Episode Summary: Olabanji and Jeremy are joined by Hannah Ritchie, a Data Scientist and the Deputy Editor and Lead Researcher from Our World in Data, a non-profit focused on uncovering facts about the world's most pressing issues.
Hannah is also a TED speaker and a writer.
In this episode, we delve into Hannah’s book, "Not the End of the World - How We Can Be the First Generation to Build a Sustainable Planet", a guide for understanding and addressing global environmental challenges.
Hannah shares how she merges her love for science and writing to explore and explain complex issues through data.
We dive into intriguing topics like the true impact of palm oil, the surprising benefits of electric vehicles in cold climates, and how we can address multiple environmental problems with singular solutions.
Her insights provide a deeper understanding of sustainability, debunking myths, and highlighting the importance of a data-driven approach to environmental issues.
So tune in, as Hannah Ritchie helps us navigate through rumors and facts, bringing clarity to our collective mission for a sustainable future.
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For more information on the project and to order your copy of the Carbon Almanac (one of Amazon best-selling books of the year!), visit thecarbonalmanac.org
Want to join in the conversation?
Visit thecarbonalmanac.org/podcasts and send us a voice message on this episode or any other climate-related ideas and perspectives.
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https://thecarbonalmanac.org/
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Featuring Carbon Almanac Contributors Olabanji Stephen and Jeremy Côté.
Olabanji is from Lagos Nigeria. He’s a Creative Director and visual designer that helps brands gain clarity, deliver meaningful experiences and build tribes through Design & Strategy. He founded Jorney - a community designed to help people stay productive, accountable, and do their best work.
Jeremy is a scientist, an athlete, a coach, and a writer from Québec, Canada.
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The CarbonSessions Podcast is produced and edited by Leekei Tang, Steve Heatherington and Rob Slater.
Hi, I'm Christina.
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:I'm from Prague.
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:Hi, I'm Jen, and I'm from Canada.
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:Hi, I'm Oladunji, and I'm from Nigeria.
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:Hello, I'm Liki, and I live in Paris.
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:Hi, I'm Brian, and I'm from New York.
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:Welcome to Carbon Sessions, a podcast with
Carbon Conversations for every day, with
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:everyone, from everywhere in the world.
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:In our conversations, we share ideas.
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:perspectives, questions, and things we
can actually do to make a difference.
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:So don't be shy and join our Carbon
Sessions because it's not too late.
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:Hi, I am Ola Bungie.
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:Hey, I'm Jeremy.
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:Hi, I'm Hanna.
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:All right.
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:And this is Carbon Sessions.
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:So here at the Carbon Almanac
Network, one of our key ideas.
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:Both behind the book and the community
is that to really create change, we
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:need to have useful conversations and
useful conversations requires knowing the
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:facts of whatever you're talking about.
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:So today we have, uh, we have a
guest who thinks, writes about and
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:excavates those facts for living.
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:So we have Hannah Ritchie here from our
world in data, a nonprofit dedicated
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:to publishing research and data to make
progress on the world's greatest problems.
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:So.
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:Outside of Our World in
Data, Hannah also does a lot.
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:She's given a TED talk this summer.
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:She, uh, she's been writing
a book, which we'll get into.
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:And she's also writing a, uh, weekly
ish newsletter, which is really great.
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:I highly recommend it.
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:I've Read all of these, uh,
all of these new dispatches.
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:So first, Hannah, I want to say
congratulations on the announcement
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:last week from Vox for being
part of the future perfect 50.
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:It was really cool to see you with all
of the, all of the others in the cohort.
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:No, thank you very much.
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:Yeah, it was a big surprise to me as well.
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:Like they tell you like a day
before, Hey, you're going to be
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:announced tomorrow as on this list.
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:So yeah, it was a great privilege.
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:And there's like other amazing people
on the list, especially on like climate
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:stuff, um, that I really admire.
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:So it's like a pleasure
to be next to them.
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:Yeah, yeah, no, it's like I was just like
reading some of the people on the list.
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:And yeah, it was like a really,
really cool, like suite of people
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:doing, uh, doing really great stuff.
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:Okay.
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:So I wanted to start off this conversation
really about the, the book that you've
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:been writing and getting ready to
publish, uh, in about a month from now.
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:And what I wanted to ask you is this book,
it's called not the end of the world.
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:It's a book that you wrote kind of for.
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:For others, but also for a younger
version of yourself, you wrote that
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:it's like the, it's the book that you
wish you had when you were younger.
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:So what I wanted to ask at the
beginning is just when did this
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:book start percolating within you?
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:Was it something that like, when you
were younger, you're like, okay, I,
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:I wanted to write something and then
you didn't really know what shape it
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:was going to take, or did it just come
more like within the last few years?
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:Yeah, so I think I've always loved books.
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:I've always liked reading, I've
always loved writing, and I think
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:when I was younger I always saw that
maybe someday I would write a book.
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:That was kind of the dream.
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:And I think even when I was deciding,
like, when you get to that fork in the
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:road, like, after school and going to
university, I think there was two paths.
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:One, I could go down a very
scientific path, or the other was
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:I was really interested in writing.
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:I could see myself maybe being,
like, I don't know, like a
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:science journalist or something.
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:So, like, I also had this And I tried to
decide, like, should I go for the science
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:degree and then do writing on the side?
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:Or should I go for the journalism degree
and try to learn science on the side?
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:And I decided I should go the science
route and then try to just, um, enhance
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:my writing skills along the way.
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:So, yeah, I've always
had an interest in this.
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:I think that It came down to when was
like the right time to write the book.
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:And I think, I think I had this kind
of brewing for maybe a decade or so.
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:Um, and I think it was, I, once I started
writing it, I could feel like, I think
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:this is like the, the right time where I,
I feel like I've built up enough knowledge
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:and, and building the narrative around
it that I can, I can produce like a.
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:A good book here, um, whereas I
think if I tried to do it a few years
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:earlier, I maybe could have produced
an okay book, but I think it wouldn't
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:had, have had like the full, uh, kind
of narrative enveloped around it.
