Individuals are exposed on a daily basis to a vast amount of contradictory and misleading information. This puts them in a position where they must distinguish between accurate information and falsehoods, claims, and fallacies that have no basis in truth, in order to make appropriate decisions. Purpose: The current study aims to uncover common logical fallacies in Egyptian society and examine the relationship between cognitive bias and logical fallacies. In addition to investigating the role of the interaction between some demographic variables (sex, age and level of education) and cognitive bias in determining the type of logical fallacies. Methodology: The participants comprised 234 participants in Egyptian society aged between 15-60 years (M=27.18, s.d=8.48) years. The participants completed Cognitive Bias Scale and Informal Logical fallacies Questionnaire. Results: The results indicate that the most common logical fallacies in Egyptian society are manipulating through distraction (58%) and Manipulating through emotions (56%), the current study also indicates that There is a positive relationship between cognitive bias and logical fallacies and there are not differences between males and females in logical fallacies. Additionally, adolescents exhibit more logical fallacies compared to adults and elderly individuals. Furthermore, individuals with lower levels of education tend to have more logical fallacies compared to those with higher levels of education. Finally, the results indicate that an interaction effect between age and anchoring bias in determining the type and level of logical fallacies, as adolescents high in anchoring bias recognized their inductive fallacy.
Published in | Social Sciences (Volume 12, Issue 6) |
DOI | 10.11648/j.ss.20231206.14 |
Page(s) | 281-293 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2023. Published by Science Publishing Group |
Cognitive Bias, Logical Fallacies, Demographic Variables, Egyptian Society
[1] | Albiansyah, A. (2021). Logical Fallacies, Critical Thinking Dispositions And Analytical Exposition Writing: Correlational Study At The Eleventh Grade Students Of SMK Bina Informatika Bintaro. Published masteral Dissertation, University of Jakarta. |
[2] | Al-Hoshi, M., Moselhi, A. & Hassan, N. (2022). Psychometric Properties Of Cognitive Bias Scale Among University Students. Journal of Education. 4(194), 743-775. |
[3] | Ali, W. & Abdo, N. (2019). Contribution Of Some Dimensions Of Cognitive Bias In Predicting Social Anxiety Among Adolescents. Fayoum University Journal of Educational and Pyschological Science. 1(12), 453-520. |
[4] | Amer, A & Zakria, E. (2021). Critical Thinking: Foundations And Skills Development. Cairo University, Cairo University Center for Integrated Education Press. |
[5] | Behimehr, S. & Jamali, H. (2020). Cognitive Biases And Their Effects On Information Behaviour Of Graduate Students In Their Research Projests. Journal of information science theory and practice. 8(2), 18-31. |
[6] | Blanco, F. (2017). Cognitive Bias In J. Vonk & T. K Shackelford (Eds.). Encyclopedia of Animal Cognition and Behavior (pp. 1-8). University of granada, Springer International Publishing. |
[7] | Covino, F. (2013). Cognitive Distortions And Gender As Predictors Of Emotional Intelligence. Published doctorial Dissertation, Northcentral University. |
[8] | Elfiel, H. (2019). Modern Educational Variables On The Arab Environment. Cairo, Anglo Egyptian Library. |
[9] | Ferreira da cunha, E., Tiburcio Silva, C. & Gomes, Y. (2021). The Influence Of Cognitive Ability On Cognitive Biases Generated By The Representativeness Heuristic. Revista Brasileira de Gestao de Negocios. 23(1), 180-205. |
[10] | Festinger, L. (1957). A Theory Of Cognitive Dissonance. Stanford University Press. |
[11] | Fouad, H. (2020). Modeling The Causal Relationships Between Emotional Intelligence, Cognitive Bias And The Decision - Making For A Sample Of University Students. Educational Journal - Sohag University. 76, 2407-2453. |
