I really struggle to cope with the darkness during winter mornings, I'm looking to buy some kind of sun-type lamp before next winter comes.After some googling, the space seems inundated with pseudo-science snake oil garbage. Any recommendations for high powered broad spectrum lamps?
It comes to a figure of 12k loss as the cost of replacing the toxic employee. Yes, replacing an employee is always a net loss in isolation.
It seems to be using a tautological definition:
defines a “toxic” employee as: “A worker that engages in behavior that is harmful to an organization, including either its property or people.” Yes, that causes a net loss. By definition.
They also state they don't consider "productivity spillover" because they found spillover can sometimes be negative so they just assume it all cancels out. If Bob rebuilds something and saves every other employee lots of time going forward.... this analysis just ignores it.
The news coverage makes it seem like a tickbox study tailored to HR interests in large orgs, so they can pat themselves on the back for 'proving' that teamwork trumps uncharismatic productivity, despite the study saying nothing about that.
If one wanted to truly study these costs, they'd also be looking at charismatic unproductive people who, despite all making each other feel good, don't actually bring any value to an organisation.
That is a fundamentally flawed concept. The ML simply learns from what is. The concept of racism is in flux, what was ok yesterday is racist now, what was racist yesterday is ok now, and it will shift again tomorrow. I won't even start on the fact that different demographics across the globe have vastly differing and often polar opposite views about racism.
The ability to accurately model the what is is not a weakness of ML, it is the strength. Do not blame ML for learning to accurately depict the real world, no matter how uncomfortable it makes you.