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:So I felt like this was like
the right time to go for it.
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:Yeah, totally.
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:And like one of the, like one of the
things I noticed while reading, reading
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:the book is that you aren't just,
you do infuse bits and pieces of your
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:own journey within, within the book.
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:But really it's a, it's a book
about facts, a book about data,
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:a book about long term trends.
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:And like you were saying, it's probably
a good Testament that you waited for
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:a while before writing this book.
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:So you can really amass all of this.
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:All of this knowledge because you tackle
like a wide range of topics, right?
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:Like you were tackling a lot of the
big problems within sustainability,
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:but this like touches on many
different aspects of our world.
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:Yeah.
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:So every chapter is a different
environmental problem.
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:So actually climate surprisingly
is just one, one chapter.
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:And then there's air
pollution, deforestation food.
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:There's like seven different.
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:problems.
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:I think the key point is that they
tend to all interweave together.
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:So they're, they're not like, it's
not as if we're tackling seven
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:completely different problems and
we need 50 different solutions
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:for these seven problems.
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:I think the, the solutions
often interconnect to one
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:another, but yeah, I think.
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:I think a key part of this process was I
didn't, when I, when I started researching
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:this stuff, like maybe like five, ten
years ago, I never ever came into these
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:questions like knowing the answer.
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:It's been a journey of, I have this
question, I'm sure other people also have
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:this question, what does the data and
research tell us in a pretty objective
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:way, like trying to put the kind of
subjective moral lens aside and to
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:say, like, what does the data actually
tell us about what's happening to CO2
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:emissions or deforestation or plastics?
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:And, and that kind of curiosity really
spurred me to, to try and find the
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:answers and then try to explain them.
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:But I think if I publish it a few
years earlier, I, I don't think I
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:would have had the complete package and
probably I would have got stuff wrong.
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:Yeah, for sure.
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:Uh, this, this makes total sense.
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:Can you, do you have like some examples
where you have come across some piece
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:of research or some data where like
it really kind of went against what
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:you would have guessed going in?
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:Yeah.
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:I think one of the key examples
there, um, Is palm oil.
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:So I did a big project for our
own data looking at deforestation.
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:And I think I, I had in my head,
like most people have in their
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:heads, is that palm oil is evil.
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:If we want to stop deforestation,
we need to stop producing palm oil.
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:And that's kind of the, the
framing I had into my head when
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:I went into doing the topic.
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:And then kind of my perspective
on that was turned a lot just by
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:looking at the data and research and
what experts were saying on this.
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:I would have thought the solution to
the palm oil problem is just a boycott.
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:Boycott palm oil and not use
it entirely, and actually none
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:of the experts recommend that.
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:And just briefly, the reason
for that is that palm oil is an
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:incredibly productive crop, right?
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:In terms of producing vegetable oil,
palm oil is how you produce the most
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:amount of oil using the least land.
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:So palm oil has led to
deforestation, that's irrefutable.
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:Um, But the question is, if you
weren't using palm oil to meet that
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:demand, what would you use instead?
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:So if you were to switch to a different
crop, say, coconut oil, for example,
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:you would actually need to use more
land to produce the same amount of oil,
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:which would mean you would actually
displace The deforestation elsewhere
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:and actually would increase the
amount of deforestation that you had.
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:So I think you often, when you
step back to look at the data and
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:the research, you often find these
counterintuitive findings, which is
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:actually quite a better pill to swallow.
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:Cause we always have this preconceptions
and we want to find evidence that, that
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:confirms those and exacerbates those.
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:Um, but actually in this case,
the data did not tell me what
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:I expected it to tell me.
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:Yeah.
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:Yeah.
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:I remember.
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:reading this part of the book and yeah,
definitely it's sticking out to me.
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:So I guess like one of the, the,
one of the elements here about
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:digging into data is also thinking
about these knock on effects, right?
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:So like you're talking about palm oil
and saying like, it's not just about
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:like how, but, but the oil itself, but
it's about like these knock on effects
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:of like how much, how much land do
you need to grow, uh, to grow this
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:particular, um, crop and like how, how.
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:How does this like affect other
parts of the of like the whole supply
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:chain for palm oil, for example,
so I suppose this is also like a
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:difficult, um, it's a difficult skill
for many people to, to, to build, or
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:rather, it might take a long time.
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:I mean, you've been doing this now for
a while, and so you might like come
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:across some, some piece of data, and
then you're like, okay, I have this
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:piece of data, but what does this
mean for the next like parts in the
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:chain here and for for someone that.
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:It's just, uh, it's just starting
out or they just might be, um, like
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:say seeing a figure in the news or on
television or something like this, it
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:might like lack this context, I guess,
for really understanding what's going on.
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:Yeah, I think, I think the
key point there is the.
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:I try to never just go with my gut or go
with my intuition because even after doing
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:this data stuff for a long time on topics
that I know very little about or coming
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:new to, I just, I don't have a sense of
intuition for it and I think most people
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:don't have a sense of intuition for it.
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:I mean, that's fine.
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:I mean, the point is you step
back, you take your time, you look
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:at the data to try and understand
it before jumping to conclusions.
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:I think what's really key, you
highlight a really important point
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:that there's often knock on impacts,
positive or negative in various ways.
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:I think what's really key for me when
we're talking about solutions in this
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:space is that I think We too often
are looking for this perfect solution.
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:So we're looking for the energy
technology that has zero impacts,
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:that you don't need any land.
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:You don't need any materials.
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:It has zero carbon emissions.
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:I think the reality is that there's
just no perfect solutions in this space.
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:And I think we need to
come to terms with that.
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:And I think if we don't come to terms
with that, then we really, really slow
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:down progress because we, we rule out any
option that has a tiny amount of impact.
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:So I think what's important with the
numbers is to try and give a sense of
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:perspective of, you need to just say,
it has this impact compared to what?
