Publications | Max Planck Institute for Human Development

Max Planck Institute for Human Development

Journal Article (913)

2017

Journal Article

Gigerenzer, G. (2017). Digital risk literacy: Technology needs users who can control it. Scientific American, February 25.

(Is part of Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., van den Hoven, J., Zicari, R. V., & Zwitter, A.: Will democracy survive Big Data and Artificial Intelligence? Scientific American, February 25, 2017)
(Reprinted in Towards digital enlightenment: Essays on the dark and light sides of the digital revolution, pp. 73-98, by D. Helbing, Ed., 2018, Cham: Springer.) .

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Gigerenzer, G. (2017). Can search engine data save lives from pancreatic cancer? BMJ Opinion, June 6.

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Gigerenzer, G. (2017). A theory integration program. Decision, 4(3), 133–145. https://doi.org/10.1037/dec0000082

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Gigerenzer, G. (2017). Can search engine data predict pancreatic cancer? BMJ, 358, Article j3159. https://doi.org/10.1136/bmj.j3159

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Gigerenzer, G., & García-Retamero, R. (2017). Cassandra's regret: The psychology of not wanting to know. Psychological Review, 124(2), 179–196. https://doi.org/10.1037/rev0000055

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Gigerenzer, G., & Gray, W. D. (2017). A simple heuristic successfully used by humans, animals, and machines: The story of the RAF and Luftwaffe, hawks and ducks, dogs and frisbees, baseball outfielders and sidewinder missiles - oh my! Topics in Cognitive Science, 9(2), 260–263. https://doi.org/10.1111/tops.12269

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Gigerenzer, G., & Kolpatzik, K. (2017). How new fact boxes are explaining medical risk to millions. BMJ, 357, Article j2460. https://doi.org/10.1136/bmj.j2460

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Gigerenzer, G., & Kolpatzik, K. (2017). Authors' reply to Workman. BMJ, 358, Article j3281. https://doi.org/10.1136/bmj.j3281

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Hoffmann, J. A., Gaissmaier, W., & von Helversen, B. (2017). Justifying the judgment process affects neither judgment accuracy, nor. Judgment and Decision Making, 12(6), 627–641.

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Hozo, I., Djulbegovic, B., Luan, S., Tsalatsanis, A., & Gigerenzer, G. (2017). Towards theory integration: Threshold model as a link between signal detection theory, fast-and-frugal trees and evidence accumulation theory. Journal of Evaluation in Clinical Practice, 23(1), 49–65. https://doi.org/10.1111/jep.12490

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Hutchinson, J. M. C., Reise, H., & Skujiene, G. (2017). Life cycles and adult sizes of five co-occurring species of Arion slugs. Journal of Molluscan Studies, 83(1), 88–105. https://doi.org/10.1093/mollus/eyw042

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Jacobs, P., & Viechtbauer, W. (2017). Estimation of the biserial correlation and its sampling variance for use in meta-analysis. Research Synthesis Methods, 8(2), 161–180. https://doi.org/10.1002/jrsm.1218

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Jenny, M. A. (2017). Improving risk literacy. HealthManagement.org: The Journal, 17(4), 278–279.

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Keller, N., Feufel, M. A., Kendel, F., Spies, C. D., & Gigerenzer, G. (2017). Training medical students how to extract, assess and communicate evidence from an article. Medical Education, 51(11), 1162–1163. https://doi.org/10.1111/medu.13444

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Krämer, W., Bauer, T., & Gigerenzer, G. (2017). Viel Lärm um nichts, oder: Was tun gegen das Innumeratentum. Editorial. Biospektrum, 23(6), 615–615. https://doi.org/10.1007/s12268-017-0844-y

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Krisam, M., Von Philipsborn, P., & Meder, B. (2017). Nudging in der Primärprävention: Eine Übersicht und Perspektiven für Deutschland. Gesundheitswesen, 79(2), 117–123. https://doi.org/10.1055/s-0042-121598

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Luan, S., & Reb, J. (2017). Fast-and-frugal trees as noncompensatory models of performance-based personnel decisions. Organizational Behavior and Human Decision Processes, 141, 29–42. https://doi.org/10.1016/j.obhdp.2017.05.003

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Lux, T., Breil, B., Dörries, M., Gensorowsky, D., Greiner, W., Pfeiffer, D., Rebitschek, F. G., Gigerenzer, G., & Wagner, G. G. (2017). Digitalisierung im Gesundheitswesen: Zwischen Datenschutz und moderner Medizinversorgung. Wirtschaftsdienst, 97(10), 687–703. https://doi.org/10.1007/s10273-017-2200-8

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McDowell, M., & Jacobs, P. (2017). Meta-analysis of the effect of natural frequencies on Bayesian reasoning. Psychological Bulletin, 143(12), 1273–1312. https://doi.org/10.1037/bul0000126

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Meder, B., & Mayrhofer, R. (2017). Diagnostic causal reasoning with verbal information. Cognitive Psychology, 96, 54–84. https://doi.org/10.1016/j.cogpsych.2017.05.002

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