Skip to main content
Log in

Climate Consensus and ‘Misinformation’: A Rejoinder to Agnotology, Scientific Consensus, and the Teaching and Learning of Climate Change

  • Published:
Science & Education Aims and scope Submit manuscript

Abstract

Agnotology is the study of how ignorance arises via circulation of misinformation calculated to mislead. Legates et al. (Sci Educ 22:2007–2017, 2013) had questioned the applicability of agnotology to politically-charged debates. In their reply, Bedford and Cook (Sci Educ 22:2019–2030, 2013), seeking to apply agnotology to climate science, asserted that fossil-fuel interests had promoted doubt about a climate consensus. Their definition of climate ‘misinformation’ was contingent upon the post-modernist assumptions that scientific truth is discernible by measuring a consensus among experts, and that a near unanimous consensus exists. However, inspection of a claim by Cook et al. (Environ Res Lett 8:024024, 2013) of 97.1 % consensus, heavily relied upon by Bedford and Cook, shows just 0.3 % endorsement of the standard definition of consensus: that most warming since 1950 is anthropogenic. Agnotology, then, is a two-edged sword since either side in a debate may claim that general ignorance arises from misinformation allegedly circulated by the other. Significant questions about anthropogenic influences on climate remain. Therefore, Legates et al. appropriately asserted that partisan presentations of controversies stifle debate and have no place in education.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. This point is highlighted to stress the difficulties in ascertaining the actual causal role and impact of changing atmospheric carbon dioxide content on weather statistics and climate change over long time scales. We are aware of an opposing conclusion reached by Alley (2007), for example, where atmospheric carbon dioxide content is said to be quintessential for the presence of climate change on all timescales. Dr. Alley’s presentation is at http://agu.org/meetings/fm09/lectures/lecture_videos/A23A.shtml.

  2. Note that Cook et al. (2013) have apparently missed the key conclusions from three independent studies. First, Knight et al. (2009) have suggested that “The simulations rule out (at the 95 % level) zero trends for intervals of 15 years or more, suggesting that an observed absence of warming of this duration is needed to create a discrepancy with expected present-day warming rate” (p. S23). Santer et al. (2011), in adopting a slightly different metric, offered the conclusion: “Our results show that temperature records of at least 17 years in length are required for identifying human effects on global-mean tropospheric temperature” (p. 1). Finally, Huang (2013) provided an even more definitive detection and diagnostic of the carbon dioxide-global warming hypothesis by suggesting that “the most detectable secular trend signals appear in the CO2 band and the time it takes to see these radiance changes is much less than 12 years” (p. 1711).

  3. See http://policlimate.com/tropical/.

  4. Only five such years exist since 1950–2000, 2001, 2006, 2009, and 2010.

  5. http://wind.mit.edu/~emanuel/Hurricane_threat.htm.

  6. See http://www.telegraph.co.uk/earth/earthnews/3310137/Al-Gores-nine-Inconvenient-Untruths.html and http://www.guardian.co.uk/environment/2007/oct/11/climatechange.

  7. From Norman Myers, “Environmental refugees. An emergent security issue”. 13 Economic Forum, Prague, OSCE, May 2005; Millennium Ecosystem Assessment, 2005.

  8. http://phys.org/news/2011-02-million-environmental-refugees-experts.html.

References

  • Akasofu, S.-I. (2010). On the recovery from the little ice age. Natural Science, 2, 1211–1224.

    Article  Google Scholar 

  • Alley, R. B. (2007). Wally was right: Predictive ability of the North Atlantic ‘conveyor belt’ hypothesis for abrupt climate change. Annual Review of Earth and Planetary Science, 35, 241–272.

    Article  Google Scholar 

  • Amstrup, S. C., Marcot, B. G., & Douglas, D. C. (2007). Forecasting the range wide status of polar bears at selected times in the 21st century. Anchorage, Alaska: USGS Alaska Science Center.

    Google Scholar 

  • Anagnostopoulos, G. G., Koutsoyiannis, D. K., Christofides, A., Efstratiadis, A., & Mamassis, N. (2010). A comparison of local and aggregated climate model outputs with observed data. Hydrological Sciences Journal, 55, 1094–1110.

    Article  Google Scholar 

  • Anderegg, W. R. L., Prall, J. W., Harold, J., & Schneider, S. H. (2010). Expert credibility in climate change. Proceedings of the National Academy of Science, 107, 12107–12109.

