27 Hamming, Learning to Learn: Unreliable Data, 26 May 1995
Channel: Hamming on Hamming: Learning to Learn
Date: 03/03/2018

It has been my experience, as well as many others who have looked; data is generally much less accurate than it is advertised to be. This is not a trivial point - we depend on initial data for many decisions, as well as for the input data for simulations which result in decisions. Since the errors are of so many kinds and I have no coherent theory to explain them all, I have therefore to resort to isolated examples and generalities from them.

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00:00 Admin Notes(Professor Ranking)
01:19 Unreliable Data 
01:58 Life testing(Technological Obsolescence)
05:23 There isn't time to do adequate life testing
05:52 How will you decide if this will last as long as its supposed to?
06:11 Life Testing group 
06:55 Bell Lab Example
08:25 Patterns and Telephone Calls
09:30 Inventory Study for Western Electric
11:09 AT&T Study
12:29 How good is basic scientific data?
14:08 Stop and think about how you actually do experiments in a lab?
15:20 90% of the next independent measurement will be outside the 90% confidence limits
16:16 You fit the data to a model
17:17 Example: Board of Director for a computer company 
21:22 Things are not what you think they are
22:32 Poverty Example
23:12 Time Series and Signal Analysis/Processing
24:33 Forms of economic predictors changes slowly 
24:34 Institutions like people hate change
26:01 Most economic data is gathered for some other purpose
29:47 It is better to take a small sample accurately done than a large sample poorly done
30:55 Unbiased surveys
33:33 Social Data
36:32 End