An example of my book's logic. Sally is offered a meat pizza at a price of $15 and she doesn't buy it. The next day, she is offered a meat pizza for a price of $2 and she doesn't buy it. The next day, she is offered a meat pizza for 1 penny and she doesn't buy it. We begin to deduce that Sally is a vegetarian. While we don't know Sally, we observe Sally's market choices and we learn about her. This is the the theme of my book. We take revealed preference seriously and thus are able to "reverse engineer" what must be the preferences of the consumes whose choices we observe. This is the right way to teach econ 101. Data combined with theory yields insights about diverse peoples' types.
Note that this is very different standpoint then what is usually taught in intermediate micro where I tell you Sally's preferences and budget constraint and you grind out her optimal consumption bundle using simple calculus or geometry. I argue in my 2016 book that we should solely study the "inverse problem" focused on partially identified models. What do I learn about you based on the subset of choices I observe you make?