So your argument is that stealing $10 ten times can’t be compared to stealing $100 once? That’s obviously nonsense.
You’ve still not addressed the fact you said wage theft is “groups [following] the laws of economics” but other theft is “individuals who commit a crime”. This is what you were being criticised for. Just so we’re absolutely clear: you separated theft into two distinct categories, one “following the laws of economics” (ie wage theft) and another “individuals who commit a crime” (ie other theft). This would mean wage theft is not committing a crime. You even literally put “crime” in scare quotes when referring to wage theft. This is what you are being criticised for. Nothing else. Not anything that you later brought up and nobody else commented on. Just that one view that you said, by yourself, unrelated to the data presented or the source of that data.
You downplayed wage theft as a crime.
Nobody’s talking about you asking for sources or commenting on specific aspects of the data because it’s not what people are pissed about. This is like if you draw a cock and balls on the Mona Lisa but when people yell at you you just refuse to acknowledge it and keep talking about your time in art school. Nobody cares about art school, it’s all about the cock and balls.
Not at all what I was saying, once again. I’m saying that, that fact needs to be explicitly stated, just like you did. But it isn’t here. That’s one problem.
Wage theft isn’t cut and dry and it isn’t specific at all. Here’s a definition: Wage theft occurs when employers do not pay workers according to the law. Examples of wage theft include paying less than minimum wage, not paying workers overtime, not allowing workers to take meal and rest breaks, requiring off the clock work, or taking workers’ tips.
Of the data related to wage theft and theft, I wanted a break down of what those very large definitions meant specifically here, so that we can be sure to account for everything on the table, and not round over stats into higher-level, more generalized categories.
There’s more trucks than cars on the road because businesses employee people for most of the day, most people have jobs, and there’s a high enough amount of jobs requiring driving trucks on the roads.
^ this is the logic train I’d like to follow for these stats. Not just “this wide category had wide results”
Which I will do when I have time to actually sit down and look at the stats/source.
So your argument is that stealing $10 ten times can’t be compared to stealing $100 once? That’s obviously nonsense.
You’ve still not addressed the fact you said wage theft is “groups [following] the laws of economics” but other theft is “individuals who commit a crime”. This is what you were being criticised for. Just so we’re absolutely clear: you separated theft into two distinct categories, one “following the laws of economics” (ie wage theft) and another “individuals who commit a crime” (ie other theft). This would mean wage theft is not committing a crime. You even literally put “crime” in scare quotes when referring to wage theft. This is what you are being criticised for. Nothing else. Not anything that you later brought up and nobody else commented on. Just that one view that you said, by yourself, unrelated to the data presented or the source of that data.
You downplayed wage theft as a crime.
Nobody’s talking about you asking for sources or commenting on specific aspects of the data because it’s not what people are pissed about. This is like if you draw a cock and balls on the Mona Lisa but when people yell at you you just refuse to acknowledge it and keep talking about your time in art school. Nobody cares about art school, it’s all about the cock and balls.
Not at all what I was saying, once again. I’m saying that, that fact needs to be explicitly stated, just like you did. But it isn’t here. That’s one problem.
Wage theft isn’t cut and dry and it isn’t specific at all. Here’s a definition: Wage theft occurs when employers do not pay workers according to the law. Examples of wage theft include paying less than minimum wage, not paying workers overtime, not allowing workers to take meal and rest breaks, requiring off the clock work, or taking workers’ tips.
Of the data related to wage theft and theft, I wanted a break down of what those very large definitions meant specifically here, so that we can be sure to account for everything on the table, and not round over stats into higher-level, more generalized categories.
There’s more trucks than cars on the road because businesses employee people for most of the day, most people have jobs, and there’s a high enough amount of jobs requiring driving trucks on the roads.
^ this is the logic train I’d like to follow for these stats. Not just “this wide category had wide results”
Which I will do when I have time to actually sit down and look at the stats/source.