1 - EU final
Transcript of 1 - EU final
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Measuring the UnmeasurableUNSC Seminar - 27 February 2012
Walter Radermacher, Chief Statistician of the EU
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Measuring the unmeasurable: stretching the
methodological borderlines, changing paradigms
or simply lowering quality thresholds?
Measuring: Traditional: Process or result of
determining the ratio of a physicalquantity (such as length, time,temperature etc.) to a unit ofmeasurement (such as the meter,second or degree Celsius)
Post normal science
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Everything can be measured ..Est modus in rebus, sunt certi denique
fines (Horace)
Is this really true?
Or does it depend on thecriteria and technologyused?
We apply seasonaladjustment to measuregrowth rate. Is this an
observation, a model or acomposite of both? http://www.mathacadem
y.com/pr/minitext/escher
/big.asp?IMAGE=fish_a
nd_scaleshttp://en.wikipedia.org/wiki/Horace
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http://claesjohnson.blogspot.com/2009/11/vasa-ship.htmlhttp://ulkotours.com/blog/the-vasa-museum-stockholm/
The History of the Vasa
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From theoretical concept to measurable variable
Axioms andvalidity,
paradigms
The limits of ourmind
Creative operationalisation;thinking the unthinkable
Breaking therules?
Constraints: costs, time,confidentiality
Relevance
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Consistency with theory
Political relevance Measurability
Which theory???
Who decides??? Reliability, timeliness, ???
Quality =
Fitness for
Purpose
Quality in statistics: fundamental aspects
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Recent developments / change in paradigm
New methods and techniques
Access to protected microdata
Remote sensing, GIS
ICT Modelling (Intra- vs. Extrapolation)
Facts vs. Feelings
New theories ??Specific
purpose
Multi-
purpose
Primary data
coherent meso data
Indicators
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Clandestine
Fiction
Future
Too costly
No meter
Price without
market
Opinion
Measurable
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Re-defining what is measurable
Where theory fails: natural stocks, prices without amarket
Where paradigms might change: quality of life,happiness, wellbeing.
Where methods might improve: illegal activities (human
trafficking, black market, money laundering)
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Society is asking for more!
Where do we draw the line between facts and feelings?
Where do we draw the line between official / non-officialstatistics?
What defines the credibility of statistics?
How far do we want to go?