhmohitPSM_channel. 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 202 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.
141. A digital blood pressure device repeatedly measures a patient's BP as 160/100 mmHg. A calibrated reference device consistently records the actual BP as 130/80 mmHg. Which property best describes the digital device? #PSMSIMPLIFIED #DRMUKHMOHIT
A. High accuracy and low reliability17%
B. High reliability and low accuracy60%
C. High accuracy and high reliability15%
D. Low reliability and high validity9%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Researchers conclude that the findings can be applied to the broader target population.Which study characteristic most directly supports this conclusion? #PSMSIMPLIFIED #DRMUKMOHIT
A. Internal validity17%
B. Reliability47%
C. Precision13%
D. External validity24%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
139. A hospital increases the serum biomarker threshold used to diagnose an acute infection. Higher biomarker values indicate disease. Which change is most likely? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Increased sensitivity and decreased specificity24%
B. Increased sensitivity and increased false positives37%
C. Decreased sensitivity and increased specificity33%
D. Decreased specificity and increased false negatives6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
138. An observational study reports lower mortality in patients receiving a new treatment, but patients in the treatment group were younger and had fewer comorbidities. What primarily threatens the causal conclusion? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Low external validity23%
B. Confounding47%
C. Low face validity17%
D. Poor test retest reliability13%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
137. Which Bradford Hill criterion requires that exposure to a suspected risk factor occurs before the development of disease? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Consistency5%
B. Biological plausibility50%
C. Temporality36%
D. Specificity9%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
136. An outbreak of measles shows successive peaks in the epidemic curve, with each peak occurring approximately one incubation period after the previous peak. Which epidemic pattern is most likely? #PSMSIMPLIFIED #DRMUKHMOHIT
A. Point-source epidemic8%
B. Continuous common-source epidemic44%
C. Propagated epidemic37%
D. Intermittent common-source epidemic12%
Shares as published, totalling 101%. 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 250 most recent posts we hold, published 3 August 2026 to 4 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.
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 4 October 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.
Dr Neha Taneja Community Medicine @crackpsmwithdrneha · 49,739 Telegram ranks this channel #6 of 64 here — alongside 63 others — read 26 August 2026
mbbs2nd_YearNotes @mbbs2nd_YearNotes · 223 Telegram ranks this channel #23 of 55 here — alongside 54 others — read 11 September 2026
OBGYN with Dr Deepti Bahl @obgynwithDrDeepti · 75,262 Telegram ranks this channel #23 of 66 here — alongside 65 others — read 26 August 2026
Cerebellum Academy video @cerebellumacademynotespdf · 20,284 Telegram ranks this channel #24 of 46 here — alongside 45 others — read 26 September 2026
PSMSID AGONY AUNT @PSMSID · 27,765 Telegram ranks this channel #30 of 60 here — alongside 59 others — read 10 September 2026
Pathology videos & books @sketchymedical · 90,617 Telegram ranks this channel #40 of 41 here — alongside 40 others — read 26 August 2026
Cerebellum Academy @cereb_ellumacademy · 21,512 Telegram ranks this channel #41 of 67 here — alongside 66 others — read 22 September 2026
DR ASHISH NEET-PG/NEXT CHANNEL @DrAshishNEXT · 22,777 Telegram ranks this channel #43 of 68 here — alongside 67 others — read 20 September 2026
PSM by Kashish Grover (Channel) @kayspsm · 42,411 Telegram ranks this channel #43 of 63 here — alongside 62 others — read 28 August 2026
DAMS OFFICIAL @damsdelhiofficial · 59,201 Telegram ranks this channel #43 of 65 here — alongside 64 others — read 26 August 2026
Dr. Rohan Khandelwal - Surgery Updates @rohankhandelwalsurgery · 21,064 Telegram ranks this channel #46 of 66 here — alongside 65 others — read 25 September 2026
Mnemonics for NEET PG @mnemonics4neetpg · 21,813 Telegram ranks this channel #46 of 54 here — alongside 53 others — read 21 September 2026
Radiology Unplugged Dr Sumer Sethi @RadiologywithSumer · 34,380 Telegram ranks this channel #49 of 66 here — alongside 65 others — read 3 September 2026
Integrated Learning Channel @integratedlearningchannel · 34,680 Telegram ranks this channel #50 of 62 here — alongside 61 others — read 4 September 2026
One_stop_medico✨ @one_stop_medico · 68,255 Telegram ranks this channel #52 of 55 here — alongside 54 others — read 26 August 2026
Channel : Dr. Nikita Nanwani @drnikitarwm · 83,303 Telegram ranks this channel #52 of 62 here — alongside 61 others — read 26 August 2026
Channel- DR PREETI SHARMA @pathologybydrpreeti · 124,636 Telegram ranks this channel #52 of 61 here — alongside 60 others — read 26 August 2026
Dr. Zainab Vora Channel @zainabvorachannel · 117,918 Telegram ranks this channel #53 of 55 here — alongside 54 others — read 26 August 2026
NEET PG COUNSELLING CHANNEL 2025-2026 (XEN MENTORS) @NEETPGCounsellingChannel · 23,049 Telegram ranks this channel #55 of 65 here — alongside 64 others — read 23 September 2026
Cerebellum academy notes @cerebellumacademyCA · 20,017 Telegram ranks this channel #56 of 57 here — alongside 56 others — read 29 September 2026
Virtual Study Group For NEET PG/ INI / FMGE 2026 @studywithdrdeepak · 25,268 Telegram ranks this channel #58 of 59 here — alongside 58 others — read 15 September 2026
Dr.G.Bhanu Prakash - Official👨⚕️ @bhanuprakashdr · 139,886 Telegram ranks this channel #58 of 62 here — alongside 61 others — read 26 August 2026
Surgery 🩺 @Surgery_Videos · 22,852 Telegram ranks this channel #64 of 65 here — alongside 64 others — read 19 September 2026
DBMCI Official @DBMCIOfficialChannel · 44,180 Telegram ranks this channel #64 of 77 here — alongside 76 others — read 28 August 2026
This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Mukhmohit’s PSM Simplified” (@mukhmohitPSM_channel), 19,173 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/mukhmohitPSM_channel.
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.