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:So if, um, building a solar panel
maybe emits a bit of carbon because
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:you're using energy to do that, the
correct conclusion is not, this is a
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:bad option because it emits carbon.
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:The question is, how much carbon does
it emit compared to coal or compared
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:to gas, which you're replacing it with?
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:And the answer is way, way, way, way less.
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:So we should be pursuing those solutions
because it just makes a massive
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:difference compared to the status quo.
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:But if we're expecting that we're going
to find solutions that have zero impacts,
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:then we'll just be looking forever and
we actually won't make any progress.
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:Yeah, I think that that's incredible.
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:I was going to ask a dummy
question, which was, what would
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:you say the role of data is?
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:But I think that you already
sort of started to outline
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:What the role of data is.
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:I mean, I wouldn't say ideally, but
I mean, general thinking is that it's
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:more like, well, you get the data
and you, um, set a course of action.
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:But from what you're saying, it's more
like, well, if you get the data, you
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:have to do some thinking, you have to
do some comparison, you have to do some
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:interpretation of the data before, um,
getting to, Yeah, I think the role,
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:the role of data there is to try to
find some grounding and truth on what's
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:going on and what options we have.
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:I think, I think what's really cool
for us, uh, our world in data and
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:also a bit in my communication on
climate as well, is that I think, I
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:think too often it's portrayed as.
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:Just follow the science.
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:And that's what people
would say with the data.
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:Just follow the data.
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:But the role of science and data
there is not actually to tell anyone
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:what we should do, because that's a
much bigger question that takes into
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:consideration what does the science
say, um, what are the political
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:considerations around that, what are
the economic considerations around that.
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:Just following the data or following
the science won't get you to a concrete
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:conclusion of this is what we should do.
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:But what science and data can tell you is,
is we're on this course on climate change.
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:Once we start to reach these temperatures,
these are what the impacts are.
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:And then it's actually for others
to make the decision of, okay, this
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:is bad, what should we do about it?
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:It's about the data which will tell
us, um, if we want to reduce carbon
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:emissions, these are our options.
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:These are the most effective options.
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:And then it's about others to, to
figure out, should we implement them?
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:What scale should we implement them at?
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:So I think that's the role of the
data is to, is to show, show a range
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:of options, a range of, Of, of, of
futures and then it's for, and sometimes
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:others to then decide we should do this
based on the evidence that we have.
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:Yeah, this makes a lot of sense.
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:And it's something I, like, I
wouldn't have appreciated as much
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:like in my, so I'm, uh, I'm like,
uh, have a scientific background.
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:So like me, it's like very, uh, for
like physics and mathematics and like.
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:Thinking about these topics and
then like kind of abstracting away.
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:It's like, okay, the, the question of
like what you should do is different.
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:And then it's like, just look at the
data, but yes, this point of, uh, you
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:need to kind of map out the possible
futures, but this doesn't tell you
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:anything about which futures you
should be taking or you want to take
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:or what most people will want to take.
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:So this is also a challenge.
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:I want to ask you, um, something I've
been wondering a lot about is how do
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:you get people to care about data?
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:Versus their own perspective.
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:So your colleague, um, Max Roser
has, has, has this essay called like
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:the, the value of statistics and the
limits of our personal experience.
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:And I thought it was, it was bringing
up a really good point of that.
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:We, we can base a lot of our worldviews
on just kind of our own personal
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:experience of the people we talk
to, but this doesn't necessarily.
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:necessarily represent the whole world
or it doesn't inform us on some of
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:these like bigger worldwide questions.
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:So do you, do you have any
thoughts on like how we can get
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:people to care more about data,
care about digging into the data?
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:Yeah, I think, I think, uh, yeah,
Max's article on that was very good.
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:One point of his article was
one, if you're basing it on like.
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:Personal perceptions around you and your
kind of personal story and maybe your
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:personal stories of a few people around
you, you're building like quite a narrow
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:base of, of understanding the world.
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:But I think he also highlighted that you
get this problem with media where, um,
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:if you think of it as little, I think
the way he framed it was like little dots
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:on like this black, kind of black sheet.
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:And with the, with, uh, kind of
personal experiences, you're building
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:lots of dots around your little
circle, like it's people around you.
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:What you get from the news media
is maybe little dots, but like
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:spread really far out, right?
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:So I might get a perspective of one news
story in Thailand, and one news story
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:in China, and one news story in the U.
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:S.
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:But again, these are just really,
really small snapshots that
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:don't let us build a complete.
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:Vision of the world.
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:And the only way to really do that is to,
to look at data because with data, you
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:can essentially capture the experiences
of eight billion people, right?
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:You can figure out what's going
on with CO2, what's going on with
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:poverty, what's going on with hunger.
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:So data is really the route into
understanding the bigger picture.
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:Um, how to get people to care about it
is, is actually probably with great.
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:difficulty.
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:I think one way to do it is
I think what I found joy.
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:I mean, I didn't start
out as a data scientist.
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:I was an environmental scientist.
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:I mean, what really sparked interest in
it for me was often these counterintuitive
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:findings or actually just the appreciation
that like a lot of my perceptions were
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:actually really out of line with the data.
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:The way I discovered this was
through Hans Rosling who would do TED
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:talks where he would basically show
that all of our like really basic.
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:conceptions about the
world were really wrong.
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:And for me, that like, that's part of.
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:Where the joy in that came from was
an exchange of this joy of finding
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:out that I was completely wrong.
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:But then this curiosity of going
out to find out, like, what
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:does the data actually show?
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:So I think to some extent it's playing
on the curiosity to understand the world.
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:Okay, I've got a question.
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:Um, so I mean, and I know you interact
with people every day in the course of
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:the work that you do, but what, what is
a random person's relationship with data?
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:Like, like someone that
just comes across data.
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:How, I mean, in your experience,
how do they even approach data?
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:What is the, what is the most common
relationship that people have with data?
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:Because I think it, Yeah.
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:And the other part of the question is,
what should our relationship with data be?
