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Telegram profile photo for 四川省🐯成都市🐯绵阳市|广元市|达州市|南充市|德阳市|广安市|阿坝州|巴中市|遂宁市|内江市|凉山州|攀枝花市|乐山市|自贡市|泸州市|雅安市|宜宾市|资阳市|眉山市|甘孜州

Supergroup

四川省🐯成都市🐯绵阳市|广元市|达州市|南充市|德阳市|广安市|阿坝州|巴中市|遂宁市|内江市|凉山州|攀枝花市|乐山市|自贡市|泸州市|雅安市|宜宾市|资阳市|眉山市|甘孜州

@fangq5

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

2,962members

+1,011 since we began measuring on 6 August 2026

40 online right now

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001353915457
TypeSupergroup
Username@fangq5
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 September 2026
Last confirmed live29 October 2026
Measurements held22
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/fangq5

Topic

Local community — 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 16 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

1,9512,9622,456.56 August 2026 — 1,951 members7 August 2026 — 1,979 members10 August 2026 — 2,007 members14 August 2026 — 2,052 members17 August 2026 — 2,113 members20 August 2026 — 2,163 members24 August 2026 — 2,216 members27 August 2026 — 2,229 members31 August 2026 — 2,242 members2 September 2026 — 2,265 members8 September 2026 — 2,355 members12 September 2026 — 2,416 members16 September 2026 — 2,442 members16 September 2026 — 2,442 members1 October 2026 — 2,694 members7 October 2026 — 2,796 members13 October 2026 — 2,869 members17 October 2026 — 2,897 members20 October 2026 — 2,906 members23 October 2026 — 2,925 members26 October 2026 — 2,953 members29 October 2026 — 2,962 members6 August 202629 October 2026
22 measurements spanning 84 days, net +1,011. 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 1,799–3,114 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 22
Measured (UTC)MembersChange
29 Oct 2026, 18:312,962+9
26 Oct 2026, 11:302,953+28
23 Oct 2026, 01:562,925+19
20 Oct 2026, 07:592,906+9
17 Oct 2026, 01:402,897+28
13 Oct 2026, 17:002,869+73
7 Oct 2026, 20:562,796+102
1 Oct 2026, 10:552,694+252
16 Sept 2026, 14:072,442no change
16 Sept 2026, 04:592,442+26
12 Sept 2026, 11:192,416+61
8 Sept 2026, 05:002,355+90
2 Sept 2026, 18:162,265+23
31 Aug 2026, 02:522,242+13
27 Aug 2026, 18:562,229+13
24 Aug 2026, 09:322,216+53
20 Aug 2026, 14:422,163+50
17 Aug 2026, 11:592,113+61
14 Aug 2026, 10:192,052+45
10 Aug 2026, 16:232,007first 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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“四川省🐯成都市🐯绵阳市|广元市|达州市|南充市|德阳市|广安市|阿坝州|巴中市|遂宁市|内江市|凉山州|攀枝花市|乐山市|自贡市|泸州市|雅安市|宜宾市|资阳市|眉山市|甘孜州” (@fangq5), 2,962 members as measured 29 October 2026. Telegram Register, tgregister.com/channel/fangq5.

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.