<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/f61379e27d454de3b2245230b5879e32&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f61379e27d454de3b2245230b5879e32-33afa5bdeac07cba.gif</thumbnail_url><duration>144.621</duration><title>Lecture 1 - 1.1</title><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 &quot;what-if&quot; 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.</description></oembed>