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:Um, because, I mean, on Carbon Sessions,
we have pretty regular people listening
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:to this, and they just need something
that can help them the next time they come
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:across something that we've discussed.
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:So, the first question is, what's
people's relationship with data like?
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:And then, what should it be like?
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:Are there a set of questions I
should be asking before, or are
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:there, like, very basic tools that
I can use to interpret the data?
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:Um, like, what, what, what does
that look like, generally speaking?
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:Yeah, I think that's a good question.
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:I think Most people's interaction with
data, I would say, comes from the news.
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:I think where people most frequently will,
will, uh, be exposed to data is, is a
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:statistic in a news article, or on the TV
news, or if you get media, uh, your news
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:through Twitter or social media platform.
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:It's like within a framing of a story
within the media, I think, is where
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:most people are exposed to data.
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:Now, I think one of the dangers of, of
data is that as soon as someone uses
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:a statistic or a number or a graph,
it takes on this field of authority
332
:of, of course, this must be correct.
333
:Um, and I think that is actually a
danger in itself because there are
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:ways, I mean, there's loads of books
on how to lie with statistics or how
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:to manipulate data, which The number
there might be actually correct, but
336
:it's actually giving you a different
framing or a different understanding
337
:of the situation just by leave, what,
basically what's being left out.
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:So I think one, like, when, when
you come across a statistic, I think
339
:some really key questions to ask
are one, who's publishing this data?
340
:Um, is there, you know, some ulterior
motive behind it where you should
341
:be a bit more skeptical than normal?
342
:Is that an impartial source?
343
:Um, again, framing it in the context.
344
:So I think if you think about carbon
emissions, for example, just a
345
:really good barometer is considering.
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:Like scale.
347
:So is it hundreds, thousands,
millions, billions of tons?
348
:Like globally we emit around 41
billion tons of CO2 every year.
349
:So if you're thinking about something and
you see thousands of tons of CO2, like
350
:we automatically think when it comes to
thousands of, wow, that's really big.
351
:But in the scale of 41 billion tons,
that's really, really not a lot.
352
:So it's trying to bring context
into, is that a big number?
353
:And then I think another key thing is
to, it seems really basic to, but to ask.
354
:What's the, what's actually
being measured here?
355
:Or like, what's the actual
definition of this metric?
356
:Because I think this can often trip
people up where, but the metric
357
:is actually not representing what
they think that it represents.
358
:So actually a big focus for us,
which seems really stupid, but
359
:on our world in detail, we spend
a ton of time with our top.
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:Our titles and subtitles because
people will look at the chart and they
361
:read the title and the subtitle and
that's how they perceive the data.
362
:So it's really core for us that when
people are looking at a graph on our own
363
:data, they can immediately understand
this is what this metric captures
364
:and this is what has been measured.
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:And I think when you just see a
number, a news article, you often
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:really don't have that perspective.
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:Yeah.
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:And what's.
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:Turns out to me right now is
putting context to the data.
370
:I think that is very, very critical
because otherwise then we risk
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:misinterpreting the data just
with the example that she gave.
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:So thank you.
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:Thank you so much.
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:Yeah.
375
:And this idea of not having numbers in
isolation or data points in isolation,
376
:this can be very, very, very tricky
to understand what's going on.
377
:If you just have one number
and no context around it.
378
:I think with this one, there's
something, there's one is.
379
:more thing on that is to also rather
than just always look at like one
380
:snapshot is to look at the trend.
381
:Um, cause I think that also really shapes,
um, your understanding of this issue.
382
:So, um, like one example I might
use there is, um, which is not
383
:related to climate, but we cover
global health is child mortality.
384
:Right.
385
:So.
386
:The number of children that die
every year is around 5 million.
387
:Right?
388
:So that's horrendous, and most
of those deaths are preventable.
389
:But, just looking at that number, 5
million, that gives you no perspective
390
:as to, like, going up or down, or
things getting better or worse.
391
:You might look at that 5 million and
assume, well, this is just the highest
392
:that child mortality has ever been.
393
:Like, the world's just getting
worse and worse and worse.
394
:But actually, when you look at
the trends, like Chill mortality
395
:is falling very quickly, so a few
decades ago that was 12 million.
396
:Um, and go back further in history
and it was, it was even higher.
397
:So I think it's important to
understand the trend and the
398
:direction of travel so that you can
frame that number within context.
399
:Is it going up or down?
400
:Are things getting better or worse?
401
:And that's not to course, that's not to
dismiss that 5 million doesn't matter
402
:or that we're in a fine position.
403
:But I think actually looking historically
and seeing that we have made progress,
404
:that number is going down, should give
us a drive to say, well, we, we won't
405
:accept that 5 million children are
dying and we can drive that down lower.
406
:So I think looking at the
trend is also important.
407
:Yeah, that's, that's right.
408
:I wanted to, I wanted to pivot a little
bit and, and talk about, um, Talk about
409
:sustainability because this is like
one of the core themes in your book.
410
:I mean, okay, we were touching on this
already, but, um, one of the first things
411
:that I, that I learned, um, while reading
your book was just this, uh, this very old
412
:definition of sustainability and how it
like has, uh, has multiple parts to it.
413
:Can you speak a little bit about
this for, uh, for, for our audience?
414
:Yeah.
415
:So, I mean, I think there are just
multiple definitions of sustainability
416
:and I think like, it's very.
417
:It's totally fine to debate those.
418
:I think as an environmentalist,
my, and my, coming at that from
419
:my background, I would often frame
just sustainability as having a low
420
:environmental impact so we don't ruin
the planet for future generations and
421
:other species on the planet as well.
422
:But I think to me that that's
a bit of a limiting definition.
423
:And the reason I say that is because it's
not just about having a low environmental
424
:impact for future generations.
425
:I also care about the
current generation, right?
426
:I care about human suffering.
427
:I think everyone alive today
should have access to like a
428
:good high standard of living.
429
:And actually that comes to the definition
that's like a bit more like a conventional
430
:sustainable development definition, which
has two halves and one half is meeting
431
:the needs of the current generation.
