Some mind boggling references in this thread.

However, they all suffer from the same fault.

That's trying to make wide ranging conclusions from limited data. It's always a mistake

Add to this the tendency to cherry pick conclusions you want to see whilst ignoring those you don't want to see.

Good science is based on years of work and extensive data not on a " quick dip in the pond" by a scientist wanting to attract attention or funding for their pet project.

Mass data in the public domain is essential