Disability Data Discourse in Australia

  Abstract: Disability data analysis among ethnically diverse communities poses significant challenges due to potential fallacies related to causality and coincidence. This paper examines these fallacies and provides recommendations for avoiding them. The paper argues that assumptions of a direct causal relationship between ethnicity and disability or reverse causality can lead to ineffective policies, while spurious correlation can obscure important variations within and between ethnic communities. To avoid these fallacies, it is essential to use rigorous statistical methods to identify causal relationships and account for confounding variables. By taking a comprehensive and evidence-based approach to disability data analysis, policies can be developed that effectively address the needs of ethnically diverse communities. Keywords: Disability data analysis, ethnically diverse communities, causality, coincidence, fallacies, policies. Introduction: Ethnicity can play a significant ro...

  Under the Worker Screening Act 2020 and the Child Protection (Working with Children) Act 2012 in Australia, individuals engaged in child-related work are required to obtain a Working with Children Check (WWCC) if their work involves direct or indirect contact with children [[1](Working with Children Check: Valid for? 5 years: Who is required to obtain a check? All individuals engaged in child-related work)]. It is illegal to engage anyone who is 18 years or older in child-related work without a current WWCC, and obtaining one for a false declaration is also illegal [[1](Not everyone who has contact with children needs a Working with Children Check)]. However, not all individuals who have contact with children need to obtain a WWCC, only those who are doing child-related work and are not otherwise exempt under the Act [[1](Not everyone who has contact with children needs a Working with Children Check)]. In addition to the legal requirements, organizations may also have their ow...