the time it takes for light to travel from los angeles to virginia is 12 - 16 ms, round trip is 30ms lets say - that is a noticeable delay, and it could be easily disproven that 80% of traffic is literally routed through VA
now.. could they just copy the traffic and send it to VA on a side channel? probably?
i used to work, 15 years ago, on a (permissive, not covert) monitoring service for a UK national public service, the NHS spine core. We used switches to mirror ports and capture traffic in promisciouse mode on a few dozen servers
split across a few datacentres that all the traffic went througg. We had certs installed to decode https. We could get enough hardware to do this step easily, but fast enough storage was an issue, we had 1 petabyte of usable storage across all sitesn that could hold a few days of content. We aimed to get this data filtered and forwarded into our central Splunk (seperate storage) and also into our bespoke dashboards within 60s. We often lagged...
There isnt a single identity. Theres a loose federation of databases (banks, CRAs, telecoms, electoral roll, etc.).
There are multiple operational definitions of "name": legal name, common name, known-as name, card name, account display name. None is universally canonical. Theres no statutory hierarchy that forces institutions to agree on precedence.
In the absence of a mandatory national ID, identification relies on matching across name, date of birth, and address history, which are inconsistently collected. Fuzziness is necessary for coverage, but it introduces brittleness. If a variant isnt explicitly linked as an alias, automated online checks can fail because the matching rules dont explore every permutation.
Even within a single dataset the problem doesnt disappear. Large systems such as the NHS have documented identification errors involving patients with identical names, twins at the same address, or demographic overlaps. Unique identifiers help, but operational workflows still depend on humans entering and reconciling imperfect data.
https://digital.nhs.uk/services/personal-demographics-servic...