As many as one quarter of all credit reports contain errors — your lender won't
know an error until you disprove it.
Not exact matches
I
know well whereof Peter Kreeft speaks, and in fact have a rather guilty conscience about purveying some of the
errors of the Received Wisdom myself from time to time
until my further reading informed me how deceived I (and my hapless students) had been.
Anyone who formula feeds,
knows it can be trial and
error until you find a formula that agrees with your baby, and I'm so happy I stumbled across this one.
I see my
error NOW and I even have an idea for how to fix it but I won't
know how well the fix works
until next time students do a similar assignment.
It's really not terribly easy to be the last persons to work on an eBook, and to
know that any
errors you leave behind or accidentally create will be there for millions of readers in the world
until, hopefully, the next
error checker finds and corrects them.
Everything works as advertised
until I get to «choose zip file from sd card» I do nt
know which one to use and the ones that I tried get an
error and abort.
«We
knew that we wanted to have nutrition provided by all whole - food ingredients, rather than supplements, so there was a period of trial and
error until we found the right balance of ingredients.»
How do we
know that it was the anthropogenics (commonly referred to as CO2 & the subject of the political Kyoto decision) that resulted in the closer estimation and not some competing / compensating
errors in the natural model that do not show up
until the 1970 - 2000 etc temp rises?
I'm no climate scientist, but I
know models in all fields are based on clusters of formulae, and these formulae are often derived from real world data partly by trial and
error, and adjusting terms
until they can reliably predict past and future data.
I
know Richard Lindzen's track - record so I trust what he says unless and
until shown he has made an
error.
In aircraft design a model's outputs are compared and recompared to observed conditions
until it is
known (or at least believed) that the model is providing outputs for a specific characteristic (s) within a
known margin of
error.
If a measurement
error of this severity has escaped notice up
until now, how do we
know that there are not other undiscovered
errors of similar or greater import?
So, over the years through a bit of trial and
error I now
know what «enough» and «
until it looks right» means, and so do my children.
It is often especially difficult to figure out when the «limitation period» is in medical malpractice cases, since often you couldn't have
known of a healthcare professional's
error until well after it occurred.