    Article  Google Scholar 

  • Armstrong, J. S., Green, K. C., & Soon, W. (2008). Polar bear population forecasts: A public-policy forecasting audit. Interfaces, 38, 382–405.

    Article  Google Scholar 

  • Bedford, D. (2010). Agnotology as a teaching tool: Learning climate science by studying misinformation. Journal of Geography, 109, 159–165.

    Article  Google Scholar 

  • Bedford, D., & Cook, J. (2013). Agnotology, scientific consensus, and the teaching and learning of climate change: A response to Legates, Soon and Briggs. Science & Education, 22, 2019–2030.

    Article  Google Scholar 

  • Brindley, H., & Allan, R. P. (2003). Simulations of the effects of interannual and decadal variability on the clear-sky outgoing long-wave radiation spectrum. Quarterly Journal of the Royal Meteorological Society, 129, 2971–2988.

    Article  Google Scholar 

  • Choi, Y.-S. (2011). How sensitive is the Earth’s climate to a runaway carbon dioxide? Journal of Korean Earth Science Society, 32, 239–247.

    Article  Google Scholar 

  • Cook, J., Nuccitelli, D., Green, S. A., Richardson, M., Winkler, B., Painting, R., et al. (2013). Quantifying the consensus on anthropogenic global warming in the scientific literature. Environmental Research Letters, 8, 024024.

    Article  Google Scholar 

  • David, L., & Gordon, C. (2007). The down-to-earth guide to global warming. London, UK: Orchard Books.

    Google Scholar 

  • Ding, D., Maibach, E. W., Zhao, X., Roser-Renouf, C., & Leiserowitz, A. (2011). Support for climate policy and societal action are linked to perceptions about scientific agreement. Nature Climate Change, 1, 462–465.

    Article  Google Scholar 

  • Doran, P., & Zimmerman, M. (2009). Examining the scientific consensus on climate change. EOS. Transactions of the American Geophysical Union, 99, 22–23.

    Article  Google Scholar 

  • Essex, C. (1986). Trace gases and the problem of false invariants in climate models—a comment. Climatological Bulletin, 20, 19–25.

    Google Scholar 

  • Essex, C. (1991). What do climate models tell us about global warming? Pure and Applied Geophysics, 135, 125–133.

    Article  Google Scholar 

  • Essex, C., Ilie, S., & Corless, R. M. (2007). Broken symmetry and long-term forecasting. Journal of Geophysical Research, 112, D24S17. doi:10.1029/2007JD008563.

    Article  Google Scholar 

  • Feynman, R. P. (1969). What is science? The Physics Teacher, 7, 313–320.

    Article  Google Scholar 

  • Fischer, H., Wahlen, M., Smith, J., Mastroianni, D., & Deck, B. (1999). Ice core records of atmospheric CO2 around the last three glacial terminations. Science, 283, 1712–1714.

    Article  Google Scholar 

  • Funtowicz, S. O., & Ravetz, J. R. (1993). Science for the post-normal age. Futures, 25, 739–755.

    Article  Google Scholar 

  • Ghil, M., Chekroun, M. D., & Simonnet, E. (2008). Climate dynamics and fluid dynamics: Natural variability and related uncertainties. Physica D: Nonlinear Phenomena, 237, 2111–2126.

    Article  Google Scholar 

  • Green, K. C., Armstrong, J. S., & Soon, W. (2009). Validity of climate change forecasting for public policy decision making. International Journal of Forecasting, 25, 826–832.

    Article  Google Scholar 

  • Hollander, P. (2013). Peer review, political correctness, and human nature. Academic Questions, 26, 148–156.

    Article  Google Scholar 

  • Huang, Y. (2013). A simulated climatology of spectrally decomposed atmospheric infrared radiation. Journal of Climate, 26, 1702–1715.

    Article  Google Scholar 

  • Huang, Y., & Ramaswamy, V. (2008). Observed and simulated seasonal co-variations of outgoing longwave radiation spectrum and surface temperature. Geophysical Research Letters, 35, L17803. doi:10.1029/2008GL034859.

    Article  Google Scholar 

  • Huang, Y., Ramaswamy, V., Huang, X., Fu, Q., & Bardeen, C. (2007). A strict test in climate modeling with spectrally resolved radiances: GCM simulation versus AIRS observations. Geophysical Research Letters, 34. doi:10.1029/2007GL031409.

