He doesn't actually say what the positive correlation is, which I find disingenuous and suspicious. Because his scatterplot is so non-detailed, it's about as useful as the following scatterplot of SAT scores:
X|X
---
X|X
Where the axes are scores above and below 600 in math on the first and the second time taking the test. There are some individuals who do better or worse - but just because we can draw a detail-obfuscating graph of data doesn't mean there is no detail in the data, or no correlation, or that SAT scores won't help us predict future SAT scores. It just means we can draw a detail-obfuscating graph, and that there's not a perfect correlation.
One point the author does have is that these scores are not perfectly predictive, so bad performance one year shouldn't mean that the teacher gets i.e. fired. OK. He seems to be protesting using information to draw any conclusions at all. Perhaps it would be more effective to show what fallacious or irrational conclusions are being falsely drawn from this data and used to fire teachers, and then object to those specific instances of irrational actions. This value-added measure has not been shown to be intrinsically unreliable or wrongheaded but maybe some applications of it are.
X|X
---
X|X
Where the axes are scores above and below 600 in math on the first and the second time taking the test. There are some individuals who do better or worse - but just because we can draw a detail-obfuscating graph of data doesn't mean there is no detail in the data, or no correlation, or that SAT scores won't help us predict future SAT scores. It just means we can draw a detail-obfuscating graph, and that there's not a perfect correlation.
One point the author does have is that these scores are not perfectly predictive, so bad performance one year shouldn't mean that the teacher gets i.e. fired. OK. He seems to be protesting using information to draw any conclusions at all. Perhaps it would be more effective to show what fallacious or irrational conclusions are being falsely drawn from this data and used to fire teachers, and then object to those specific instances of irrational actions. This value-added measure has not been shown to be intrinsically unreliable or wrongheaded but maybe some applications of it are.