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Telegram profile photo for 奶奶大妈阿姨老奶奶老女人反差婊

Channel

奶奶大妈阿姨老奶奶老女人反差婊

@juqinyanyifuli

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

15,030subscribers

+14,278 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003786764060
TypeChannel
Username@juqinyanyifuli
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live1 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/juqinyanyifuli

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 3 October 2026 and assigned it the closest of 31 fixed categories, at 94% 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

75215,0307,8917 August 2026 — 752 subscribers8 August 2026 — 755 subscribers16 August 2026 — 845 subscribers24 August 2026 — 938 subscribers30 August 2026 — 988 subscribers9 September 2026 — 1,077 subscribers12 September 2026 — 1,101 subscribers16 September 2026 — 1,122 subscribers1 October 2026 — 1,240 subscribers3 October 2026 — 1,240 subscribers8 October 2026 — 1,303 subscribers13 October 2026 — 1,357 subscribers16 October 2026 — 1,393 subscribers19 October 2026 — 8,984 subscribers22 October 2026 — 12,266 subscribers23 October 2026 — 12,374 subscribers24 October 2026 — 12,548 subscribers25 October 2026 — 12,761 subscribers26 October 2026 — 13,053 subscribers27 October 2026 — 13,345 subscribers28 October 2026 — 13,705 subscribers29 October 2026 — 14,062 subscribers30 October 2026 — 14,401 subscribers31 October 2026 — 14,689 subscribers1 November 2026 — 15,030 subscribers7 August 20261 November 2026
25 measurements spanning 86 days, net +14,278. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
1 Nov 2026, 12:0515,030+341
31 Oct 2026, 10:3614,689+288
30 Oct 2026, 13:1514,401+339
29 Oct 2026, 14:5114,062+357
28 Oct 2026, 14:1413,705+360
27 Oct 2026, 10:5013,345+292
26 Oct 2026, 11:4813,053+292
25 Oct 2026, 14:2812,761+213
24 Oct 2026, 15:2112,548+174
23 Oct 2026, 16:3012,374+108
22 Oct 2026, 19:3712,266+3,282
19 Oct 2026, 10:488,984+7,591
16 Oct 2026, 15:051,393+36
13 Oct 2026, 17:481,357+54
8 Oct 2026, 01:571,303+63
3 Oct 2026, 04:291,240no change
1 Oct 2026, 16:021,240+118
16 Sept 2026, 03:171,122+21
12 Sept 2026, 14:591,101+24
9 Sept 2026, 00:001,077first 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 1 November 2026 — this entry's latest reading, not the date you are reading this.

“奶奶大妈阿姨老奶奶老女人反差婊” (@juqinyanyifuli), 15,030 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/juqinyanyifuli.

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.