Here's "SF politics suck" in a nutshell: @LondonBreed and this article are trying to imply that Walgreens is pulling a fast one by closing stores and blaming shoplifting, rather than admitting that it's normal corporate decision-makinghttps://www.sfchronicle.com/sf/article/Is-shoplifting-forcing-Walgreens-to-cut-back-in-16536960.php …
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And so people being able to say "well look at the Walgreens closures! Boudin caused that!". And for whatever reason
@sfchronicle is backing up this spin with data that it literally admits is faulty in the 2nd paragraphShow this thread -
Meanwhile if you have ever been to the Walgreens at 300 Gough, you would have seem it transform from a normal store to a store with half the shelves empty and the other half lined with locked plexiglass, so that you have to push a call button for every single item you want to buy
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That fact is (conveniently?) left out of the story. So
@LondonBreed is trying to claim that Walgreens decided to transform one of its stores into a plexiglass nightmare for a year before closing it so it could falsely claim it was due to shoplifting. That's the logic
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Why can't politicians just be like "look, we are trying to shake up the social contract here. These people are disenfranchised & treated awful, and we arent going to prosecute it but rather prosecute the people who've treated them awful. If that means no Walgreens, so be it"
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And that's totally fine and honest, and even something I'm aligned with. I just can't stand the dishonesty and lying with data going on here. And it's across the board.
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I should have added
@DeanPreston to this thread. Surely he's noticed the changes to the retail experience at 300 Gough. Why then say this? Did this Walgreens just choose to put up "friction" for customer purchases just to later justify closing down due to bad sales?pic.twitter.com/QZj52JhIHI
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You don't need internal Walgreens sales data for this, and I say this as literally a PhD data professional. Question the timing etc all you want, but you don't have to gaslight. Let's leave that to the right. And do better
@sfchronicle, at the very least with headlinesShow this thread
End of conversation
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Formerly Data Science PM