View Single Post
  #50 (permalink)  
Old 05-July-2008, 03:19 AM
Chris Hillman Chris Hillman is offline
Established Member
 
Join Date: Apr 2008
Posts: 353
Arrow Department of Deceased Equines, Scourging Squad

Mark Chu-Carroll, who works at Google, comments at his blog:

Quote:
Originally Posted by Mark Chu-Carroll
There's a tiny grain of truth to the article. Massive quantities of data and the tools to analyze that data do change science... But the idea that massive scale data collection and computing renders the scientific method obsolete? That we no longer need models, or theories, or experiments? That's blatant silliness.
So far, pretty much what we've all being saying. But he adds that Andersen has badly misunderstood what has made Google so successful:

Quote:
Originally Posted by Mark Chu-Carroll
Mr. Andersen mentions Google, and the fact that we don't know why our search algorithms produce particular results for a particular query. That's absolutely true. Do a search for a particular set of keywords, and we can't, without a lot of work, figure out just why our algorithms produced that result. That doesn't mean that we don't understand our search. Each component of the search process is well understood and motivated by some real theory of how to discover information from links. The general process is well understood; the specific results are a black box. Mr. Anderson is confusing the fact that we don't know what the result will be for a particular query with the idea that we don't know why our system works well.
Edit: and from Sean Carroll, we have this blog post
__________________
Chris Hillman

Read these PF posts. Avoid Wikipedia--- except for these versions. Read this and this suggested sticky. When asked for advice, I always say: never take advice!

Last edited by Chris Hillman; 05-July-2008 at 06:32 PM..
Reply With Quote