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Social scientists have increasingly turned to the experimental method to understand human behaviour. One critical issue that makes solving social problems difficult is scaling up the idea from a small group to a larger group in more diverse situations. The urgency of scaling policies impacts us every day, whether it is protecting the health and safety of a community or enhancing the opportunities of future generations. Yet, a common result is that, when we scale up ideas, most experience a ‘voltage drop’—that is, on scaling, the cost–benefit profile depreciates considerably. Here I argue that, to reduce voltage drops, we must optimally generate policy-based evidence. Optimality requires answering two crucial questions: what information should be generated and in what sequence. The economics underlying the science of scaling provides insights into these questions, which are in some cases at odds with conventional approaches. For example, there are important situa ....
If you search the web or look in introductory science textbooks, you will find the hypothetico-deductive (H-D) method often depicted as the scientific method. However, the H-D method is inadequate as a description of the scientific method, especially when it comes to assessing pseudoscientific or other dubious claims. An alternative to the H-D method more […] ....
Major social media and technology companies continue to make algorithmic, user interface, and policy changes to their products to address information integrity challenges on their platforms. ....