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437 points Vinnl | 3 comments | | HN request time: 0.624s | source
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explodes ◴[] No.43984193[source]
Wouldn't it be nice if policy changes were accompanied by an A/B testing plan to evaluate their impact? I have always thought so. I have also seen a major pitfall of A/B testing that real humans can hand-pick and slice data to make it sound as positive or negative as wanted. Nonetheless, the more data the better.
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sc68cal ◴[] No.43985261[source]
We already had A/B testing of congestion pricing. The A test was without congestion pricing in NYC, and has been tested for decades.
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1. tonymet ◴[] No.43990138[source]
you haven't described the observations or the sample
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2. ericpauley ◴[] No.43990587[source]
TFA describes this extensively. The observations are traffic speed, bus timeliness, and over a dozen other metrics. The samples are sub-areas of NYC.
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3. tonymet ◴[] No.43991948[source]
Anything negative ?