Briefly
- From the Herald last week, via Aaron Schiff, why you may regret giving your kid a cool name. From Eric Crampton, the last time this story came around, what it means
- Beautiful weather maps from Ventusky, via Jenny Bryan
- From BusinessInsider: 90% of executive board members think the ideal proportion of women on boards is higher than the current 20%, but the majority think it should still be 40% or less.
- The Ministry for Social Development is collecting more data on people who use government-support community services. On one hand, they’re less likely to misuse it than a lot of internet companies; on the other hand, it might well deter people from seeking help. And while the Ministry is getting written consent, the people obtaining it won’t get paid by the Ministry if consent isn’t given.
- If you only read one summary of the state of the US elections, the 538 update is a relatively painless and informative one.
- People might be worrying too much about hackers (techy)
Moreover, we find that cyber incidents cost firms only a 0.4% of their annual revenues, much lower than retail shrinkage (1.3%), online fraud (0.9%), and overall rates of corruption, financial misstatements, and billing fraud (5%).
Machine learning is like a deep-fat fryer. First time you try it you think “Amazing, I bet this will work on anything!” And it kind of does
— Pinboard (@Pinboard) July 7, 2016
“Kind of” being an important qualifier here.
Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »
In Machine Learning the best set of features isn’t usually the set of best features.
Same with boards. The best board isn’t usually the set of best individuals for the job. So the statement “there aren’t enough good candidates” doesn’t necessarily hold.
The gains from the extra diversity can more than make up for using candidates that aren’t as good as what you might want.
Companies make the same mistake when they hire people based on “cultural fit.” They miss out on the benefits of diversity because they end up hiring people all the same.
8 years ago
After seeing a video about this boy,
http://www.dailymail.co.uk/news/article-2395440/A-Level-results-Student-7-A-s-heads-Stanford-REJECTED-Oxford-University.html
It think it’s more of a case of accent rather than name.
8 years ago