[12] | Gaag, M., Schutz, C., Napel, A. & Landa, Y. (2013). Development Of The Davos Assessment Of Cognitive Biases Scale (DACOBS). Schizopheria Resreach. 144(1-3), 63-71. |
[13] | Gamal, Z. & Reshan, H. (2020). Confirmation Bias Among University Students. Basra Research Journal for Human Sciences. 45(1), 243-283. |
[14] | Hakkinen, A. & Kiikeri, M. (2022). Cognitive Miserliness In Argument Literacy? Effects On Intuitive And Analytica Thinking On Recognizing Fallacies. Judgement and Decision Making. 17(2), 331-261. |
[15] | Irwin, W. & Bassham, G. (2003). Depression, Informal Fallacies, and Cognitive Therapy: The Critical Thinking Cure?. Spring. 21(3), 15-21. |
[16] | Jin, Z., Lalwani, A., Vaidhya, T., Shen, X., Ding, Y., Lyu, Z., Sachan, M., Mihalcea, R., Scholkopf, B. (2022). Logical Fallacy Detection. Http://github.com/causalvlp/logical fallacy.com. |
[17] | Korteling, J., Brouwer, A. & Toet, A. (n.d). A Neuroscientific Perspective On Cognitive Bias. http://osf.io/fme3s/download/?version=3&displayname=neuro_Evolutionary_Bias_28_2017_11_11T12%Pdf. |
[18] | Koszowy, M. (2003 May). On The Concept Of Logical Fallacy And Logical Error. A paper commissioned for the OSSA Conference Archive. University of Windsor. |
[19] | Muthusamy, G. & Cheng, K. (2020). The Rational – Irrational Dialectic With The Moderating Effect Of Cognitive Bias In The Theory Of Planned Behavior. European Journal of Molecular & Clinical Medicine. 7(3), 240-250. |
[20] | Mutlaq, F. (2019). Academic Self-Efficacy And Its Relation To Cognitive Biases Among University Students. Journal of the College of Education - Al-Mustansiriya University. 6, 255-286. |
[21] | OpenAI. (2023). ChatGPT (May 3.5) [large language model]. http;//chat.openai.com/chat. |
[22] | Petric, D. (2020). Logical Fallacies. Https://doi.org/10.13140/RG.2.2.24781.18401/1. |
[23] | Ramasamy, S. & Ping, F. (2015 October). An Analysis Of Informal Reasoning Fallacy And Critical Thinking Dispositions Among Malaysian Undergraduates. A paper commissioned for the AEU International Research conference on Asia university. |
[24] | Ricco, R. (2007). Individual Differences In The Analysis Of Informal Reasoning Fallacies. Contemporary Educational Psychology. 32, 459-484. |
[25] | Rydberg, J. (2017). Research And Clilcal Issues In Trauma And Dissociation: Ethical And Logical Fallacies, Myths, Misreports And Misrepresentations. European Journal Of Trauma And Dissociation. 1, 89-99. |
[26] | Serfas, S. (2011). Theoretical foundations of cognitive biases In Gabler Verlag (Ed.). Cognitive Biases In The Capital Investment Context (pp39-94). Springer fachmedien wiesbaden. |
[27] | Shada, D. (2022). The Relatinship Between Cognitive Bias And The Ability To Solve Problems Among University Students In The Light Of Some Variables. Faculty of Education Journal. 37, 457-486. |
[28] | Tarnoff, J. (2010). An Investigation Of The Role Of Confirmation Bias In The Evaluation Of Informal Reasoning Fallacies. Published doctorial Dissertation, Temple University graduate board. |
[29] | Tversky, A. & Kahneman, D. (1974). Judgement Under Uncertainty: Heuristics And Bias. Science. 185(4157), 1124-1131. |
[30] | Suzuki, A., Megumi, A. & Yasumura, A. (2021). Developmental Change in Cognitive Bias. Psychology, 12, 293-303. |
APA Style
Abd-Eldayem, R. M. A. (2023). The Relationship Between Cognitive Bias and Logical Fallacies in Egyptian Society. Social Sciences, 12(6), 281-293. https://doi.org/10.11648/j.ss.20231206.14
ACS Style
Abd-Eldayem, R. M. A. The Relationship Between Cognitive Bias and Logical Fallacies in Egyptian Society. Soc. Sci. 2023, 12(6), 281-293. doi: 10.11648/j.ss.20231206.14
AMA Style
Abd-Eldayem RMA. The Relationship Between Cognitive Bias and Logical Fallacies in Egyptian Society. Soc Sci. 2023;12(6):281-293. doi: 10.11648/j.ss.20231206.14
