Simply stating that the mortality rate is less than 1% with no other context is almost Trumpian in it's ability to mis-lead.
To truly mislead, you'd need the media. Here's one I made earlier-
By Michelle Roberts Health editor, BBC News online
... The Recovery Trial, running since March, also looked at the malaria drug hydroxychloroquine, which has subsequently been ditched amid concerns it increases fatalities and heart problems.
Sooo.. was that the trial reported in the Lancet that had to be retracted after discovering some very dodgy data mining? Oh.. The 'Recovery' Trial-
FS : Could you please precise what dosage of HCQ you gave to the patient ? and the results ?
ML : It is 2400 mg in the first 24 hours and 800 mg from day 2 to day 10. It is an 10 day course of treatment in total. These are quite high doses to make sure that the blood levels got high enough to have a chance of killing the virus.
Which is... curious. Especially given-
Potential risks of treatment include prolongation of the QTc interval (especially in patients with preexisting cardiac disease or if coprescribed with azithromycin), hypoglycemia, neuropsychiatric effects, drug–drug interactions and idiosyncratic hypersensitivity reactions.
Sooo.. Design a trial that gives patients with pre-existing heart conditions & diabetes 4x the NICE recommended dose, then end the trial on 'safety grounds' to focus efforts on helping big pharma with their product development. Eventually Remdesivir might be found to work on... something.
But such is politics. One would have hoped the BBC's 'Health Editor' had been aware of the Lancet's problems, or even concerns about the dosage used in the 'Recovery' trial. Or perhaps even ask pointed questions, like if anyone's tried the hydroxychlorquine + zinc combo to see if it reduced infection rates.. Which is what the original claims suggested.
And Ferguson's model would still have been wrong given it used the wrong values for infection rates & mortality, amongst others. Meanwhile, the app isn't going to produce anything meaningful, but due to a combination of cabin fever & peaceful protesting, there'll be more opportunities to revise models based on the lock-down becoming unlocked.
And on a positive note.. Track & Trace apps could prove really useful to see who's violating curfews & unlawfully assembling. This is a Good Thing(tm)... isn't it? Big Data can soon monitor populations to 2m-ish resolution in near real-time. What could possibly go wrong?