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IPS169 Markku L.
                  of  discussions  on  post-truth.  This  type  of  trust  relates  to  higher-level
                  institutions,  such  as  democracy,  the  state,  market,  and  planning,  and  their
                  legitimate roles in society (Tait 2011, 158). As a more abstract form of trust, it
                  is  difficult  to  capture  via  quantitative  surveys.  It  concerns  schemes  of
                  interpretation of reality, relating to means-ends relationships and strategies
                  (Söderbaum 1999; 2013, p. 223), i.e. to “wider abstract systems and ideas”,
                  such  as  economic  growth  models,  the  legitimate  role  of  government  in
                  intervening  in  the  economy  (Tait  2011,  160),  technological  optimism,
                  centralised  or  decentralised  solutions  (Söderbaum  1999,  163),  or  the
                  legitimacy of the purposes of data collection for production of statistics and
                  indicators. Unlike social and institutional trust, ideological trust does not draw
                  on previous evidence or knowledge, but “on an individual’s or institution’s
                  place within wider social discursive structures” (Tait 2011, 160).
                      To the extent that non-users mistrust indicators, this mistrust is largely
                  ideologically founded, precisely because of their lack of first-hand experience.
                  This is by means not to say that ‘users’ and creators of indicators would be
                  free of ideological postulates and assumptions. The very birth of statistics as a
                  state endeavour, and their further development in the early 19  century in the
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                  hands of ‘social reformers’ (Bascand 2009), involved judgements concerning
                  the legitimate roles of the state, experts, and the civil society. Moreover, the
                  cultural and institutional context is vital: countries and democratic cultures
                  vary not only with respect to their traditions concerning the respective roles
                  of the state, the private sector and the civil society, but also when it comes to
                  the  roles  that  trust  and  mistrust  have  played  in  their  development.  For
                  example, liberal democracy is arguably founded in mistrust amongst citizens
                  towards the state (e.g. Warren 1999, 310; Lenard 2008), whereas in the Nordic
                  countries, democracy has developed upon a trustful social contract between
                  the state and the citizens (e.g. Montin 2015).
                      Ideological trust in the area of indicators finds one of its most prominent
                  examples in what has been variously called “indicator culture” (Merry 2016),
                  ‘trust in numbers’ (Porter 1995), or audit culture (Power 1999; Shore & Wright
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                  2015), including phenomena such as the ‘fallacy of misplaced concreteness’
                  and  false  precision  (Hicks  et  al.  2015).  More  generally,  these  cultures  and
                  beliefs are founded in “trust in technical rationality, in the legibility of the social
                  world through measurement and statistics, and in the capacity of numbers to
                  render different social worlds commensurable” (Merry 2016). Trust in numbers
                  –  in  science  as  a  form  of  obtaining  information,  and  the  corresponding
                  scepticism about politics – is fundamentally ideological in nature. It is crucial
                  to examine, however, the interaction between the dimensions of trust: the


                  4  The fallacy of misplaced concreteness is commonly  described as mistaking a theoretical
                  construct for a physical or ‘concrete’ reality.
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