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Telegram profile photo for 抖音/快手/三级片/幼萝/猎奇/白虎

Channel

抖音/快手/三级片/幼萝/猎奇/白虎

@tianxia5

On this record: Topic · Growth · Engagement · Cite this entry

4,158subscribers

-232 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-1001446158162
TypeChannel
Username@tianxia5
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 September 2026
Last confirmed live8 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/tianxia5

Topic

Adult — 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 89% 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

4,1584,3904,2747 August 2026 — 4,390 subscribers7 August 2026 — 4,388 subscribers9 August 2026 — 4,385 subscribers12 August 2026 — 4,375 subscribers16 August 2026 — 4,361 subscribers19 August 2026 — 4,354 subscribers22 August 2026 — 4,348 subscribers25 August 2026 — 4,339 subscribers28 August 2026 — 4,336 subscribers31 August 2026 — 4,319 subscribers3 September 2026 — 4,319 subscribers4 September 2026 — 4,309 subscribers9 September 2026 — 4,333 subscribers13 September 2026 — 4,316 subscribers17 September 2026 — 4,310 subscribers25 September 2026 — 4,287 subscribers5 October 2026 — 4,256 subscribers10 October 2026 — 4,243 subscribers14 October 2026 — 4,225 subscribers17 October 2026 — 4,219 subscribers20 October 2026 — 4,208 subscribers23 October 2026 — 4,203 subscribers26 October 2026 — 4,195 subscribers29 October 2026 — 4,183 subscribers1 November 2026 — 4,173 subscribers5 November 2026 — 4,162 subscribers8 November 2026 — 4,158 subscribers7 August 20268 November 2026
27 measurements spanning 93 days, net -232. 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 4,123–4,425 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Nov 2026, 10:204,158-4
5 Nov 2026, 00:004,162-11
1 Nov 2026, 13:464,173-10
29 Oct 2026, 02:574,183-12
26 Oct 2026, 11:494,195-8
23 Oct 2026, 07:464,203-5
20 Oct 2026, 16:344,208-11
17 Oct 2026, 22:394,219-6
14 Oct 2026, 14:174,225-18
10 Oct 2026, 17:594,243-13
5 Oct 2026, 00:574,256-31
25 Sept 2026, 17:394,287-23
17 Sept 2026, 06:174,310-6
13 Sept 2026, 05:564,316-17
9 Sept 2026, 01:564,333+24
4 Sept 2026, 00:374,309-10
3 Sept 2026, 23:364,319no change
31 Aug 2026, 14:024,319-17
28 Aug 2026, 12:434,336-3
25 Aug 2026, 03:584,339first 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.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“抖音/快手/三级片/幼萝/猎奇/白虎” (@tianxia5), 4,158 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/tianxia5.

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.