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[Science’s Personality] Perspective
To see via logic
Research Knowledge
Methodical
Universal
Open to testing
Hypothesis testing: to disprove something
Active role by scientists
Endeavoring to understand why
Belief
Experiential
Personal; cannot be disproved
[Science’s Personality] Process
What we learn is not static
Stronger theory = able to withstand time and testing; keep the obvious
[Science’s Personality] Endeavor
Social context; ethical, inclusive, sensitive
Priorities
[Science’s Personality] Institution
ideals/norms that define what science is/should be
Robert Merton’s CUDOS
Communalism
Universalism
Disinterestedness
Organized skepticism
[Basic Principles of Science] Empiricism
Observation of real phenomenon
Agreeing on a definition
[Basic Principles of Science] Uniformitarianism
Basic processes stay the same despite time and space
Levels of application; foundational
[Basic Principles of Science] Parsimony
Simpler explanation between 2 solid ones is preferred
[Basic Principles of Science] Uncertainty
Knowledge changes with new evidences
Theories can change
Measurements may not always be 100%
[Basic Principles of Science] Repeatability
Results need to be reproduced similarly
[Basic Principles of Science] Proof is Elusive
No absolute proof
Never 100% sure
To test a hypothesis is to disprove it
[Basic Principles of Science] Testable Questions
Not testable does not mean it’s not scientific
Applicability
Not all empirical data applies to a specific context
Culture, traditions, etc.
[Science v. Pseudoscience] Science
seeks to disconfirm
approach > topic
[Science v. Pseudoscience] Pseudoscience
Statements that appear to be scientific but are not grounded in evidence
Not supported by validated facts
Di connected
Trying to be science, but isn’t
[Warning signs of Pseudoscience] Heavy Jargon/Psychobabble
Use of technical-sounding words to appear legitimate
[Warning signs of Pseudoscience] Substantial reliance on anecdotal evidence
Problematic as the only evidence
Claims rely on these heavily
[Warning signs of Pseudoscience] Extraordinary claims in absence of extraordinary evidence
Not all novel claims are unscientific
[Warning signs of Pseudoscience] Absence of connectivity to other research
Data cherry-picking
Using data and fit it to what you want to say
[Warning Signs of Pseudoscience] Lack of self-correction
If it’s been used for thousands of years, it must be correct
There's no dichotomy between tradition and science