"The second problem, and the one that in my opinion I’ve let down my readers the most by not catching, is that the table is completely false."
There is a big difference between "unsupported by hard data" and "completely false", especially when the author later admits to not being willing to pay to see the first paper cited in support.
It also seems, (from this post: http://lesswrong.com/lw/9sv/diseased_disciplines_the_strange...) that in fact the first line is supported by data, if only in aggregate. The author of that blog posts makes much of the phrase "this study didn't accurately record" while glossing over the next part of the sentence that states "so we will use average rates summarized from several other studies." It is common practice to aggregate data, and provided it is done properly, the aggregation can reduce error, not increase it.
The claim that "a bug introduced in Requirements, costs more to fix the later it is discovered" is claimed to be supported by data. Well done for demanding to see that data. But epic fail for creating controversy by claiming that the opposite is true.
There is a big difference between "unsupported by hard data" and "completely false", especially when the author later admits to not being willing to pay to see the first paper cited in support.
It also seems, (from this post: http://lesswrong.com/lw/9sv/diseased_disciplines_the_strange...) that in fact the first line is supported by data, if only in aggregate. The author of that blog posts makes much of the phrase "this study didn't accurately record" while glossing over the next part of the sentence that states "so we will use average rates summarized from several other studies." It is common practice to aggregate data, and provided it is done properly, the aggregation can reduce error, not increase it.
The claim that "a bug introduced in Requirements, costs more to fix the later it is discovered" is claimed to be supported by data. Well done for demanding to see that data. But epic fail for creating controversy by claiming that the opposite is true.