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EVIDENCE
facts about the world that support some claim or hypothesis
EVIDENCE TEST
How likely is F given that H?
How likely is F given that not H?
First rule of evidence:
Any observation of F that passes this test should increase our confidence in the claim or hypothesis H
STRENGTH TEST
Involves a comparison:
Suppose H is true. How likely is F? Quantify.
Suppose H is false. How likely is F? Quantify.
Compare these 2 quantities.
DEGREES OF CONFIDENCE
Confidence in a claim can be expressed on a spectrum ranging from 0 to 1
0 = certain that claim is false
0.5 = equal confidence in claim being true or false
1 = certain that claim is true
also can be translated into percentage
NOT probability
restricted to future events
a statistical generalization about classes of events
IS probability
the probability of a claim is simply your degree of confidence in that claim
STRENGTH FACTOR (SF)
How much more likely the evidence is given that the claim or hypothesis is true than given that it is false
SF= How likely the evidence is given H divided by how likely the evidence is given not-H
The higher the number, the more support the evidence proides for the claim or hypothesis
OPPOSITE EVIDENCE RULE
If E is evidence for H then not-E is evidence for not-H
SURVIVOR BIAS
occurs when researchers focus on individuals, groups, or cases that have passed some sort of selection process while ignoring those who did not
ATTRITION BIAS
a type of selection bias due to systematic differences between study groups in the number and the way participants are lost from a study
MEDIA BIAS
Media is more motivated not by truth but by engaging contentent
ECHO CHAMBER
phenomenon where our sources of information are selected to support our opinions which creates a loop as the views become more polarizing
Social media compounds the problem