432
:So ensuring that eight billion people
have a good life and, um, not sacrificing
433
:opportunities for future generations.
434
:So that's about having a
low environmental impact.
435
:So basically provide a good
life for everyone without having
436
:a high environmental impact.
437
:I think the argument I put forth in
the book is that historically We've
438
:actually never really achieved both
of those halves at the same time.
439
:I think we have this notion that
we've only become unsustainable
440
:in the very recent past, and I
actually don't really think that's
441
:true based on this definition.
442
:And the reason is our ancestors might
have had a low environmental impact,
443
:but they did not have high standards
of living, at least not by our
444
:kind of modern definitions of that.
445
:And the example I use in the book
is, is child mortality, where for
446
:most of human history, between a
third and a half of children were
447
:dying before reaching puberty, right?
448
:That's like unimaginable levels to, like,
we could never imagine those levels today,
449
:that half of children would, would die.
450
:But that was like, the reality
for most of human history.
451
:What we've had over the last few centuries
is almost like a tipping where human
452
:living standards have improved a lot
and they've improved across the world.
453
:This is not just like, uh, elites
have, have, um, living conditions
454
:for the elites have improved.
455
:Like child mortality has
fallen across the world.
456
:Extreme poverty has
fallen across the world.
457
:We have education, vaccines, like
we've made amazing human progress
458
:over the last few centuries, but it's
came at the cost of the environment.
459
:So we are now face all of
these environmental crises.
460
:And the argument I put forth in the
book is that I think we could be
461
:the first generation that does both
of these things at the same time.
462
:I think it is possible to
continue human progress with
463
:a lower environmental impact.
464
:And I think that we would
be, in some sense, the first
465
:generation to achieve Yeah.
466
:And I mean, part of, part of this in
your book is you have this, uh, like this
467
:concept, I'm calling it like decoupling
where it was like these standards of
468
:living keep going up, but we can decouple
these from kind of the, uh, you can call
469
:it like extraction of resources or like
negative impacts to the environment.
470
:And I thought this was, this was
quite a, quite a, quite a neat idea.
471
:Like I hadn't really.
472
:seen these, these, uh,
charts before showing this.
473
:So I thought this was quite eyeopening.
474
:So I mean, if you take the example of,
of CO2 there, um, we've seen historically
475
:this really tight relationship that as,
uh, GDP, so as goes up, so as people
476
:get richer, they tend to just lead more
energy intensive and carbon intensive
477
:lifestyles, and that's completely true.
478
:And that's what the data says.
479
:But what we are also seeing is that it
is possible to decouple these impacts.
480
:So you can increase GDP or increase other
metrics, which would be, represent human
481
:standards of living with CO2 emissions.
482
:And the reason for that is you can
replace the coal or the gas or the petrol
483
:car with Uh, solar or wind or electric
vehicles so that your CO2 emissions come
484
:down, but actually you're not impacting
the standards of living in that country.
485
:So it is possible with technology
combined with economic and political
486
:solutions that you can bend that curve
and actually decouple these two things.
487
:So, so then I guess my.
488
:My, my like follow up question to this
is that this, this idea of like, we have
489
:these sustain sustainability with these
two parts and this idea of decoupling
490
:means that we can keep improving the, um,
the, the lives of people today without,
491
:uh, sacrificing those in the future.
492
:I wondered for you, this
is not, this is not.
493
:As much of a data question, or
maybe it is, you can tell me if
494
:it is more of a data question,
but how do you balance these two?
495
:So like now it was like, okay,
sustainability has these two
496
:parts, but how do we actually
think about balancing them?
497
:Because, okay, we could like prioritize
the needs of people today, which
498
:is kind of, I guess what we did
historically, because you can't really
499
:think about people in the future when
you need to like survive yourself.
500
:And now we have an opportunity to
kind of like make it more balanced.
501
:Should we be shifting this
more one way or the other?
502
:Like how, how could we.
503
:Start thinking about this.
504
:I think there the trap you're
falling into is that you're
505
:assuming that there's a trade off.
506
:And I think what I'm arguing is
that there isn't a trade off.
507
:I think if you take the example
of energy as an example.
508
:The reason that we were never able to
do this in the past is our options for
509
:energy were either you burned wood.
510
:Which we did for most of human history.
511
:And then we discovered fossil fuels.
512
:So you burn fossil fuels that
were your only, those were
513
:your only options for energy.
514
:We're now in the position where we
have solar, we have wind, we have other
515
:alternative technologies and the issue
we were having say a decade ago, even.
516
:is that these energy sources
were too expensive, right?
517
:So you would have actually came to the
conclusion that there was this trade off
518
:because if someone's living in energy
poverty, um, they're having to decide do
519
:they go for the expensive solar and wind
to help the environment or do they just
520
:increase their energy consumption which
would be like higher standards of living.
521
:We're now in the position where solar
and wind are the cheapest energy sources.
522
:So actually, they are, they are, in some
sense, that's no longer incompatible.
523
:You can relieve energy poverty
using really, really cheap,
524
:low carbon energy sources.
525
:Now the question there is, is
different levels of income.
526
:I think we're, for high income
countries, there's really no reason
527
:at all why we can't just quickly
deploy these technologies and
528
:massively reduce our footprint.
529
:Um, I think the key for lower
income countries is because they
530
:are more finance constrained
is how can rich countries help?
531
:And there's two ways.
532
:One, they can directly finance
those energy technologies.
533
:And the other one is, um, by innovating
and driving these technologies
534
:themselves, you push down the
cost for lower income countries.
535
:So they don't face this trade off
between do they have low carbon
536
:emissions or do they alleviate poverty?
537
:Because solar, wind or other
technologies will just be the cheapest.
538
:Yeah, this, this, this, this was a
good point you made to in the book,
539
:basically like these decoupling curves,
you can kind of shortcut for these,
540
:uh, lower income countries where, for,
by, for, for higher income countries or
541
:yeah, for countries with higher income,
they can go and kind of subsidize
542
:or like make it easier to deploy
these, um, technologies, uh, quickly.
