Plenty of analysis is based on data that isn't released. And do you have data that says otherwise? Why should we believe you?
See also:
- The dangerous "we're almost at full self-driving" myths Musk continues to spread (which is probably part of the reason Google didn't acquire them given that they've been ahead on the research of this and knew how BS that is)
- The battery swap lies that they made a huge announcement about in order to take advantage of a California subsidy and then simply... never actually allowed any Tesla owner to swap batteries
- Tesla lying to shareholders about warranty expense by categorizing it as "goodwill" in order to inflate their gross margin and net income (since at least Q2 2018)
- On top of the California battery swap stuff, they've been sued for subsidy fraud in multiple countries including Canada and Germany. Much of it's "profitability" has simply been selling regulatory credits to other OEMs
- Musk using Tesla to bail out his cousin's failing solar company SolarCity and not disclosing the personal connection to shareholders
NTSB did not sue Tesla.
That is appropriate in social situations, not in situations with significant consequences. If lives are at stake (or even lots of poeple's money), the burden of proof is on the person making the claim.
For example, that is true in the legal system, in science, and when you give a presentation to your boss. Saying 'you should believe me by default' doesn't go over well in those situations.
Most data we use is derived and processed data. Much of the data we use is a statistic.
And now we have data to show it :)