Test for data, factual knowledge and counterfactual knowledge. True rationalists will have less counterfactual knowledge than non-rationalists because they will have filtered it out. Non-rationalits will have more false data because their counterfactual knowledge will feedback and cause them to believe things that are false are actually true. For example that Iraq or Iran was involved in 9/11.
What you really want to measure is the relative proportion of factual and counterfactual knowledge someone has, and in what particular areas. Then including areas like religion, medicine, alternative medicine, and politics in the testing space is advantageous because then you can see where the idea space is that the individuals are most non-rational in.
This can be tricky because many individuals are extremely invested in their counterfactual knowledge and will object to it being identified as counterfactual. A lot of fad-driven science is based on counterfactual knowledge, but the faddists don’t want to acknowledge that.
A way to test this would be to see how well people can differentiate correct facts (data) from factual knowledge (based on and consistent with only data) from counterfactual knowledge (based on false facts and not consistent with correct facts) from opinion consistent with facts or opinion consistent with false facts.
An example: in the neurodegenerative disease of Alzheimer’s, there is the association of the accumulation of amyloid with dementia. It remains not established if amyloid is a cause, or an effect or is merely associated with dementia. However there have been studies where amyloid has been removed via vaccination against amyloid and a clearing of amyloid by the immune system with no improvement.
I imagine a list of a very large number of statements to be labeled as
1.true (>99% likelihood)
2.false (>99% likelihood to be false) [edited to improve definition of false]
3.opinion based on true facts
4.opinion based on false ideas
5.no one knows
6.I don’t know
A list of some examples
Iraq caused 9/11 2
WMD were found in Iraq 2
Amyloid is found in Alzheimer’s 1
Amyloid causes Alzheimer’s 2 (this happens to be a field I am working in so I have non-public knowledge as to the real cause)
Greenhouse gases are causing GW 1
Vaccines cause autism 2
Acupuncture is a placebo 1
There is life on Mars 5
You don’t want to test for obscure things, you want to test for common things that are believed but which are wrong. I think you also want to explicitly tell people that you are testing them for rationality, so they can put themselves into “rational-mode” (a state that is not always socially acceptable).
The table-like lists look fine in the edit box but not fine once I post. :(
Thanks, I was trying to make a list, maybe I will figure it out. I just joined and am trying to focus on getting up to speed on the ideas, the syntax of formating things is more difficult for me and less rewarding.
Then use more obscure questions.
Test for data, factual knowledge and counterfactual knowledge. True rationalists will have less counterfactual knowledge than non-rationalists because they will have filtered it out. Non-rationalits will have more false data because their counterfactual knowledge will feedback and cause them to believe things that are false are actually true. For example that Iraq or Iran was involved in 9/11.
What you really want to measure is the relative proportion of factual and counterfactual knowledge someone has, and in what particular areas. Then including areas like religion, medicine, alternative medicine, and politics in the testing space is advantageous because then you can see where the idea space is that the individuals are most non-rational in.
This can be tricky because many individuals are extremely invested in their counterfactual knowledge and will object to it being identified as counterfactual. A lot of fad-driven science is based on counterfactual knowledge, but the faddists don’t want to acknowledge that.
A way to test this would be to see how well people can differentiate correct facts (data) from factual knowledge (based on and consistent with only data) from counterfactual knowledge (based on false facts and not consistent with correct facts) from opinion consistent with facts or opinion consistent with false facts.
An example: in the neurodegenerative disease of Alzheimer’s, there is the association of the accumulation of amyloid with dementia. It remains not established if amyloid is a cause, or an effect or is merely associated with dementia. However there have been studies where amyloid has been removed via vaccination against amyloid and a clearing of amyloid by the immune system with no improvement.
I imagine a list of a very large number of statements to be labeled as 1.true (>99% likelihood) 2.false (>99% likelihood to be false) [edited to improve definition of false] 3.opinion based on true facts 4.opinion based on false ideas 5.no one knows 6.I don’t know
A list of some examples
Iraq caused 9/11 2 WMD were found in Iraq 2 Amyloid is found in Alzheimer’s 1 Amyloid causes Alzheimer’s 2 (this happens to be a field I am
working in so I have non-public knowledge as to the real cause) Greenhouse gases are causing GW 1 Vaccines cause autism 2 Acupuncture is a placebo 1 There is life on Mars 5
You don’t want to test for obscure things, you want to test for common things that are believed but which are wrong. I think you also want to explicitly tell people that you are testing them for rationality, so they can put themselves into “rational-mode” (a state that is not always socially acceptable).
The table-like lists look fine in the edit box but not fine once I post. :(
http://daringfireball.net/projects/markdown/syntax
Thanks, I was trying to make a list, maybe I will figure it out. I just joined and am trying to focus on getting up to speed on the ideas, the syntax of formating things is more difficult for me and less rewarding.
There’s also a help link under the comment box.
Yes, thankyou just one problem
too obvious
and
too easy