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Social science has uncovered many fascinating aspects of human behavior, from how we think as individuals to how we act in groups. We know that humans are loss averse, emotional, habit-forming creatures. We mispredict the future and misremember the past. And yet, what social science is missing is a better understanding of how these phenomena (and others) change over time, in different cultures and regions, across gender and age. By collecting a heaping amount of data (and increasing the size of our samples), we hope to unravel nuances in behavioral variations; we hope to detect the impact of minor differences that simply wouldn’t appear in aller samples. The pursuit of this app is to collect an abundance of data from an abundance of locations all over the world, shining light on behavioral similarities and differences, from Antarctica to Zimbabwe. To do this, we need your help! Join our team of artphone scientists and take on all tasks that will be “pushed” to you through the app.On some occasions, you’ll be asked to give your opinion about various topics; you may be asked to predict the outcome of an experiment or to record your thoughts on anything from wealth distribution to peer influence. On other occasions, you’ll be sent out into the world to collect data; you may be asked to interact with a stranger or observe a scene and record certain details. Prepare to be surprised and delighted by the exciting research you will be a part of.Brought to you by Dan Ariely and the Center for Advanced Hindsight, “(Sample) Size Matters” asks anyone with a artphone or iPad to participate in a movement that transcends oceans and cultural barriers, gaining access to a wider range of information than ever before. Download the app now, and get started on your first mission!How it Works:- create an account- complete your first mission by following the instructions in the app- sit back and wait for the next mission to be pushed to you, and make sure to complete it before time runs out!- keep track of your missions and your points earned for each experiment.
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