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Why do people misunderstand climate change? Heuristics, mental models and ontological assumptions

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Abstract

Studies have indicated that many people misunderstand climate change. Equipped with a limited mental model they inappropriately use a pattern matching heuristics to analyze climate change and mistakenly believe that we can stabilize atmospheric CO2 by keeping anthropogenic emissions at current rates. Drawing on the findings from cognitive and developmental psychology, I argue that the widespread misunderstanding of climate change may arise from an error in people’s ontological assumptions. The pattern matching heuristics highlights correlations in shape and associates with a static mental model, both of which are effective for understanding objects. When people adopt the pattern matching heuristics, they may have implicitly treated climate change as an object. However, climate change belongs to a different kind of ontological existence. It is a dynamic process with temporal totality and inertia, two unique features essential to understanding climate change. Due to the sequence of cognitive development, we have developed an object bias – a tendency to treat processes as objects. This object bias can become a mental block, preventing us from adopting appropriate mental models to analyze climate change. To understand climate change, we need a fundamental transformation from an object-only ontology to a new one that properly treats objects and processes as distinct kinds. Finally, I briefly discuss strategies to foster the new ontological perspective in the discussion of climate change.

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References

  • Baillargeon R, Spelke E, Wasserman S (1985) Object permanence in 5-month-old infants. Cognition 20:191–208

    Article  Google Scholar 

  • Barsalou L (1991) Deriving categories to achieve goals. In: Bower G (ed) The psychology of learning and motivation, vol 27. Academic, New York, pp 1–64

    Chapter  Google Scholar 

  • Barsalou L, Sewell D (1985) Constrasting the representation of scripts and categories. J Mem Lang 24:646–665

    Article  Google Scholar 

  • Carey S, Spelke E (1994) Domain-specific knowledge and conceptual change. In: Hirschfeld L, Gelman S (eds) Mapping the mind: domain specificity in cognition and culture. Cambridge University Press, Cambridge, pp 169–200

    Chapter  Google Scholar 

  • Carey S, Spelke E (1996) Science and core knowledge. Philos Sci 63:515–533

    Article  Google Scholar 

  • Chen X (2007) The object bias and the study of scientific revolutions: lessons from developmental psychology. Philos Psychol 20:479–503

    Article  Google Scholar 

  • Chi M (1992) Conceptual change within and across ontological categories: examples from learning and discovery in science. In: Giere R (ed) Cognitive models of science. University of Minnesota Press, Minneapolis, pp 129–186

    Google Scholar 

  • Cronin M, Gonzalez C (2007) Understanding the building blocks of dynamic systems. Syst Dyn Rev 23:1–17

    Article  Google Scholar 

  • Cronin M, Gonzalez C, Sterman J (2008) Why don’t well-educated people understand accumulation? A challenge to researchers, educators, and citizens. Org Behav Human Decis Process 108:116–130. doi:10.1016/j.obhdp.2008.03.003

    Article  Google Scholar 

  • Hacker P (1982) Events and objects in space and time. Mind 91:1–19

    Article  Google Scholar 

  • Hirsch E (1982) The concept of identity. Oxford University Press, New York

    Google Scholar 

  • IPCC (2001) Climate change 2001: The scientific basis. Technical summary. A report of working group 1 of the intergovernmental panel on climate change. IPCC Third Assessment Report

  • Joyce T (2006) Observations on global warming. Presentation to the Aspen Institute, Washington, DC, June 17, 2006

  • Keil F (1979) Semantic and conceptual development: an ontological perspective. Harvard University Press, Cambridge

    Google Scholar 

  • Landau B, Stecker D (1990) Objects and places: geometric and syntactic representations in early lexical learning. Cogn Dev 5:287–312

    Article  Google Scholar 

  • Landau R, Smith L, Jones S (1988) The importance of shape in early lexical learning. Cogn Dev 3:299–321

    Article  Google Scholar 

  • Pala Ö, Vennix J (2005) Effect of system dynamics education on system thinking inventory task performance. Syst Dyn Rev 21:147–172

    Article  Google Scholar 

  • Proffitt D, Gilden D (1989) Understanding natural dynamics. J Exp Psychol Hum Percept Perform 15:384–393

    Article  Google Scholar 

  • Reiner M, Slotta D, Chi M, Resnick L (2000) Naive physics reasoning: a commitment to substance-based conceptions. Cogn Instr 18:1–34

    Article  Google Scholar 

  • Rosch E, Mervis C, Gray W, Johnson D, Boyes-Braem P (1976) Basic objects in natural categories. Cogn Psychol 8:382–439

    Article  Google Scholar 

  • Schmitt R (2000) The ocean’s role in climate. Testimony to the Senate Committee on Commerce, Science, and Transportation. July 18, 2000

  • Slotta J, Chi M (2006) Helping students understand challenging topics in science through ontological training. Cogn Instr 24:261–289

    Article  Google Scholar 

  • Slotta J, Chi M, Joram E (1995) Assessing students’ misclassifications of physics concepts: an ontological basis for conceptual change. Cogn Instr 13:373–400

    Article  Google Scholar 

  • Spelke E (1991) Physical knowledge in infancy: reflections on piaget’s theory. In: Carey S, Gelman R (eds) The epigenesis of mind: essays in biology and cognition. Lawrence Erlbaum, Hillsdale, NJ, pp 133–169

    Google Scholar 

  • Sterman J (2008) Risk communication on climate: mental models and mass balance. Science 322:532–533

    Article  Google Scholar 

  • Sterman J, Booth Sweeney L (2002) Cloudy skies: assessing public understanding of global warming. Syst Dyn Rev 18:207–240

    Article  Google Scholar 

  • Sterman J, Booth Sweeney L (2007) Understanding public complacency about climate change: adults’ mental models of climate change violate conservation of matter. Clim Change 80:213–238

    Article  Google Scholar 

  • Trabasso T, Riley C (1975) On the construction and use of representation involving linear order. In: Solso R (ed) Information processing and cognition: the loyola symposium. Erlbaum, Hillsdale, pp 381–410

    Google Scholar 

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Correspondence to Xiang Chen.

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Chen, X. Why do people misunderstand climate change? Heuristics, mental models and ontological assumptions. Climatic Change 108, 31–46 (2011). https://doi.org/10.1007/s10584-010-0013-5

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  • DOI: https://doi.org/10.1007/s10584-010-0013-5

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