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Using Numbers to Persuade: Hidden Rhetoric of Statistics

Author

Listed:
  • Sidika Basci

    (Ankara Yildirim Beyazit University, Turkey and EISTI, Cergy, France)

  • Nadia Hassan

    (International Islamic University, Islamabad, Pakistan)

Abstract

Philosophy of current knowledge distinguishes facts from values. It maintains that facts are objective, indisputable, universally verifiable and do not require to persuade. Since rhetoric is persuasion it is assumed to be deceptive and overlook reality. Therefore, statistics in its current form disregards rhetoric and emphasizes only numbers. It ignores meanings and interpretation of numbers that involve subjectivity and value judgements. In real world, numbers and values are entangled in a way that it becomes impossible to avoid subjectivity. So, it is used with an appearance of objectivity. We illustrate how apparently objective statistics conceal subjective choices. Most of real-world experiences cannot be reduced to numbers, but scientific approach compels us to measure everything. In the attempt to measure the unmeasurables like trust, intelligence and wealth etc.it is inevitable make subjective choices. There is no objective way to reduce multiple measures into one. In the field of economics values are involved even in seemingly indisputable numbers like GDP. It is value laden for the choice of factors, weights and their signs. Making comparisons on such measures without awareness have harmful implications for policy development. Moreover, it is also desirable to understand hidden values to avoid deception.

Suggested Citation

  • Sidika Basci & Nadia Hassan, 2020. "Using Numbers to Persuade: Hidden Rhetoric of Statistics," International Econometric Review (IER), Econometric Research Association, vol. 12(1), pages 75-97, April.
  • Handle: RePEc:erh:journl:v:12:y:2020:i:1:p:75-97
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    References listed on IDEAS

    as
    1. Rodolfo E. Manuelli & Ananth Seshadri, 2014. "Human Capital and the Wealth of Nations," American Economic Review, American Economic Association, vol. 104(9), pages 2736-2762, September.
    2. Asad Zaman, 2012. "Methodological Mistakes and Econometric Consequences," International Econometric Review (IER), Econometric Research Association, vol. 4(2), pages 99-122, September.
    3. Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 553-609.
    4. Nitzan, Jonathan & Bichler, Shimshon, 2009. "Capital as Power. A Study of Order and Creorder," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 157973, December.
    5. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    6. Asad Zaman, 2015. "Deification of science and its disastrous consequences," International Journal of Pluralism and Economics Education, Inderscience Enterprises Ltd, vol. 6(2), pages 181-197.
    7. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    8. Geraldine THIRY & Isabelle CASSIERS, 2010. "Alternative Indicators to GDP: Values behind Numbers. Adjusted Net Savings in Question," LIDAM Discussion Papers IRES 2010018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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    More about this item

    Keywords

    Data Interpretation; Wealth of Nations; Gross Domestic Product.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies

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