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Our commonly used frequentist statistics tell us the likelihood to have randomly drawn our particular random dataset at hand, if in reality the null-hypothesis was true. This is quite complicated and so it comes at no surprise that we often falsely interpret these inferential statistics as the likelihood that the null-hypothesis is true, or even worse that a statistically significant finding is highly likely to be true. But is it not possible to infer the likelihood of our findings given the data rather than the likelihood of our data given the findings?

Health care systems vary across multiple domains, including financing, delivery of services and access. While it is possible to evaluate health care systems in different ways, one of the most important aspect is how users of services evaluate their health care system and whether they consider their health needs to be met in satisfactory manner. As all citizens in a country are past, or at least potential users of services, we argue that public attitudes provide an important window into the general cultural climate of satisfaction, or lack therefore, with the health care system.

This talk provides an overview of the range of responses to the spread of precarious work in industrial countries. It first summarizes what is meant by precarious work and presents some data on its growth in various countries in recent years. It then reviews some of the actions taken by unions and different social movements in response to the spread of precarious work. Next, an array of social welfare policies and labor laws that have been enacted by governments to address the growing concerns over precarious work and its consequences will be discussed.