That's how data analysis works. I thought we were trying to move away from judgments based on emotional reactions?
The issue is whenever these topics come up people like you come in and make the sample size argument, completely forgetting the million other times youve made that argument before.
Exaggeration won't help you. And again, if we're talking about transgender athletes as a whole, there's clearly going to be a reporting bias towards those who win just like there is for all athletes.
So even if we did provide you with enough for mah sample size you would disregard it as reporting bias.
Good to know
Do you disagree that you should have a significant amount of data before you can reasonably identify a trend? Do you disagree that news outlets will report on wins more than losses?
*shows you siginificant amount of data accumulated over time*
Reporter bias
Examples of trans athletes winning in sports news is not a significant amount of data. In fact, news reporting itself is almost never a significant amount of data unless the data you're analyzing is on news reporting itself.
I also noticed you didn't answer whether you disagreed or not.