www.ci.anl.gov scientific research: what anna karenina teaches us about useful negative results...
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3 Parallel and Distributed Application Paradigms Anna Karenina principle Describes an endeavor in which a deficiency in any one of a number of factors dooms it to failure Consequently, a successful endeavor (subject to this principle) is one where every possible deficiency has been avoided In statistics, the term is used to describe significance tests: there are any number of ways in which a dataset may violate the null hypothesis* and only one in which all the assumptions are satisfied -- https://en.wikipedia.org/wiki/Anna_Karenina_principle *The null hypothesis usually refers to a general statement or default position that there is no relationship between two measured phenomena, or no difference among groups -- Everitt, Brian (1998). The Cambridge Dictionary of StatisticsTRANSCRIPT
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Scientific research: What Anna Karenina teaches us about useful negative results
Daniel S. KatzSenior Fellow, Computation Institute (University of Chicago & Argonne National Laboratory)Affiliate Faculty, CCT (LSU)
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2 Parallel and Distributed Application Paradigms
• "Happy families are all alike; every unhappy family is unhappy in its own way.”
-- Leo Tolstoy. Anna Karenina
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3 Parallel and Distributed Application Paradigms
Anna Karenina principle• Describes an endeavor in which a deficiency in any one of a number
of factors dooms it to failure• Consequently, a successful endeavor (subject to this principle) is
one where every possible deficiency has been avoided• In statistics, the term is used to describe significance tests: there
are any number of ways in which a dataset may violate the null hypothesis* and only one in which all the assumptions are satisfied -- https://en.wikipedia.org/wiki/Anna_Karenina_principle
*The null hypothesis usually refers to a general statement or default position that there is no relationship between two measured phenomena, or no difference among groups -- Everitt, Brian (1998). The Cambridge Dictionary of Statistics
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4 Parallel and Distributed Application Paradigms
Scientific research process
• The goal of research is provable (reproducible) knowledge– Expressed descriptively
o Something an observer can read, i.e., in a paper, book, algorithm, etc.
– Expressed physicallyo Something an observer can touch, measure, etc., i.e., an experiment
– Expressed digitallyo Something an observer can run on a computer, i.e., simulation or
analysis software and required data
• Both physical and digital results usually also require descriptive analysis
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5 Parallel and Distributed Application Paradigms
The value of research results
• How do we decide if there is value in a result?– Results can be positive or negative– Must be new (and arguably provable)– Positive results that show something novel– Positive results that show something already in a
novel way
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6 Parallel and Distributed Application Paradigms
The value of negative research results
• Many results can show that something doesn't work
• First demonstration that something doesn’t work is novel– May be sufficient for publication by itself– May require understanding of why
• Otherwise, want to provide new understanding of why it doesn't work– Potentially leading to possible paths to make it work
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7 Parallel and Distributed Application Paradigms
Back to Anna Karenina
• "Happy families are all alike; every unhappy family is unhappy in its own way.” -- Leo Tolstoy. Anna Karenina
• Lesson– To sell a story, it needs to be novel, perhaps by
explaining why the family is unhappy