  • Hunter, C. M., Caswell, H., Runge, M. C., Amstrup, S. C., Regehr, E. V., & Stirling, I. (2007). Polar bears in the Southern Beaufort Sea II: Demography and population growth in relation to sea ice conditions. Anchorage, Alaska: USGS Alaska Science Center.

    Google Scholar 

  • Huntingford, C., Jones, P. D., Livina, V. N., Lenton, T. M., & Cox, P. M. (2013). No increase in global temperature variability despite changing regional patterns. Nature, forthcoming. doi:10.1038/nature12310.

  • Huxley, T. H. (1866). On the advisableness of improving natural knowledge. Fortnightly Review.

  • Kennedy, D. (2006). Acts of god. Science, 311, 303.

    Article  Google Scholar 

  • Knight, J. R., et al. (2009). Do global temperature trends over the last decade falsify climate predictions? Bulletin of the American Meteorological Society, 90, S22–S23.

    Google Scholar 

  • Koutsoyiannis, D. (2010). A random walk on water. Hydrology & Earth System Science, 14, 585–601.

    Article  Google Scholar 

  • Koutsoyiannis, D. K., Efstratiadis, A., Mamassis, N., & Christofides, A. (2008). On the credibility of climate projections. Hydrological Sciences Journal, 53, 671–684.

    Article  Google Scholar 

  • Koutsoyiannis, D. K., Montanari, A., Lins, H. F., & Cohn, T. A. (2009). Climate, hydrology and freshwater: Towards an interactive incorporation of hydrological experience into climate research. Hydrological Sciences Journal, 54, 394–405.

    Article  Google Scholar 

  • Kukla, G., & Gavin, J. (2004). Milankovitch climate reinforcements. Global and Planetary Change, 40, 27–48.

    Article  Google Scholar 

  • Kukla, G., & Gavin, J. (2005). Did glacials start with global warming? Quaternary Science Reviews, 24, 1547–1557.

    Article  Google Scholar 

  • Landsberg, H. E., & Oliver, J. E. (2005). Climatology. In J. E. Oliver (Ed.), Encyclopedia of world climatology (pp. 272–283). Dordrecht, The Netherlands: Springer Encyclopedia of Earth Sciences Series.

    Chapter  Google Scholar 

  • Lefsrud, L. M., & Meyer, R. E. (2012). Science or science fiction? Professionals’ discursive construction of climate change. Organization Studies, 33, 1477–1506.

    Article  Google Scholar 

  • Legates, D. R. (2007). An Inconvenient Truth: A focus on its portrayal of the hydrologic cycle. GeoJournal, 70, 15–19.

    Article  Google Scholar 

  • Legates, D. R., Soon, W., & Briggs, W. M. (2013). Learning and teaching climate science: The perils of consensus knowledge using agnotology. Science & Education, 22, 2007–2017.

    Article  Google Scholar 

  • Lenzer, J. (2013). Why we can’t trust clinical guidelines. British Medical Journal, 346, f3830.

    Article  Google Scholar 

  • Lewandowsky, S., Gilles, G., & Vaughan, S. (2012). The pivotal role of perceived scientific consensus in acceptance of science. Nature Climate Change, 3, 399–404.

    Article  Google Scholar 

  • Lindzen, R. S. (2007). Taking greenhouse warming seriously. Energy & Environment, 18, 937–950.

    Article  Google Scholar 

  • Lindzen, R. S., & Choi, Y.-S. (2011). On the observational determination of climate sensitivity and its implications. Asia-Pacific Journal of Atmospheric Sciences, 47, 377–390.

    Article  Google Scholar 

  • Liu, J., Wang, B., Ding, Q., Kuang, X., Soon, W., & Zorita, E. (2009). Centennial variations of the global monsoon precipitation in the last millennium: Results from ECHO-G model. Journal of Climate, 22, 2356–2371.

    Article  Google Scholar 

  • Mahmood, R., et al. (2010). Impacts of land use/land cover change on climate and future research priorities. Bulletin of the American Meteorological Society, 91, 37–46.

    Article  Google Scholar 

  • Maue, R. N. (2009). Northern Hemisphere tropical cyclone activity. Geophysical Research Letters, 36, L05805. doi:10.1029/2008GL035946.

    Article  Google Scholar 

  • Maue, R. N. (2011). Recent historically low global tropical cyclone activity. Geophysical Research Letters, 38, L14803. doi:10.1029/2011GL047711.

    Article  Google Scholar 

  • National Oceanographic and Atmospheric Administration (NOAA). (2013). Monthly mean CO2 concentration at Mauna Loa, HI. ftp://ftp.cmdl.noaa.gov/ccg/co2/trends/co2_mm_mlo.txt.

