Bubbletrubble
Contributor
What's worse?
Scenario A: Arriving at the incorrect conclusion due to a paucity of data (e.g., n=2).
Scenario B: Not being able to arrive at any conclusion at all due to insufficient data.
I'd rather be uncertain than incorrect...but that's just me.
People like to think that findings/conclusions in science are black-and-white. That's the exception rather than the rule. Meaningful statistics help us make some sense of the gray areas -- and pretty much everything falls into a gray area.
On a related note, when it comes to medicine, patients like to hear from a doctor: "If you do X, Y, and Z, you will be healthy and you'll live a long life."
Although that kind of talk can be comforting, it is rarely accurate.
Best of luck with everything. It sounds like you are already working with some good physicians.
Scenario A: Arriving at the incorrect conclusion due to a paucity of data (e.g., n=2).
Scenario B: Not being able to arrive at any conclusion at all due to insufficient data.
I'd rather be uncertain than incorrect...but that's just me.
People like to think that findings/conclusions in science are black-and-white. That's the exception rather than the rule. Meaningful statistics help us make some sense of the gray areas -- and pretty much everything falls into a gray area.
On a related note, when it comes to medicine, patients like to hear from a doctor: "If you do X, Y, and Z, you will be healthy and you'll live a long life."
Although that kind of talk can be comforting, it is rarely accurate.
Best of luck with everything. It sounds like you are already working with some good physicians.