Channel
Pearson Vue NCLEX and NP Review RN, PN, LVN Exams...👩⚕🧑⚕👨⚕
@Nclex_NP_reviews_RN_LPN
On this record: Topic · Growth · Engagement · Telegram's recommendations · Cite this entry
6,403subscribers
-300 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001615587584 |
|---|---|
| Type | Channel |
| Username | @Nclex_NP_reviews_RN_LPN |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/Nclex_NP_reviews_RN_LPN |
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 99% 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 |
|---|---|---|
| 23 Oct 2026, 04:57 | 6,403 | -7 |
| 20 Oct 2026, 06:00 | 6,410 | +2 |
| 17 Oct 2026, 09:00 | 6,408 | -9 |
| 13 Oct 2026, 22:46 | 6,417 | -21 |
| 8 Oct 2026, 09:59 | 6,438 | -11 |
| 2 Oct 2026, 08:00 | 6,449 | -11 |
| 16 Sept 2026, 08:59 | 6,460 | +1 |
| 12 Sept 2026, 23:58 | 6,459 | -6 |
| 9 Sept 2026, 00:01 | 6,465 | -6 |
| 3 Sept 2026, 09:13 | 6,471 | -44 |
| 30 Aug 2026, 21:34 | 6,515 | -7 |
| 28 Aug 2026, 12:00 | 6,522 | no change |
| 27 Aug 2026, 21:32 | 6,522 | -16 |
| 24 Aug 2026, 18:48 | 6,538 | -3 |
| 20 Aug 2026, 19:52 | 6,541 | -8 |
| 17 Aug 2026, 15:26 | 6,549 | -51 |
| 14 Aug 2026, 18:49 | 6,600 | -50 |
| 10 Aug 2026, 22:34 | 6,650 | -53 |
| 7 Aug 2026, 22:34 | 6,703 | 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 Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.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.
@nursingbooksandnotes · 20,595
Telegram ranks this channel #29 of 62 here — alongside 61 others — read 28 September 2026
@nursingnoteshub · 19,945
Telegram ranks this channel #68 of 75 here — alongside 74 others — read 30 September 2026
@medicotrick · 20,879
Telegram ranks this channel #68 of 72 here — alongside 71 others — read 27 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 23 October 2026 — this entry's latest reading, not the date you are reading this.
“Pearson Vue NCLEX and NP Review RN, PN, LVN Exams...👩⚕🧑⚕👨⚕” (@Nclex_NP_reviews_RN_LPN), 6,403 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/Nclex_NP_reviews_RN_LPN.
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.