  • Oreskes, N. (2004). The scientific consensus on climate change. Science, 306, 1686 (and Erratum, 21 January 2005).

  • Pielke, R, Sr. et al. (2009). Climate change: The need to consider human forcings besides greenhouse gases. EOS. Transactions of the American Geophysical Union, 90, 413.

    Article  Google Scholar 

  • Popper, K. R. (1934). Logik der Forchung, Vienna. Reprinted in 1959 as The Logic of Scientific Discovery, London: Hutchinson & Co., p. 480.

  • Proctor, R. N. (2008). Agnotology: A missing term to describe the cultural production of ignorance (and its study). In R. N. Proctor & L. Schiebinger (Eds.), Agnotology: The making and unmaking of ignorance (pp. 1–33). Stanford, CA: Stanford University Press.

    Google Scholar 

  • Saloranta, T. M. (2001). Post-normal science and the global climate change issue. Climatic Change, 50, 395–404.

    Article  Google Scholar 

  • Santer, B. D., et al. (2011). Separating signal and noise in atmospheric temperature changes: The importance of timescale. Journal of Geophysical Research, 116, D22105. doi:10.1029/2011JD016263.

    Article  Google Scholar 

  • Soon, W. (2007). Implications of the secondary role of carbon dioxide and methane forcing in climate change: Past, present, and future. Physical Geography, 28, 97–125.

    Article  Google Scholar 

  • Soon, W. (2009). Solar Arctic-mediated climate variation on multidecadal to centennial timescales: Empirical evidence, mechanistic explanation, and testable consequences. Physical Geography, 30, 144–184.

    Article  Google Scholar 

  • Soon, W., Baliunas, S., Idso, C., Idso, S., & Legates, D. R. (2003). Reconstructing climatic and environmental changes of the past 1000 years: A reappraisal. Energy & Environment, 14, 233–296.

    Article  Google Scholar 

  • Soon, W., Baliunas, S., Idso, S. B., Kondratyev, K. Y., & Posmentier, E. S. (2001). Modeling climatic effects of anthropogenic carbon dioxide emissions: Unknowns and uncertainties. Climate Research, 18, 259–275.

    Article  Google Scholar 

  • Soon, W., Dutta, K., Legates, D. R., Velasco, V., & Zhang, W. (2011). Variation in surface air temperatures of China during the 20th century. Journal of Atmospheric and Solar-Terrestrial Physics, 73, 2331–2344.

    Article  Google Scholar 

  • Steffensen, J. P., et al. (2008). High-resolution Greenland ice core data show abrupt climate change happens in few years. Science, 321, 680–684.

    Article  Google Scholar 

  • Walsh, J. E., Chapman, W. L., & Portis, D. H. (2009). Arctic cloud fraction and radiative fluxes in atmospheric reanalyses. Journal of Climate, 22, 2316–2334.

    Article  Google Scholar 

  • Weiss, K. M. (2012). Agnotology: How can we handle what we don’t know in a knowing way? Evolutionary Anthropology, 21, 96–100.

    Article  Google Scholar 

  • Weissberg, R. (2013). The hidden costs of journal peer review. Academic Questions, 26, 157–165.

    Article  Google Scholar 

  • Wunsch, C. (2002). Ocean observations and the climate forecast problem. In R. P. Pearce (Ed.), Meteorology at the Millennium (pp. 233–245). London, United Kingdom: Academic Press.

    Chapter  Google Scholar 

  • Wunsch, C. (2010). Towards understanding the Paleocean. Quaternary Science Reviews, 29, 1960–1967.

    Article  Google Scholar 

  • Zhu, P., Hack, J. J., Kiehl, J. T., & Bretherton, C. S. (2007). Climate sensitivity of tropical and subtropical marine low clouds amount to ENSO and global warming due to doubled CO2. Journal of Geophysical Research, 112, D17108. doi:10.1029/2006JD008174.

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Demetris Koutsoyiannis for his comments and thoughts on Agnotology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David R. Legates.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Legates, D.R., Soon, W., Briggs, W.M. et al. Climate Consensus and ‘Misinformation’: A Rejoinder to Agnotology, Scientific Consensus, and the Teaching and Learning of Climate Change . Sci & Educ 24, 299–318 (2015). https://doi.org/10.1007/s11191-013-9647-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11191-013-9647-9

Keywords

Navigation