Respectfully, we don't know what information he's working with so declaring that he read it wrong is not really fair. We can certainly dislike the ideas and the outcomes, I've voiced as much a few times lately, but some of your conclusions are a bit unfair. Analytics aren't a bulletproof strategy, they provide advantages over a larger sample size. You might notice that at no point have I used one particular example, because that isn't a good way to approach it. A single decision, using analytics, could be wrong based on the decision maker and the circumstances. (Or just dumb luck) The benefit of an analytical approach is on the macro level.
To that end, the team HAS changed. Significantly. Three years ago (and again the last two years, their biggest mistakes) they went with uppercut swings, aggressive plate appearances, and minimal small ball. Driven by the data they had on launch angles and ball flight....they were right! 2019 they were a freaking launching pad that got thwarted by the small sample of the playoffs combined with MLB swapping out the baseballs on them. 2020 was largely the same positive result. The problem was that they were not flexible enough last year to realize that path was doomed. But this year they did. Their launch angles are down. Their plate appearances involve the most 1-0 counts in baseball and the league's highest OBP. (at least as of a few days ago) They have completely, radically changed their approach driven by the data and the new baseballs. (Not to mention the uptick in off speed pitches being thrown) So, frankly, you're wrong. They have quite obviously changed. They haven't just slightly altered the team's approach, it's like watching a completely different organization from 2020.
Analytics is about being data driven. That comes down to having good data and good analysts. When things go south it could be blamed on either of those things. When it goes well, it also gets credit. The key for any good team using data is to be smart and ahead of the curve on which data points they value and how they translate that into success. Shouting down "analytics" like some monolithic boogeyman misses the real nature of their use.