* The overtime scandal; TLDR for years there has been a culture of falsifying overtime often in multiple excess of base salary
* A recruit was beaten to death in an alleged hazing incident
* Accepting bribes to pass CDL inspections
* Drug labs faking results, 21k convictions overturned... years later
* The Karen Read drama, which is just embarrassing regardless of who's the murderer
It's honestly kind of hard to find refs for some of the specific incidents I'm thinking of, because the search results are masked by other similar incidents! Just for starters,https://www.nbcnews.com/news/us-news/epic-drug-lab-scandal-r...
https://www.wcvb.com/article/recent-massachusetts-state-poli...
https://www.wcvb.com/article/massachusetts-state-police-trai...
https://en.wikipedia.org/wiki/Massachusetts_State_Police#Con...
https://howiecarrshow.com/onetime-head-of-state-police-has-a...
Needless to say MIT police officers look up to and emulate Chief DiFava:
Joseph D’Amelio had arrested a student for protesting, twice - long before Trump: https://mailman.mit.edu/pipermail/mitai-announce/2004-August...
but turned up to be a gangster drug dealer himself: https://www.campussafetymagazine.com/news/former-mit-police-...
Duane Keegan had also arrested two MIT student hakers and tried to cover up for his drug dealer buddy D'Amelio. He was fired and quietly rehired and is now implicated in the witness intimidation case of the two whistleblowers mentioned below: https://thetech.com/2009/05/08/keegan-v129-n25
Both men are highly educated and had no prior records which is why they've been able to fight their cases. one is a Yale/Harvard mathematician and actually worked for the Lincoln & Draper Labs where he alleges Epstein was funding the lie-detector cheating research. The other had been a research fellow with MIT Energy Initiative and was at the Media Lab when Epstein was funding them.
So judge for yourself...
I'm sure (?) they had some better angle on it than this, but I'm laughing here imagining some poor, incredibly bored researchers going "did lie detectors actually work this time, despite not working in the prior 1,000 studies we ran? Let me check... nope, sure didn't! Oh well, we'll start the next study tomorrow, I wonder what the outcome will be..."