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Channel
Public Health Squad-PSM residency by Kashish Grover
@kays_psm_residency
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
669subscribers
-2 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002058611311 |
|---|---|
| Type | Channel |
| Username | @kays_psm_residency |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/kays_psm_residency |
Topic
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 20 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 05:39 | 669 | -1 |
| 5 Sept 2026, 16:39 | 670 | -1 |
| 29 Aug 2026, 05:42 | 671 | no change |
| 28 Aug 2026, 22:15 | 671 | first reading |
Engagement
20 posts held, back to 31 March 2025 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 1 March 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
20 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 80.0% | |
| 👍 | 3 | 15.0% | |
| 🔥 | 1 | 5.00% |
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 12 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 20 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 31 March 2025 to 1 March 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
PSM Residents. Exclusive WhatsApp group now open. Daily MCQs Research guidance Concept clarity Exam preparation Serious residents only. Whatsapp at 7988228397 Name PG batch College
https://www.instagram.com/reel/DUMv0cNEuDb/?igsh=c3F4ZTBmb2s1MmNy
https://www.instagram.com/p/DRjLxupEvep/?igsh=bDB4NzJqd2duNjN6
Residents, let’s build something powerful together. I’m starting a dedicated space for you a place where public health won’t feel like a maze, where concepts actually click, where we talk real residency life, mistakes, wins, and the messy middle we never admit. If you’re a PSM resident (or just someone who wants to think like one), come join me on Instagram. I’ll share quick notes, real cases, high-yield breakdowns…
Join @kays_psm_residency CHEST Clinics in Every District All government hospitals, including district hospitals, community and urban health centres, have been ordered to establish CHEST Clinics dedicated to screening, treatment, and follow-up. Hospitals to Be Strengthened and Staff Trained All PHCs, CHCs and District Hospitals (DHs) have been directed to ensure adequate medicines, oxygen cylinders, nebulizers, venti…
https://youtu.be/tln37TgPopE?si=9qyzoWJvCzQLkYaa
Topic of the week! “HEALTH PROGRAMS = NIGHTMARE for Residents” Let’s be honest — no matter how many times you read them, National Health Programs never stick. Too many names, too many components, and endless updates! That’s why I’ve created an exclusive, resident-friendly course that breaks down all major health programs in a way that’s easy to understand, retain, and recall in exams. No more mugging. Just smart, …
👍1
Residents Feedback after attending PSM residents masterclass by Kashish Grover
❤2
CBR, CDR, IMR update
❤5
MMR update
❤4
https://www.youtube.com/live/FrFQVh47KtU?si=8nsrh7IG7bp_zCe6
Showing the 12 most recent of 20 posts we hold for @kays_psm_residency. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
@PSMSID · 27,892
Telegram ranks this channel #43 of 60 here — alongside 59 others — read 10 September 2026
@kayspsm · 42,789
Telegram ranks this channel #52 of 63 here — alongside 62 others — read 28 August 2026
@RadiologywithSumer · 34,744
Telegram ranks this channel #58 of 66 here — alongside 65 others — read 3 September 2026
This channel appears in 3 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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“Public Health Squad-PSM residency by Kashish Grover” (@kays_psm_residency), 669 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/kays_psm_residency.
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.