That's me


A few good links and resources:


A few quotes I like a lot:
  • Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.
    [Antoine de Saint-Exupery]
  • There is time enough for everything in the course of the day, if you do but one thing at once, but there is not time enough in the year, if you will do two things at a time.
    [Lord Chesterfield]
  • I have never been hurt by what I have not said.
    [Calvin Coolidge]
  • You are remembered for the rules you break.
    [Douglas MacArthur]
  • Most researchers use statistics the way a drunkard uses a lamp-post -- more for support than illumination.
    [Winfred Castle]
  • Even a clock that does not work is right twice a day.
    [Polish proverb]
  • Losing an illusion makes you wiser than finding a truth.
    Ludwig Borne
  • You can't wake a person who is pretending to be asleep.
    [Navajo Proverb]
  • One day, someone showed me a glass of water that was half full. And he said, "Is it half full or half empty?" So I drank the water. No more problem.
    [Alexander Jodorowsky]
  • If a man will begin with certainties, he shall end in doubts, but if he will content to begin with doubts, he shall end in certainties.
    [Francis Bacon]
  • I do not suffer from insanity, I enjoy every minute of it.
    [Edgar Allan Poe]
  • It is better, of course, to know useless things than to know nothing.
    [Lucius Annaeus Seneca]
  • Not everything that can be counted counts, and not everything that counts can be counted.
    [Albert Einstein]
  • Fishing for hypotheses is like throwing a dart at a wall and then drawing a target around it.
    [Andree Monette]
  • All models are wrong but some are useful.
    [George E.P. Box]
  • There are no routine statistical question; only questionable statistical routines.
    [D.R. Cox]
  • It is much more important to be clear than to be correct.
    [Blair Wheaton]
  • Believe those who are seeking the truth. Doubt those who find it.
    [Andre Gide]
  • Is it more serious to convict an innocent man or to acquit a guilty? That will depend on the consequences of the error; is the punishment death or fine; what is the danger to the community of released criminals; what are the current ethical views on punishment? From the point of view of mathematical theory all that we can do is to show how the risk of errors can be controlled and minimized. The use of these statistical tools in any given case, in determining just how the balance should be struck, must be left to the investigator.
    [Neyman and Pearson]


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Copyrights: Tomek D Loboda 2008