543
:So, yeah, thanks.
544
:Uh, thanks.
545
:Thanks for this perspective.
546
:What, one of the, one of the other
parts in the book that you, that.
547
:That you, you get at with
sustainability is that we have like
548
:all of these different problems.
549
:You have, I think, seven in the book,
um, seven, like different issues
550
:that, uh, that you tackle and that
there's a lot of overlap between them.
551
:So can you talk about how, like,
what, like, uh, helping, helping, for
552
:example, air pollution can affect these
other, um, problem topics as well?
553
:Sure.
554
:Yeah.
555
:I think this is, um, Also a bit of a
trap we fall into where we just see
556
:environmental problem after environmental
problem after environmental problem.
557
:And I think we, we often are worried
that if I make this choice for
558
:climate change, am I going to make
another problem much, much worse?
559
:So we can end up feeling pretty
paralyzed about our solutions
560
:because we automatically assume that
there's just like no, no solutions
561
:that cover all of our bases.
562
:And there are, I think there are
just like a core, like five to 10
563
:different solutions that really
cut across most of these problems.
564
:If you take the example of.
565
:of air pollution.
566
:The problem with air pollution
is burning stuff, right?
567
:You burn stuff and you produce
particulates, which is air pollution,
568
:which is bad for our health.
569
:If you produce energy without burning
stuff, then you don't have air pollution.
570
:So basically, the core to that is that
if you stop burning wood, which for some
571
:people in the world is still their core
energy source, is like wood and biomass,
572
:but for most people it's fossil fuels.
573
:So if you stop burning woods and you stop
burning fossil fuels, which is, we can
574
:do, we have alternative technologies,
then you address air pollution, right?
575
:You massively reduce air pollution, but
you also have the same solution to address
576
:climate change, like stop burning fossil
fuels and you tackle climate change and
577
:air pollution at exactly the same time.
578
:If you take another example, eating meat.
579
:So a big environmental impact is
global meat production, and in
580
:particular beef tends to be the
worst in terms of its impact.
581
:Um, you reduce your beef or meat
consumption, you help climate change, to
582
:some extent you also help air pollution,
you help deforestation because that's the
583
:leading driver of deforestation, you help
global food systems and food production,
584
:you also address biodiversity loss.
585
:So there you're hitting.
586
:Well, one solution, you're hitting five
different problems at the same time.
587
:So I think these are the just core set
of solutions that really cross cut many
588
:of our, uh, environmental problems.
589
:Yeah, this is, this is
a really good point.
590
:Plus it comes back to what you
were saying earlier that you don't
591
:have to, like, we can do a lot
without having a perfect solution.
592
:So for example, with this, uh, with
the, the point about eating, uh, eating
593
:less meat, uh, I think this is a really
good point is just like, okay, if
594
:you eat less meat, uh, we can make.
595
:quite a big dent in our impact, even
if you don't have to make the, you
596
:know, the, the full, you go the full
way of like, just stopping eating meat.
597
:And like, I know you've, you mentioned,
um, like some, some estimates in
598
:the book that, that get at this,
whereas like you have crazy amount
599
:of reduction by just having just a
little bit less meat per week, but you
600
:still end up, you can still eat meat.
601
:Like there's no issue with this.
602
:You don't have to like, you know,
Shift your whole personal identity,
603
:which can be very difficult.
604
:Um, and you still get
this, uh, massive impact.
605
:So I think this is also a good point
is like, just, we can tackle all
606
:of these problems at the same time.
607
:And we also don't have to, we
don't have to settle for, you
608
:know, perfect solutions first.
609
:Yeah, I think it's, like, it's often
about, um, people starting down a
610
:particular journey or route, like, I
think, like, I, I've never advocated that
611
:everyone should go vegan, because I think
for most people, actually, that's, that's
612
:a massive step, and it's like, actually a
barrier, because they think, oh, there's
613
:no way I could be vegan, but for many
people in the world, they could go vegan.
614
:have a meatless one or two days a week.
615
:Um, and that would probably
quite achievable for them.
616
:Um, and then actually from there,
I think then it starts to build.
617
:So like you go meatless for a
day, you realize, Oh, there's
618
:actually like really good vegan
products, um, that I really enjoy.
619
:So you make it two days.
620
:And I think from there, there's
a gradual process, but I think.
621
:Like assuming that everyone's
going to jump in and go straight to
622
:vegan is just really unrealistic.
623
:Yeah.
624
:And I don't think that should stop people
from taking action because sometimes,
625
:I mean, we feel like the action we need
to take is huge, especially when we
626
:look at the magnitude of the problem.
627
:And it's like, well, there
really is nothing I can do.
628
:So let me do nothing then.
629
:Um, but yeah, based off of what you said,
it's really important that we do the
630
:much we can, um, have a quote that says
do what you can until you can do more.
631
:And when you can do more, then do more.
632
:And keep doing more until you can do more.
633
:Uh, so that's, that's pretty good.
634
:I think there's also just really strong,
like, peer effects of, like, doing the
635
:action and then to some extent, like,
talking a little bit about the action.
636
:Like, the, the, the example I use
there is, um, like, electric vehicles.
637
:I think a decade ago, everyone was
really sceptical to buy an electric car
638
:because they didn't know anyone with an
electric car, they had no idea, like,
639
:is it hard to charge, like, do you
just, like, break down on the motorway?
640
:I mean, there's loads of these barriers.
641
:That they actually need to, need
to see other people buying them,
642
:having positive experiences, um,
talking to the friend that has got
643
:one and actually really enjoys it.
644
:I think we're now in the position
where a lot of those barriers have
645
:been lowered, um, because people
have actually just adopted it and,
646
:and, um, are chatting about it.
647
:Yeah, and, and just, just to add to that,
I think the other thing is if you find
648
:a cause or something you can do, even
though you're, you're an early adopter,
649
:it's okay to be an early adopter, because
then it takes a lot of early adopters for.
