A Quote by Donovan McNabb

My numbers speak for itself. — © Donovan McNabb
My numbers speak for itself.
I let my numbers speak for themselves. I really do. I mean, all of these one-cut runners, you put their numbers up against mine, they're not even close.
Poetry must speak of others, in order to speak for the poet's imagination, in order to speak of itself; it is slowed down by poetics after its flight is over.
I am no poet. I do not love words for the sake of words. I love words for what they can accomplish. Similarly, I am no arithmetician. Numbers that speak only of numbers are of little interest to me.
Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully.
I think my numbers speak for themselves.
That's all baseball is, is numbers; it's run by numbers, averages, percentage and odds. Managers make their decisions based on the numbers.
I put up O.K. numbers - not Bugs Bunny-style numbers like some other guys - but O.K. numbers.
I dream in numbers, and I like to look up the meaning of numbers, and numbers stick out to me.
Looking at numbers as groups of rocks may seem unusual, but actually it's as old as math itself. The word "calculate" reflects that legacy - it comes from the Latin word calculus, meaning a pebble used for counting. To enjoy working with numbers you don't have to be Einstein (German for "one stone"), but it might help to have rocks in your head.
Serious numbers will speak to us always.
We live in a digital world where all is available at the touch of a screen. Money has been simplified, changed subtly over time from tangible bills to numbers in cyberspace. Cash is no longer in a cloth bag; it's numbers on a screen. Numbers that can be manipulated and modified. If you run out of numbers, you can just buy some more, right?
Ballet will speak for itself. About itself.
Round numbers beg to be negotiated, usually by counteroffer round numbers. Odd numbers sound harder, firmer, less negotiable.
I think that I can speak in front of the camera. I think my fighting ability can speak for itself as well.
The problem of distinguishing prime numbers from composite numbers and of resolving the latter into their prime factors is known to be one of the most important and useful in arithmetic. It has engaged the industry and wisdom of ancient and modern geometers to such an extent that it would be superfluous to discuss the problem at length. ... Further, the dignity of the science itself seems to require that every possible means be explored for the solution of a problem so elegant and so celebrated.
Numbers can't speak for themselves, and data sets - no matter their scale - are still objects of human design.
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