Saturday, May 03, 2014

Some quotes about statistics or from statisticians

I often see people cite interesting quotes in their presentation. Citing a good quote can entice the audience. I recently saw a presentation with the following quote about the statistics in dealing with uncertainties:
One way of defining statistics is…
The science of quantifying uncertainty, dealing with uncertainty, and making decisions in the face of uncertainty…
…and drug development is a series of decisions under huge uncertainty.
There is a website that lists the famous quotes from Statisticians or about Statisticians

Here are some quotes with top ranking:  

All models are wrong, but some are useful. (George E. P. Box)

An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem. (John Tukey)

To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. (Ronald Fisher (1938))

Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital. (Aaron Levenstein)

Statisticians, like artists, have the bad habit of falling in love with their models. (George Box)

I think it is much more interesting to live with uncertainty than to live with answers that might be wrong. (Richard Feynman)

If you torture the data enough, nature will always confess. (Ronald Coase)

Absence of evidence is not evidence of absence. (Carl Sagan)

It's easy to lie with statistics; it is easier to lie without them. (Frederick Mosteller)
Then there is a following cartoon::


2 comments:

Cristina Ghenoiu said...

Dear Dr. Deng, I wanted to get in touch with you but don't know how. I am trying to understand how is it that if you enroll a cancer trial sloooowwwly, then you can "artificially" separate the survival curves. Is this something that people do often on purpose?
Thank you very much

Cristina Ghenoiu said...

Dear Dr. Deng,
I have been trying to contact you but I don't know how. I wanted to know if you can help me understand something I heard the other day. Is it true that you can artificially separate survival curves in a cancer trial if you slooowwly enroll patients?
Do people do that on purpose?
Thank you very much!