Abstract

The Sri Lankan Journal of Applied Statistics(SLJAS) is an open-access, international, double-blind peer-reviewed journal published by the Institute of Applied Statistics, Sri Lanka (IASSL). The main purpose of the journal is to publish the results of original work on applications of Statistics and on theoretical and methodical aspects of Statistics. The journal also welcomes critical reviews including conceptual discussions, opinions and book reviews. Applications of Statistics in the area of Agriculture & Forestry, Medical, Dental and Veterinary Sciences, Natural, Physical Sciences, Social Sciences, Economics and Actuarial Science fall within the scope of the journal. This journal does not charge any fee for article processing and submission.

Highlights

  • Statistics is a platform for the data to speak out

  • Misleading information conveyed through misleading statistics used purposely or without knowledge can lead to miscommunication and poor/incorrect decisions

  • Amongst the various statistics utilized to date by various governing/non-governing bodies and the general public, a plenty of misleading statistics have been released/used intentionally or not

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Summary

Introduction

Statistics is a platform for the data to speak out. In other words, it provides information for decision making based on data. Among all the situations where statistics have misled the viewers/readers, COVID- 19 outbreak is the latest instance where numerous statistical misrepresentations are utilized and concepts are misinterpreted by various governing and nongoverning bodies such as media institutions. According to Pennycook et al (2020), giving regular prompts by various mass media platforms on the idea of accuracy might be enough to enhance people’s sharing decisions related to COVID-19 information and ease the volume of misinformation on the virus. This article attempts to review and provide constructive criticism on such instances of misleading statistics established/published throughout the COVID-19 pandemic to date

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