This is a HeadGum Podcast. I don't know what to think

I don't know what to say

you're the dance of my

yeah that's all right

and don't get okay

I don't care. Hey, I don't know anything.

Hey, everybody. Hey everybody, welcome to Factually. I'm Adam Conover,

and, you know, we all trust technology far too much. We know that humans are

fallible screwed up animals but somehow we've all come to believe that once something's

done with an algorithm or a satellite or if math is

involved then that means it must be accurate, neutral, and unquestionable. You know we

might not know what machine learning actually is, but hey it's got machine right there in the name, right?

So that means it must work.

And blockchain, I don't even know what it is, but that's not going to stop me from shoving all my money into it. We've all

come to believe that the mere presence of complex math assures accuracy and

that technology has an authority that we should respect if not obey. But the truth is that technology,

the end of the day, isn't just made by fallible humans, it's also used by fallible humans,

us, and the mistake, the foul, if you will. so used by fallible humans, us.

And the mistake, the foul, if you will,

that we're all making is that we trust technology far too much.

Take fitness trackers, like your Fitbit.

Fitbit's use sensors to calculate the distance you travel,

...