Channel
极品医院偷拍|阴道检查|医院打针|医院上药|护士偷拍
@doukafuliji
On this record: Topic · Growth · Engagement · Citations · Cite this entry
10,788subscribers
-6,273 since we began measuring on 30 September 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1004349625671 |
|---|---|
| Type | Channel |
| Username | @doukafuliji |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 30 September 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/doukafuliji |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 14 October 2026 and assigned it the closest of 31 fixed categories, at 91% 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 |
|---|---|---|
| 2 Nov 2026, 00:39 | 10,788 | -147 |
| 1 Nov 2026, 03:38 | 10,935 | -90 |
| 31 Oct 2026, 01:29 | 11,025 | -207 |
| 30 Oct 2026, 00:29 | 11,232 | -120 |
| 28 Oct 2026, 23:37 | 11,352 | -192 |
| 28 Oct 2026, 01:29 | 11,544 | -144 |
| 27 Oct 2026, 00:31 | 11,688 | -211 |
| 26 Oct 2026, 01:20 | 11,899 | -122 |
| 25 Oct 2026, 02:55 | 12,021 | -139 |
| 24 Oct 2026, 01:08 | 12,160 | -192 |
| 23 Oct 2026, 02:57 | 12,352 | -235 |
| 21 Oct 2026, 23:27 | 12,587 | -302 |
| 20 Oct 2026, 17:40 | 12,889 | -316 |
| 19 Oct 2026, 18:18 | 13,205 | -202 |
| 18 Oct 2026, 16:05 | 13,407 | -154 |
| 17 Oct 2026, 19:06 | 13,561 | -175 |
| 16 Oct 2026, 20:08 | 13,736 | -214 |
| 15 Oct 2026, 20:19 | 13,950 | -29 |
| 14 Oct 2026, 22:45 | 13,979 | -303 |
| 13 Oct 2026, 13:31 | 14,282 | 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 Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
“极品医院偷拍|阴道检查|医院打针|医院上药|护士偷拍” (@doukafuliji), 10,788 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/doukafuliji.
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.