Channel
MD / DNB Psychiatry - Exam Papers + Notes
@jPsychiatrie
On this record: Topic · Growth · Engagement · Telegram's recommendations · Cite this entry
1,893subscribers
+28 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001771863681 |
|---|---|
| Type | Channel |
| Username | @jPsychiatrie |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 September 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/jPsychiatrie |
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 22 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 07:00 | 1,893 | +3 |
| 29 Oct 2026, 21:11 | 1,890 | +1 |
| 26 Oct 2026, 10:26 | 1,889 | +1 |
| 23 Oct 2026, 10:16 | 1,888 | +1 |
| 20 Oct 2026, 09:37 | 1,887 | -2 |
| 15 Oct 2026, 04:26 | 1,889 | +2 |
| 12 Oct 2026, 08:59 | 1,887 | -2 |
| 5 Oct 2026, 20:20 | 1,889 | +4 |
| 28 Sept 2026, 13:39 | 1,885 | +14 |
| 22 Sept 2026, 15:33 | 1,871 | no change |
| 18 Sept 2026, 18:18 | 1,871 | +3 |
| 14 Sept 2026, 10:00 | 1,868 | -1 |
| 10 Sept 2026, 22:39 | 1,869 | +6 |
| 5 Sept 2026, 20:00 | 1,863 | -3 |
| 26 Aug 2026, 20:29 | 1,866 | +1 |
| 26 Aug 2026, 18:30 | 1,865 | first reading |
Engagement
Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.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.
@jggl_tracks · 3
Telegram ranks this channel #9 of 21 here — alongside 20 others — read 31 August 2026
@psychiatry_vid · 23,175
Telegram ranks this channel #16 of 72 here — alongside 71 others — read 19 September 2026
@Physiology_videos · 71,398
Telegram ranks this channel #31 of 74 here — alongside 73 others — read 26 August 2026
@Obs_gynee · 25,630
Telegram ranks this channel #49 of 70 here — alongside 69 others — read 26 September 2026
@MedicineCurriculum · 24,529
Telegram ranks this channel #67 of 80 here — alongside 79 others — read 17 September 2026
This channel appears in 5 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“MD / DNB Psychiatry - Exam Papers + Notes” (@jPsychiatrie), 1,893 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/jPsychiatrie.
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.