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IPS169 Gaby U.
                  •  Institutional capacity to select, evaluate & process data (Difficulty of
                     common  understandings  /  Oversimplification  of  complexity:
                     Statistics  are  part  of  knowledge  production  process;  Discourse  &
                     deliberation in evidence-based processes)
                  •  Institutional requirements to guarantee neutrality of / access to data
                     (Who defines what at which stage; Responsiveness statistics creation
                     – policy context; Multiple and strategic/value-based use to support
                     interests & aims)
                  •  Instrumental limits (‘Rhetoric-Reality Gap’ , ‘Means-Ends Dilemma’,
                     Difficulty  of  common  understandings  /  Oversimplification  of
                     complexity / Life-cycles of paradigms: ‘Ecology of indicators’/’Data
                     cultures’; One-size-fits-all; ‘Post-factual’ trends; Politicisation)

            4.  Discussion and Conclusion
            The Intentional and Unintentional Use of Indicators: Data as a Means of Politics
                Statistics are key instruments to quantify, qualify and compare; as such
            they are essential for collective political action (see Bhuta, Malito, and Umbach
            2018). While a lot of academic reflection focusses on the micro level of data
            development  and  statistical  methods,  macro  level  analysis  of  the  overall
            position  and  relevance  of  statistics  in  policy-making  are  essential  to
            understand the challenges ahead for data providers and politicians in view of
            producing and using data as evidence in 21  century policy-making.
                                                       st
                History informs us that the connection between knowing and governing
            links statistics and politics ever since the 17  century’s rise of the early modern
                                                     th
            state. As highlighted by the previous research of Malito, Umbach and Bhuta
            (2018),  quantification  became  an  essential  means  of  early  modern  politics
            through governing by numbers based on delocalised, aggregate knowledge
            about the state and its component parts. When, within the enlightened state
            of  the  19   century,  rationality  and  effectiveness  of  government  became
                      th
            categories  of  politics,  statistical  knowledge  was  in  high  demand  and  the
            proliferation of statistics led to an ‘avalanche of printed numbers’ (Hacking
            1990: 138). With this increased availability of metrics of the state and the need
            to  justify  state  intervention,  measurable  realities  and  measuring  became
            instrumental  for  collective  political  action.  The  inseparable  link  between
            statistics and state power was born.

            Indicators and Their Interaction with Policy: Data as Factual Fifth Power of
            Evidence-Based Politics
                Grounding decision-making in factual evidence ‘helps people make well
            informed decisions about policies, programmes and projects by putting the
            best  available  evidence  at  the  heart  of  policy  development  and
            implementation’  (Davies  2008).  Such  evidence-based  policy-making

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