Test 1 Flashcards
(34 cards)
misinformation
accidental spreading of wrong information (not purposeful)
Disinformation
porposeful speard of wrong information
infodemic
lots of information is available- mis and misinformation existed beofre (ie snake juice) nut now it can be spead a lot more easily and faster
Tips on stopping the spread (of fake news)
- acess the source
- go beyond the headline
- identify the author
- check the date (how recent)
- examine the supporting evidence
- check biases
- turn on fact checkers
fake inforamtion example Hydroxyxhloroquine and ivermectin
gained traction as a potential treatment for covid
some promosing results (very early on)- limited studies, poorly designed studies
Eventually-
better designed studies and more of them- did not support hte use of it
growing disconnect with science
-want concrete answers (yes or no), but they rarely exisit
-research provides :evidence”
-Live in a world of statistics (probability)
-no such thing as scientific prrof
-Healthy scepticism is what science is build upon
scientific literacy can mean…
many things
What is scientific literacy
a skill set and mondset that will support problem solving and making intelligent, informaed decisons
A way of thinking that is more logical, with healthy level of skepticism
Impact your daily life and career
intuition
Draw general conclusions based on emotions and instincts (one way vs another)
can be based on past experiences/partial evidence
authority
statements from authorities must be true
persuasion is the not same as credibility - lots of credible people are not persuasive (and vise versa)
Rationalsim
reason/logic to draw conclusions (without actually seening anything)
–> if this, then this
but need to conside if inital premise is wrong– then logic falls flat
Empriricism
making conclusions through structured observations
-different than anecdotal evidence
*scientific process
The scientific approach
is grounded in empiricism
but also relies on rationalism, authority and intiution
reuqires healthy skepticism
-cant blindly accept what you read
-evaluate the basics of logic and the quality of scientific results (is it consistent with other work in the feild)
The scientific approach- circle (process)
Systematic set of principles and procedures for generating knowledge
observation–> question–> hypothesis–> experience–> analysis–> conclusion–>
The pseudo-scientific approach
-hypotheiss not testable
-methods are not scientific or validity of data is questionable
-evidence is anecdotal
-heavy focus on “experts”, not scientific references
-ignores conflicting evidence
-uses many “scientific sounding” terms/ideas
-claims are vague
Common misinterpretations of scientific data
many wats scienfific findings can be lost in translation
-Sicentific misinterpretation
ie correlation vs causation, confounding variables, statistical signficance
-Overgeneralizations
ie a single study is rarely confirmatory , results may apply to a specific group
Statistical misinterpreation- correlation vs causation
correlation: a relationship between 2 measures
reported as a correlation coefficeint (0= not related; 1= perfectly related)
Statistical misinterpreation- ignoring confounding variables
other variables that may also influence the relationship but are not the primary focus
Statistical significance
-describes how likely what we observed is due to chance
-Our confidence in our results
-realtes to p-values– p=0.05 threshold used in most research- highly debated
-influenced by the average scores, how much they vary and the number of scores collected
what does a smaller p-value indicate
less likely that results are obtained by chance- more evidence
the importance of variability in statistical significance
two studes with the same results (ie same weight lost) may have different p-values. Same mean between both sets but the variability between participants varries- less variation= more confident
importance of sample size in statistical significance
a daaset witht he same mean- one with a larger sample size will have a smaller p value
statistical significance vs importance
conside 6.2 vs 5.8lbs of weight loss between experiental and control group. Although this difference is statiscally significant, it is unlikely to be clinacally signifciant- also play a role when considering treatment options.
overgeneralizing- a single study
is rarely confirmatory
-each individual study provides incremental evidence
-best to examine the entrie body of evidence