{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f61379e27d454de3b2245230b5879e32\" frameborder=\"0\" width=\"1114\" height=\"835\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":835,"width":1114,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":835,"thumbnail_width":1114,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f61379e27d454de3b2245230b5879e32-33afa5bdeac07cba.gif","duration":144.621,"title":"Lecture 1 - 1.1","description":"In this video, I discuss the differences between causality and causal inference using a simple example of an itchy bump I noticed on my hand. I explore potential causes, such as a mosquito bite or an allergic reaction to a plant, which are directly related to my time spent outside. I then shift to causal inference by asking what would have happened if I had used insect repellent instead, highlighting the essence of estimating effects through \"what-if\" questions. I encourage viewers to think critically about the causes behind outcomes and the implications of their choices. Please reflect on these concepts as they are fundamental to understanding our decision-making processes."}