Hank begins a series of videos on organ systems with a look at the nervous system and all of the things that it is responsible for in the body.

Hank and his brother John discuss heredity via the gross example of relative ear wax moistness.

In our series finale, we're going to take a look at some of the times we've used statistics to gaze into our crystal ball, and actually got it right! We'll talk about how stores know what we want to buy (which can sometimes be a good thing), how baseball was changed forever when Paul DePodesta created a record-winning Oakland A's baseball team, and how statistics keeps us safe with the incredible strides we've made in weather forecasting. Statistics are everywhere, and even if you don't remember all the formulae and graphs we've thrown at you in this series, we hope you take with you a better appreciation of the many ways statistics impacts your life, and hopefully we've given your a more math-y perspective on how the world works. Thanks so much for watching DFTBAQ!

Do you think a red minivan would be more expensive than a beige one? Now what if the car was something sportier like a corvette? Last week we introduced the ANOVA model which allows us to compare measurements of more than two groups, and today we’re going to show you how it can be applied to look at data that belong to multiple groups that overlap and interact. Most things after all can be grouped in many different ways - like a car has a make, model, and color - so if we wanted to try to predict the price of a car, it’d be especially helpful to know how those different variables interact with one another.

Welcome to Crash Course Statistics! In this series we're going to take a look at the important role statistics play in our everyday lives, because statistics are everywhere! Statistics help us better understand the world and make decisions from what you'll wear tomorrow to government policy. But in the wrong hands, statistics can be used to misinform. So we're going to try to do two things in this series. Help show you the usefulness of statistics, but also help you become a more informed consumer of statistics. From probabilities, paradoxes, and p-values there's a lot to cover in this series, and there will be some math, but we promise only when it's most important. But first, we should talk about what statistics actually are, and what we can do with them. Statistics are tools, but they can't give us all the answers.

We’ve mentioned already that there’s a lot of money in media and a huge chunk of that money is spent on trying to get you to do something – buy something, vote a certain way, change a behavior. How does advertising work? And what’s the difference between advertising, public relations, and propaganda? We’re going to talk about all that and more today.

We're going to finish up our discussion of p-values by taking a closer look at how they can get it wrong, and what we can do to minimize those errors. We'll discuss Type 1 (when we think we've detected an effect, but there actually isn't one) and Type 2 (when there was an effect we didn't see) errors and introduce statistical power - which tells us the chance of detecting an effect if there is one.

Today we're going to discuss how machine learning can be used to group and label information even if those labels don't exist. We'll explore two types of clustering used in Unsupervised Machine Learning: k-means and Hierarchical clustering, and show how they can be used in many ways - from book suggestions and medical interventions, to giving people better deals on pizza!

We’ve seen and discussed the ways in which the rapid pace of technological change has affected the media literacy landscape, and it’s clear that change isn’t slowing down. How will those changes affect the future of media literacy? How can we make the skills we’ve discussed over this course transferable to future media & technology?

Just how small are nanomaterials? And what can we do with stuff that small? Today we’ll discuss some special properties of nanomaterials, how some can change at different sizes, and the difference between engineered nanomaterials and ones that occur naturally. We’ll also talk about some of the future research that’s needed on the use of nanomaterials.

We’ve talked about many important concepts for engineers, but today we’re going to discuss a hugely important one that you might not even realize is an engineering concept: ethics. We’ll talk about what a Code of Ethics is. We’ll explore engineering ethics and the ethical theories of utilitarianism, rights ethics, and duty ethics. We’ll also take a look at a few different real life examples of ethical problems in engineering.

A lot of work goes into managing our impact on the environment and its impact on us. That work is the work of environmental engineers. In this episode we’ll explore water quality, air quality, noise pollution, waste management, and more.

Cycles are a big deal in engineering. Today we’ll explain what they are and how they’re used in heat engines, refrigerators, and heat pumps. We’ll also discuss phase diagrams and the power of using renewable energy resources

In this episode we looked at robots and the engineering principles of robots. We learned how robots use sensors to interpret their environment, how actuators and effectors allow a robot to manipulate the objects around it to accomplish a task, and how computers coordinate the efforts of the two.

This week we’re exploring aerospace engineering and its two main fields: aeronautical engineering and astronautical engineering. We’ll explore life & buoyancy, propulsion systems, and the challenges of managing the human body in space.

How do we design the most efficient machines and processes? Today we’ll try to figure that out as we discuss heat & work, reversibility & irreversibility, and how to use efficiency to measure a system.

We’re continuing our discussion of nineteenth-century American theater with a look at some upsetting parts of the US's theatrical past. In the nineteenth century, race and racism contributed to a unique and troubling performance culture, which helped create and spread racist stereotypes that are still with us today.

And just - to be super clear - the stuff we’re talking about in this episode is … tough. The images are upsetting, and much of the language is … fraught, to put it lightly. So, just an up front content warning, so you know what’s coming up.

The 1930s in the United States were pretty bad for employment in all industries, and the theater was no exception. As part of Roosevelt's New Deal, the Works Progress Administration created a division called the Federal Theatre Project. The agency created theater companies across the country to put actors and crew back to work in the theater industry. The shows were free, and thanks to forward thinking administrators, a lot of them were pretty interesting. You'll also learn about the Group Theatre today. They're the super-influential troupe, with the totally lame name.

It's time to go Back...to the Future. By which I mean, we're going back into the past to talk about Futurism. Which seems like it would be cool, but it was started by this terrible guy Martinetti, who also wrote the Italian Fascist manifesto. He was just the worst, but, at least he was the worst in a way that makes a pretty compelling video.
We'll also check in with the Russian theater, and learn about generally nicer Futurist Vsevolod Meyerhold, who also was vey influential in constructivism. So get ready to fire up the meaning machine and learn!

As we get into our unit on stratification, we inevitably return to our old friends, the three sociological paradigms. How to structural functionalism, social conflict theory, and symbolic interactionism each think about stratification? How does ideology and help stratification reproduce itself? What did Marx and Weber have to say about all of this? And at the micro level, how does stratification work in everyday life?