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Telegram profile photo for Sketchy Pharma

Channel

Sketchy Pharma

@Sketchypharma

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

7,360subscribers

+721 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001434980800
TypeChannel
Username@Sketchypharma
DescriptionPharmacology channel
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/Sketchypharma

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

6,6397,3606,999.56 August 2026 — 6,639 subscribers7 August 2026 — 6,641 subscribers11 August 2026 — 6,666 subscribers14 August 2026 — 6,687 subscribers17 August 2026 — 6,694 subscribers20 August 2026 — 6,720 subscribers23 August 2026 — 6,735 subscribers26 August 2026 — 6,748 subscribers29 August 2026 — 6,773 subscribers1 September 2026 — 6,789 subscribers5 September 2026 — 6,834 subscribers11 September 2026 — 6,899 subscribers14 September 2026 — 6,930 subscribers19 September 2026 — 6,979 subscribers28 September 2026 — 7,080 subscribers5 October 2026 — 7,167 subscribers12 October 2026 — 7,220 subscribers15 October 2026 — 7,241 subscribers17 October 2026 — 7,258 subscribers20 October 2026 — 7,279 subscribers23 October 2026 — 7,308 subscribers27 October 2026 — 7,333 subscribers30 October 2026 — 7,356 subscribers2 November 2026 — 7,360 subscribers6 August 20262 November 2026
24 measurements spanning 87 days, net +721. 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 6,531–7,468 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
2 Nov 2026, 06:487,360+4
30 Oct 2026, 09:097,356+23
27 Oct 2026, 03:307,333+25
23 Oct 2026, 21:367,308+29
20 Oct 2026, 21:347,279+21
17 Oct 2026, 23:287,258+17
15 Oct 2026, 05:387,241+21
12 Oct 2026, 11:107,220+53
5 Oct 2026, 19:417,167+87
28 Sept 2026, 13:207,080+101
19 Sept 2026, 06:216,979+49
14 Sept 2026, 09:416,930+31
11 Sept 2026, 00:206,899+65
5 Sept 2026, 14:176,834+45
1 Sept 2026, 09:266,789+16
29 Aug 2026, 13:546,773+25
26 Aug 2026, 21:046,748+13
23 Aug 2026, 18:286,735+15
20 Aug 2026, 12:346,720+26
17 Aug 2026, 20:456,694first reading

Engagement

34 posts held, back to 27 November 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 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.5%
avg views ÷ 7,360 subscribers
Avg views / post
1,580
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 34 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 October 2026
Posts held34 (27 November 2025 – 30 October 2026)
Views total4,752
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 00:36 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
454
Videos
34
Links
749

Lifetime counters from Telegram’s own channel header, read 4 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.

Recent posts

30 Oct 2026, 16:53 UTC472 viewsread 4 November 2026
Forwarded from @medustudy_shop

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10 Oct 2026, 12:20 UTC≈2,140 viewsread 4 November 2026
Forwarded from @medustudy_shopPhoto

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8 Oct 2026, 17:10 UTC≈2,140 viewsread 4 November 2026
Forwarded from @internal_medicine_pdfs

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26 Sept 2026, 17:16 UTC≈1,920 viewsread 4 November 2026
Forwarded from @medustudy_shop

GET THE BEST 2026 Medical Courses & Board Reviews – Start Your Success Today! Upto 5️⃣5️⃣ percent 🔠🫡🫡 🔥 Premium Medical Courses | QBanks | Board Reviews | Medical Education 🌐 Medustudy.com 📚 Harvard AI in Clinical Medicine 2026 📚 Mayo Clinic Echocardiography Board Review Course 2026 (Videos + Slides) ✅ SCMR CMR Board Exam Review Course 2026 ✅ HFSA AHFTC Board Certification Review 2026 OnDemand – Videos + PDFs + QBank…

20 Sept 2026, 17:24 UTC≈1,110 viewsread 4 November 2026
Forwarded from @medustudy_shop

GET THE BEST 2026 Medical Courses & Board Reviews – Start Your Success Today! Upto 5️⃣5️⃣ percent 🔠🫡🫡 🔥 Premium Medical Courses | QBanks | Board Reviews | Medical Education 🌐 Medustudy.com 📚 Harvard AI in Clinical Medicine 2026 📚 Mayo Clinic Echocardiography Board Review Course 2026 (Videos + Slides) ✅ SCMR CMR Board Exam Review Course 2026 ✅ HFSA AHFTC Board Certification Review 2026 OnDemand – Videos + PDFs + QBank…

12 Sept 2026, 15:03 UTC≈1,680 viewsread 4 November 2026
Forwarded from @medustudy_shop

GET THE BEST 2026 Medical Courses & Board Reviews – Start Your Success Today! Upto 5️⃣5️⃣ percent 🔠🫡🫡 🔥 Premium Medical Courses | QBanks | Board Reviews | Medical Education 🌐 Medustudy.com 📚 Harvard AI in Clinical Medicine 2026 📚 Mayo Clinic Echocardiography Board Review Course 2026 (Videos + Slides) ✅ SCMR CMR Board Exam Review Course 2026 ✅ HFSA AHFTC Board Certification Review 2026 OnDemand – Videos + PDFs + QBank…

10 Sept 2026, 06:58 UTC≈4,020 viewsread 4 November 2026
Forwarded from @medustudy_shop

🔥🔥 TOP 2026 UWORLD RESOURCES 🔥🔥 📚 Latest UWorld 2026 QBanks & Medical Resources 🆕 UWorld ABIM Internal Medicine QBank 2026 – PDF Edition 📌 Extracted September 2026 https://medustudy.com/product/uworld-abim-qbank-2026-pdf/ 💻 UWorld ABIM Internal Medicine QBank 2026 – Offline HTML Edition https://medustudy.com/product/uworld-abim-qbank-2026-offline-html/ 📖 UWorld Medical Library 2026 – Offline HTML Edition https://medu…

6 Sept 2026, 17:10 UTC≈3,970 viewsread 4 November 2026
Forwarded from @medustudy_shop

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4 Sept 2026, 17:46 UTC≈1,980 viewsread 4 November 2026
Forwarded from @medical_free_books

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30 Aug 2026, 17:00 UTC≈1,570 viewsread 4 November 2026
Forwarded from @medical_free_books

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22 Aug 2026, 14:57 UTC≈4,620 viewsread 4 November 2026
Forwarded from @medustudy_shopPhoto

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20 Aug 2026, 16:59 UTC≈1,770 viewsread 4 November 2026
Forwarded from @medical_free_books

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Showing the 12 most recent of 34 posts we hold for @Sketchypharma. 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

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.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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.

PATHOMA VIDEOS
@pathomaavideos · 141,791
Telegram ranks this channel #7 of 56 here — alongside 55 others — read 10 September 2026
Pharmacology USMLE books and videos 2026
@Usmle_pharma · 20,525
Telegram ranks this channel #15 of 64 here — alongside 63 others — read 26 September 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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Sketchy Pharma” (@Sketchypharma), 7,360 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/Sketchypharma.

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.