Channel
@dermatology_step2
On this record: Topic · Growth · Engagement · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
4,222subscribers
+9 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001268244204 |
|---|---|
| Type | Channel |
| Username | @dermatology_step2 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/dermatology_step2 |
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 13 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 01:40 | 4,222 | +7 |
| 12 Sept 2026, 17:36 | 4,215 | -1 |
| 8 Sept 2026, 23:16 | 4,216 | +5 |
| 3 Sept 2026, 16:15 | 4,211 | -1 |
| 31 Aug 2026, 03:07 | 4,212 | -4 |
| 27 Aug 2026, 17:37 | 4,216 | +3 |
| 26 Aug 2026, 18:45 | 4,213 | no change |
| 26 Aug 2026, 18:30 | 4,213 | first reading |
20 posts held, back to 16 April 2023 — 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.
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 25 August 2026 |
|---|---|
| Posts held | 20 (16 April 2023 – 25 August 2026) |
| Views total | 58 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 18:45 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.
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Channel name was changed to «Dermatology step 2 collections 2026»
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A 44-year-old woman comes to the office with muscle weakness over the past several months. She has difficulty combing her hair and, occasionally, difficulty holding up her head, particularly after prolonged sitting or standing. The patient has had no difficulty \'talking or getting up from a chair. She has also had 2 episodes of double vision while driving home from work. The patient takes rosuvastatin for hyperlipid…
Educational objective: Individuals with features of myasthenia gravis ( eg, fluctuating and fatigable ocularfbulbar weakness) should undergo confirmatory testing with acetylcholine receptor antibodies, which are highly specific. Those with an established diagnosis should subsequently undergo chest imaging (eg, CT scan, MRI) to evaluate for thymoma and for possible surgical planning, as thymectomy is associated with J…
Which of the following is the most appropriate next step in evaluation of this patient?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
A 31-year-old woman comes to the office due to vision disturbances. The patient is a software developer and works on a computer most of the time. She first noticed blurry vision 2 months ago. Since then, she has had several episodes of blurry and double vision, especially toward the end of the workday. Two days ago, she experienced neck discomfort and had difficulty holding her head up, which resolved after a night's…
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Showing the 12 most recent of 20 posts we hold for @dermatology_step2. 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.
The 3 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 of the following is the most appropriate next step in evaluation of this patient?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which of the following is the most appropriate immediate next step in this patient's pain management?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Which of the following is the most likely diagnosis?
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 20 most recent posts we hold, published 16 April 2023 to 25 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Dermatology step 2 collections 2026” (@dermatology_step2), 4,222 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dermatology_step2.
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.