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Telegram profile photo for #FraudPrevention

Channel

#FraudPrevention

@forensiciFraudPrevention

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

1,104subscribers

-9 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001163169874
TypeChannel
Username@forensiciFraudPrevention
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 October 2026
Last confirmed live1 November 2026
Measurements held14
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/forensiciFraudPrevention

Topic

Hacking & security — 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 6 October 2026 and assigned it the closest of 31 fixed categories, at 52% 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

1,1021,1151,108.57 August 2026 — 1,113 subscribers11 August 2026 — 1,114 subscribers17 August 2026 — 1,113 subscribers20 August 2026 — 1,112 subscribers24 August 2026 — 1,115 subscribers27 August 2026 — 1,113 subscribers3 September 2026 — 1,114 subscribers12 September 2026 — 1,113 subscribers16 September 2026 — 1,107 subscribers30 September 2026 — 1,105 subscribers6 October 2026 — 1,105 subscribers26 October 2026 — 1,103 subscribers29 October 2026 — 1,102 subscribers1 November 2026 — 1,104 subscribers1,1047 August 20261 November 2026
14 measurements spanning 85 days, net -9. 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 1,100–1,117 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Nov 2026, 06:201,104+2
29 Oct 2026, 10:151,102-1
26 Oct 2026, 00:251,103-2
6 Oct 2026, 18:371,105no change
30 Sept 2026, 04:361,105-2
16 Sept 2026, 02:401,107-6
12 Sept 2026, 09:171,113-1
3 Sept 2026, 00:371,114+1
27 Aug 2026, 14:541,113-2
24 Aug 2026, 16:131,115+3
20 Aug 2026, 15:161,112-1
17 Aug 2026, 16:341,113-1
11 Aug 2026, 06:111,114+1
7 Aug 2026, 21:091,113first 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.

“#FraudPrevention” (@forensiciFraudPrevention), 1,104 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/forensiciFraudPrevention.

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.