Matt Kaplan
๐ค SpeakerAppearances Over Time
Podcast Appearances
So we don't want to abandon what we've got.
But what we want to do is make sure that the scientists who are not the Galileos, who don't have the master diplomacy, the scientists who are not the Machiavellian fiends like Pasteur,
We want to make sure the people with the great ideas who don't have the skill set to take their ideas further still get the attention that they need.
Because we've got some really big problems on this planet.
And we need every good mind to be at our disposal to solve them.
And just removing someone from the options because they don't speak loudly enough or are not diplomatic enough is an issue.
And part of that comes down to scientists.
We've got to work with scientists to better...
have them better communicate what they're on about, but it also is about the public and it's about journalists.
Journalists have, science journalists in particular, have a tremendous responsibility to not just say, hey, look what was discovered, but to say, this scientist wondered this,
They did this to find out, and look what they discovered as a result.
You've got to tell the story so the public understands.
During the pandemic, science's process was exposed in some pretty big ways.
The debate that occurs in science, which is part of science, was exposed to a lot of people who didn't know it existed, and it left a lot of people doubting.
And we've got to do a lot of catch up here to make sure that everyone understands how science works.
The newspaper I've spent my entire adult life writing for has forever argued against the phrase laws and sausages.
You never want to hear how they're made because they're both disgusting.
The economist has argued that you gotta, you gotta talk about how laws are made to have a healthy democracy.
And I, I think we have to do the same thing with science.
We have to talk about how it's being run so that the public understands that debate and questioning and replication, and then discovering when the replication reveals that an initial experiment was invalid, that that's okay.