Quote
Originally posted by: mrmarcus12LVA
If it was a tiger, it wouldn't matter whether you thought it was a tiger. Likewise, if it was the wind.
It doesn't matter which errors you tend to make.
It is a metaphorical example not intended to be taken literally. Of course it matters. All the research by evolutionary scientists, sociologists and psychologists points to Type I errors being less detrimental to your health, and Type II Errors being more serious and or fatal.
Are we going to go though this again where you contradict every scientists on the planet without the benefit of any scientific studies to back up your theories.
Here's a partial list of the people you are disputing that have done research on error types: Take it up with them.
* Betz, M.A. & Gabriel, K.R., "Type IV Errors and Analysis of Simple Effects", Journal of Educational Statistics, Vol.3, No.2, (Summer 1978), pp. 121–144.
* David, F.N., "A Power Function for Tests of Randomness in a Sequence of Alternatives", Biometrika, Vol.34, Nos.3/4, (December 1947), pp. 335–339.
* Fisher, R.A., The Design of Experiments, Oliver & Boyd (Edinburgh), 1935.
* Gambrill, W., "False Positives on Newborns' Disease Tests Worry Parents", Health Day, (5 June 2006). 34471.html
* Kaiser, H.F., "Directional Statistical Decisions", Psychological Review, Vol.67, No.3, (May 1960), pp. 160–167.
* Kimball, A.W., "Errors of the Third Kind in Statistical Consulting", Journal of the American Statistical Association, Vol.52, No.278, (June 1957), pp. 133–142.
* Lubin, A., "The Interpretation of Significant Interaction", Educational and Psychological Measurement, Vol.21, No.4, (Winter 1961), pp. 807–817.
* Marascuilo, L.A. & Levin, J.R., "Appropriate Post Hoc Comparisons for Interaction and nested Hypotheses in Analysis of Variance Designs: The Elimination of Type-IV Errors", American Educational Research Journal, Vol.7., No.3, (May 1970), pp. 397–421.
* Mitroff, I.I. & Featheringham, T.R., "On Systemic Problem Solving and the Error of the Third Kind", Behavioral Science, Vol.19, No.6, (November 1974), pp. 383–393.
* Mosteller, F., "A k-Sample Slippage Test for an Extreme Population", The Annals of Mathematical Statistics, Vol.19, No.1, (March 1948), pp. 58–65.
* Moulton, R.T., “Network Security”, Datamation, Vol.29, No.7, (July 1983), pp. 121–127.
* Raiffa, H., Decision Analysis: Introductory Lectures on Choices Under Uncertainty, Addison-Wesley, (Reading), 1968.
# ^ Shermer, Michael (2002). The Skeptic Encyclopedia of Pseudoscience 2 volume set. ABC-CLIO. p. 455. ISBN 1576076539. https://books.google.com/books?id=Gr4snwg7iaEC&pg=PA455&lpg=PA455&dq=type+ii+error+skepticism&source=bl&ots=bCBz8JJBTo&sig=FpB-13Igea9cS40ZZkP8CiAwxm8&hl=en&ei=3M4rTfq1EsWblgeK8oj_Cw&sa=X&oi=book_result&ct=result&resnum=5&ved=0CDQQ6AEwBA#v=onepage&q=type%20ii%20error%20skepticism&f=false. Retrieved January 10, 2011.
# ^ Shermer, Michael (2002). The Skeptic Encyclopedia of Pseudoscience 2 volume set. ABC-CLIO. p. 455. ISBN 1576076539. https://books.google.com/books?id=Gr4snwg7iaEC&pg=PA455&lpg=PA455&dq=type+ii+error+skepticism&source=bl&ots=bCBz8JJBTo&sig=FpB-13Igea9cS40ZZkP8CiAwxm8&hl=en&ei=3M4rTfq1EsWblgeK8oj_Cw&sa=X&oi=book_result&ct=result&resnum=5&ved=0CDQQ6AEwBA#v=onepage&q=type%20ii%20error%20skepticism&f=false. Retrieved January 10, 2011.
# ^ a b Neyman, J.; Pearson, E.S. (1967) [1928]. "On the Use and Interpretation of Certain Test Criteria for Purposes of Statistical Inference, Part I". Joint Statistical Papers. Cambridge University Press. pp. 1–66.
# ^ David, F.N. (1949). Probability Theory for Statistical Methods. Cambridge University Press. p. 28.
# ^ Pearson, E.S.; Neyman, J. (1967) [1930]. "On the Problem of Two Samples". Joint Statistical Papers. Cambridge University Press. p. 100.
# ^ a b c Neyman, J.; Pearson, E.S. (1967) [1933]. "The testing of statistical hypotheses in relation to probabilities a priori". Joint Statistical Papers. Cambridge University Press. pp. 186–202.
# ^ Fisher, R.A. (1966). The design of experiments. 8th edition. Hafner:Edinburgh.
# ^ Onwuegbuzie, A.J.; Daniel, L. G. (19 February 2003). "Typology of analytical and interpretational errors in quantitative and qualitative educational research". Current Issues in Education 6 (2). https://cie.ed.asu.edu/volume6/number2.
# ^ [3] P.J. Boxer 1994 Notes on Checkland's Soft Systems Methodology
# ^ Ian I. Mitroff and Abraham Silvers, Dirty rotten strategies: How We Trick Ourselves and Others into Solving the Wrong Problems Precisely, Stanford Business Press (2009), hardcover, 210 pages, ISBN 978-0-8047-5996-0
# ^ Williams, G.O. (1996). "Iris Recognition Technology". debut.cis.nctu.edu.tw. p. 56. https://debut.cis.nctu.edu.tw/~ching/Face/Articles/Biometric%20Identification/00551842.pdf. Retrieved 2010-05-23. "crossover error rate (that point where the probabilities of False Reject (Type I error) and False Accept (Type II error) are approximately equal) is .00076%"