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Telegram profile photo for 麻豆反差Swag🔞

Supergroup

麻豆反差Swag🔞

@sucai12669

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

8,230members

-1,099 since we began measuring on 7 August 2026

153 online right now

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002244941769
TypeSupergroup
Username@sucai12669
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 August 2026
Last confirmed live3 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/sucai12669

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 11 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

8,2309,3298,779.57 August 2026 — 9,329 members8 August 2026 — 9,308 members11 August 2026 — 9,259 members14 August 2026 — 9,212 members17 August 2026 — 9,173 members20 August 2026 — 9,144 members23 August 2026 — 9,098 members23 August 2026 — 9,098 members26 August 2026 — 9,060 members29 August 2026 — 9,036 members1 September 2026 — 9,000 members6 September 2026 — 8,918 members11 September 2026 — 8,845 members14 September 2026 — 8,788 members18 September 2026 — 8,752 members27 September 2026 — 8,643 members5 October 2026 — 8,548 members12 October 2026 — 8,459 members15 October 2026 — 8,433 members18 October 2026 — 8,385 members22 October 2026 — 8,362 members25 October 2026 — 8,323 members28 October 2026 — 8,278 members30 October 2026 — 8,252 members3 November 2026 — 8,230 members7 August 20263 November 2026
25 measurements spanning 87 days, net -1,099. 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 8,065–9,494 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 25
Measured (UTC)MembersChange
3 Nov 2026, 00:188,230-22
30 Oct 2026, 23:478,252-26
28 Oct 2026, 07:388,278-45
25 Oct 2026, 01:318,323-39
22 Oct 2026, 04:288,362-23
18 Oct 2026, 15:468,385-48
15 Oct 2026, 13:288,433-26
12 Oct 2026, 14:168,459-89
5 Oct 2026, 18:578,548-95
27 Sept 2026, 22:188,643-109
18 Sept 2026, 19:578,752-36
14 Sept 2026, 11:198,788-57
11 Sept 2026, 03:208,845-73
6 Sept 2026, 01:588,918-82
1 Sept 2026, 17:169,000-36
29 Aug 2026, 16:559,036-24
26 Aug 2026, 22:339,060-38
23 Aug 2026, 22:029,098no change
23 Aug 2026, 21:139,098-46
20 Aug 2026, 07:289,144first reading

Engagement

No public post preview. We read this entry on 24 August 2026 and Telegram serves no public post stream for it — the channel has previews switched off, or it is a group or bot with no readable feed. Views, reactions and engagement rates cannot be measured from the outside for an entry in this state, so we publish none. Subscriber counts above are unaffected.

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

“麻豆反差Swag🔞” (@sucai12669), 8,230 members as measured 3 November 2026. Telegram Register, tgregister.com/channel/sucai12669.

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.