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.
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.