650
:Everyone to now adopt the solution.
651
:So it's, it's perfectly
okay to be an early adopter.
652
:I think it's like really
crucial to be an early adopter.
653
:Like earlier, we were talking about this,
this, uh, like trade off discussion.
654
:I think the question often, especially
for, I mean, I don't know what the
655
:demographic of the audience is,
but I think especially for rich
656
:countries, there's this question of.
657
:I'm sitting in the UK right now
and there's always the argument
658
:of the UK only emits 1 percent
of the world's carbon emissions.
659
:Like what we do doesn't matter,
but I think there, there's
660
:like another impact there.
661
:One is just the UK needs to get its
emissions as close to zero as possible,
662
:especially as a rich country with
a large historical responsibility.
663
:But the other role that rich countries
can do is to be the early adopters, right?
664
:When these technologies start out,
they tend to be pretty expensive and
665
:we want to get those costs low for.
666
:Middle and low income
countries to implement them.
667
:So the role of rich countries or rich
consumers is to be the early adopters
668
:and really force that curve downwards.
669
:Yeah, that's profound.
670
:And I guess like here, part of, part
of the issue sometimes, or maybe not an
671
:issue, but something to, to think about
is that to get say, um, richer countries
672
:to, to help, um, these lower income
countries, we have to have a sense.
673
:At least in my mind, that's where
like, you know, a global species
674
:is like, it's not just us in our
country that we need to care about.
675
:It's like, there's other people
that it's really helped to,
676
:to, to help them as well.
677
:Yeah, totally.
678
:I mean, yeah, one is just working
on global problems and caring
679
:about other people in the world.
680
:Um, but I think that gets like even more.
681
:difficult when you're talking
about other species, right?
682
:Like if we can't even get people to
care about someone like a human on the
683
:other side of the world, how do we get
them to care about biodiversity loss?
684
:Um, so it's like, it's, it's,
it's just very difficult.
685
:I think one thing I'd say on
that is that, uh, climate change
686
:is often framed as this like.
687
:Collective action problem where
like it's never in like exactly in
688
:one single country's interest to
act on it because it also depends
689
:on what other countries are doing.
690
:I think I think to some extent that's
true, but I think we also need just need
691
:to really highlight like some of the like.
692
:Selfish, and I say selfish
in inverted commas, reasons
693
:for, for countries to do that.
694
:And I think that comes back to, there's
loads of local benefits to implementing
695
:the solutions that address climate change.
696
:So if you take electric cars, for
example, or like electric vehicles,
697
:or investing in public transport.
698
:Like it's not just about climate.
699
:One, you reduce local air pollution.
700
:If you invest in public transport,
you have like Productivity
701
:gains, you lower congestion.
702
:If you implement renewables, you get lower
energy costs and higher energy security.
703
:So there's lots of like
localized benefits.
704
:I think we also should really
emphasize because there is this
705
:like collective action problem on
climate, um, on climate change.
706
:That's profound.
707
:So Liki has got a question here.
708
:She says, um, she'd like to get
your perspective on helping a
709
:grandma understand the difference
between data and rumors or what
710
:her friends could have told her.
711
:So, um, uh, yeah, that's that.
712
:Oh, I mean, I mean, I, I still
have that problem with my
713
:grandma, so I haven't solved it.
714
:Um, I think, I think to some
extent it's, it's very variable
715
:depending on like how people get
news and where they get news from.
716
:I think there are some demographics
where like the truth is just
717
:what their friend told them or
like what the latest rumor is.
718
:Um, I think, but I think
there are others where, um.
719
:Most of our, um, news
consumption is online.
720
:We have specific sources that we go to,
um, I think they are, even when you're
721
:talking about online media, there's
often a slant one way or the other.
722
:So like, I'm also still skeptical of
going to a media article and seeing
723
:data as we discussed earlier, seeing
data there and taking that as the truth.
724
:Um, I think you can also frame
like some of the data on some
725
:media articles is also a rumor.
726
:Um, so I think, I think it comes back
a little bit back to what we discussed
727
:earlier of, how to approach statistics,
like what you should have in your mind
728
:when you're encountering statistics.
729
:Um, yeah, and I, like I'm, in terms of
like rumor of what our friends could
730
:have told her, I think in general
I'm just like, try to stay away from
731
:building a worldview on anecdotes.
732
:Like I think there are, I think stories
are important and like they, they give
733
:you like interesting perspectives, but
I, I try not to extrapolate and assume
734
:that You know, what one person has
told me is true at a broader level.
735
:Yeah.
736
:I mean, the word, the world's big.
737
:So like to really build a world view, it's
very difficult on a personal anecdote.
738
:I wanted to ask you,
Hannah, for like the last.
739
:So a few minutes we have here,
um, about your newsletter.
740
:So you started it about a year ago.
741
:Uh, can you talk a little bit
about the motivations behind this?
742
:Like why you're having kind of just
like, uh, this like more personal
743
:project outside of your work?
744
:Yeah, no, I, uh, a year and a bit
ago I started this newsletter.
745
:I mean, it's, you said earlier
that it's a weekly, like I've
746
:tried, really try to like keep it
as close to weekly as possible.
747
:Um, but yeah, like I do this kind of like
in my free time where I explore like.
748
:Sustainability issues like
through the lens of numbers.
749
:So like a lot of this stems from, I,
again, like I have a question on this and
750
:I want to look at the data to find out and
rather than me just doing that in private,
751
:maybe I should just put it online so
that others can learn from what I found.
752
:So yeah, I tried to tackle like really
core questions that people have, like
753
:I think the latest ones were like,
are we going to run out of minerals?
754
:Um, for moving to renewable energy.
755
:And the answer to that is no, but
like looking at the data to find out,
756
:like, what do the numbers look like?
757
:What does that tell us?
758
:Rather than just jumping to a
conclusion one way or the other.
759
:Um, I, one of the reasons that I have
this kind of personal project and not
760
:all of it goes on our own data is that
I want it to be like a little bit more.