@article{10.11648/j.ss.20231206.14, author = {Rehab Mohamed Ahmed Abd-Eldayem}, title = {The Relationship Between Cognitive Bias and Logical Fallacies in Egyptian Society}, journal = {Social Sciences}, volume = {12}, number = {6}, pages = {281-293}, doi = {10.11648/j.ss.20231206.14}, url = {https://doi.org/10.11648/j.ss.20231206.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.20231206.14}, abstract = {Individuals are exposed on a daily basis to a vast amount of contradictory and misleading information. This puts them in a position where they must distinguish between accurate information and falsehoods, claims, and fallacies that have no basis in truth, in order to make appropriate decisions. Purpose: The current study aims to uncover common logical fallacies in Egyptian society and examine the relationship between cognitive bias and logical fallacies. In addition to investigating the role of the interaction between some demographic variables (sex, age and level of education) and cognitive bias in determining the type of logical fallacies. Methodology: The participants comprised 234 participants in Egyptian society aged between 15-60 years (M=27.18, s.d=8.48) years. The participants completed Cognitive Bias Scale and Informal Logical fallacies Questionnaire. Results: The results indicate that the most common logical fallacies in Egyptian society are manipulating through distraction (58%) and Manipulating through emotions (56%), the current study also indicates that There is a positive relationship between cognitive bias and logical fallacies and there are not differences between males and females in logical fallacies. Additionally, adolescents exhibit more logical fallacies compared to adults and elderly individuals. Furthermore, individuals with lower levels of education tend to have more logical fallacies compared to those with higher levels of education. Finally, the results indicate that an interaction effect between age and anchoring bias in determining the type and level of logical fallacies, as adolescents high in anchoring bias recognized their inductive fallacy. }, year = {2023} }
TY - JOUR T1 - The Relationship Between Cognitive Bias and Logical Fallacies in Egyptian Society AU - Rehab Mohamed Ahmed Abd-Eldayem Y1 - 2023/11/30 PY - 2023 N1 - https://doi.org/10.11648/j.ss.20231206.14 DO - 10.11648/j.ss.20231206.14 T2 - Social Sciences JF - Social Sciences JO - Social Sciences SP - 281 EP - 293 PB - Science Publishing Group SN - 2326-988X UR - https://doi.org/10.11648/j.ss.20231206.14 AB - Individuals are exposed on a daily basis to a vast amount of contradictory and misleading information. This puts them in a position where they must distinguish between accurate information and falsehoods, claims, and fallacies that have no basis in truth, in order to make appropriate decisions. Purpose: The current study aims to uncover common logical fallacies in Egyptian society and examine the relationship between cognitive bias and logical fallacies. In addition to investigating the role of the interaction between some demographic variables (sex, age and level of education) and cognitive bias in determining the type of logical fallacies. Methodology: The participants comprised 234 participants in Egyptian society aged between 15-60 years (M=27.18, s.d=8.48) years. The participants completed Cognitive Bias Scale and Informal Logical fallacies Questionnaire. Results: The results indicate that the most common logical fallacies in Egyptian society are manipulating through distraction (58%) and Manipulating through emotions (56%), the current study also indicates that There is a positive relationship between cognitive bias and logical fallacies and there are not differences between males and females in logical fallacies. Additionally, adolescents exhibit more logical fallacies compared to adults and elderly individuals. Furthermore, individuals with lower levels of education tend to have more logical fallacies compared to those with higher levels of education. Finally, the results indicate that an interaction effect between age and anchoring bias in determining the type and level of logical fallacies, as adolescents high in anchoring bias recognized their inductive fallacy. VL - 12 IS - 6 ER -