Significant digits in a float?

[Grant Edwards]

On 2014-04-29, Roy Smith <roy at panix.com> wrote:
> In article <mailman.9575.1398789020.18130.python-list at python.org>,
>  Chris Angelico <rosuav at gmail.com> wrote:
>
>> On Tue, Apr 29, 2014 at 11:38 PM, Roy Smith <roy at panix.com> wrote:
>> > I'm trying to intuit, from the values I've been given, which coordinates
>> > are likely to be accurate to within a few miles.  I'm willing to accept
>> > a few false negatives.  If the number is float("38"), I'm willing to
>> > accept that it might actually be float("38.0000"), and I might be
>> > throwing out a good data point that I don't need to.
>> 
>> You have one chance in ten, repeatably, of losing a digit. That is,
>> roughly 10% of your four-decimal figures will appear to be
>> three-decimal, and 1% of them will appear to be two-decimal, and so
>> on. Is that "a few" false negatives?
>
> You're looking at it the wrong way.  It's not that the glass is 10% 
> empty, it's that it's 90% full, and 90% is a lot of good data :-)

If you know _which_ is the good data and which is the bad...

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