761
:Exploratory, where I'm exploring
a, a question kind of on my blog,
762
:like people's comments and inputs.
763
:I think like one of the great things
about our own data, but also one of
764
:the stresses of it is that people
go to our own data and take like,
765
:this is like the final say on this.
766
:Topic.
767
:And this is like the ground truth,
which like puts a lot of pressure on.
768
:Cause we, we take that very seriously
and want to get everything correct.
769
:So the blog is like a little bit more
exploratory for me where I'm under like
770
:a little bit less pressure of like,
this has to be like the absolute stellar
771
:standard and I can, I can discuss
issues on a, on a different level, but
772
:it all comes back down to the numbers.
773
:Like, Oh, I, I, I ground all of this.
774
:And what does the data tell us on
these really common questions that
775
:people have about sustainability?
776
:Yeah.
777
:And I, I remember like one.
778
:One of your newsletters in particular,
once I think it was a few posts
779
:you had, which were about electric
vehicles in, um, in colder countries.
780
:So like I'm, I'm from Canada.
781
:Uh, it is very cold even right now.
782
:And, uh, yeah, like one of the main
questions, whenever I talk to anybody
783
:about electric vehicles here, it's like,
it is not going to work in the winter.
784
:And I I've had like horror
stories about people losing
785
:like half their batteries, like.
786
:Capacity, uh, in the winter, like having
the car not start or like all of these
787
:now granted, it does get cold here.
788
:Like it gets very cold.
789
:So like, I, I, I can believe that
there are definitely issues versus
790
:like in warmer, um, in warmer places.
791
:But you had this series of posts where
you were looking at the performance of,
792
:uh, electric vehicles in colder countries,
Nordic countries, if I remember correctly.
793
:And even there, I was
quite impressed by how.
794
:Like how little the, the, the degradation
of in performance was like, okay, it's
795
:not quite as cold as here some days,
but like it was still pretty cold, the,
796
:in the, the, the regions you looked at.
797
:So I thought this was quite, yeah.
798
:And I think part of the motivation
for, for doing the blog is that I
799
:think to people, there are loads of
these like really common questions
800
:and like going into that, I had no
idea how much the range dropped in a.
801
:Electric car battery in the cold, but
I, I wanted to know the answer and I,
802
:I tried to find the answer in the data.
803
:I think what I've also seen recently is
I think there's been like a significant
804
:uptick in the media and, and like
disinformation on, on like renewables
805
:on electric cars on the latest one is
like heat pumps where like a lot of
806
:these claims are trotted out and Loads
of people believe them, but actually
807
:that's just not what the data says.
808
:So I tried to like build a base
where if people want like fact based,
809
:um, answers to these questions,
they can come, come and find it.
810
:Now I was just going to say like another
reason to like also bring in the context
811
:bit that we discussed earlier is that
like petrol cars also suffer in the cold.
812
:Isn't they, their, um,
performance also drops.
813
:So it's like, it's, uh, again,
the incorrect framing of.
814
:Um, assuming that, okay, electric
car battery is suffering,
815
:but a petrol car is fine.
816
:And that's, that's not true.
817
:Yeah.
818
:Uh, as someone who has recently
had car troubles, I can attest
819
:to this, it's not been great.
820
:Uh, but, but yeah, like, uh, what, what
I also really like, uh, about your,
821
:your, your blog is just, you have.
822
:Well, I mean, again, you're presenting
the, this data, these numbers, but
823
:it's not just like you saying like,
there's this statistic or whatever.
824
:I mean, like you're, you're, you're
reading a bunch of papers and different
825
:people that have already worked on this.
826
:It's like, it's not you.
827
:I think you probably mentioned
this in your newsletter.
828
:It's like, it's not you
doing the research here.
829
:It's more of the synthesis, like taking
all of these different, uh, like estimates
830
:and, uh, different just case studies and
kind of putting them together to try to
831
:answer maybe a slightly more, uh, Like
regular question that someone might have,
832
:like, how is the, how is my Evie going?
833
:My electric vehicle going to work?
834
:I should say that like, I
don't do any of the hard work.
835
:There's like researchers that like
properly do the hard work of like
836
:doing the research and the data.
837
:Actually, it's also true
for on our own data.
838
:Like we rely really heavily on,
on amazing people doing the work
839
:of providing the data, doing the
research where we see ourselves.
840
:Um, and where I see my blog is like,
we almost see ourselves as like
841
:translators, like this bridge between
the research and then the general
842
:public or policy makers or journalists.
843
:I think we have a, an issue in science
where there's loads of people doing
844
:amazing work, but like the results never
get into the world where they can be used.
845
:So a core part of our work is to
be this like bridge in this gap in
846
:the middle where we, we bring the,
the important results to people
847
:who can then put that into action.
848
:Yeah.
849
:And I suppose probably over like the last,
uh, like decade or so you've been doing
850
:this, you've probably gotten a better
sense of what, what makes say a good
851
:study, what makes a good research paper.
852
:Cause I mean, okay, there's
a lot of science out there.
853
:There's a lot of stuff that people
do, and you kind of have to like sort
854
:through it and say like, okay, even.
855
:Again, this idea of just because there's
a number that's out there doesn't mean
856
:it's authoritative, even within science
itself, like, unfortunately, but it's
857
:the case, because we're all human.
858
:Um, so, so like, even sorting
through this is also, also an
859
:important skill that I guess you've.
860
:Yeah, I think being like really
highly engaged with the public has
861
:been really useful in one shaping
like what are the core questions
862
:that people have, like we can, we can
understand what do people misunderstand?
863
:What are they curious about?
864
:Um, and even once we've published an
article, like, Looking at the, the
865
:comments and feedback, like it's not,
it's not always like that pleasurable,
866
:but like understanding what are
the main pushbacks against this?
867
:What are people like misunderstanding?
868
:Have we not been clear enough in some way?
869
:So I think like, yeah, doing this
really close public engagement
870
:is really important for us.
871
:Okay.
872
:So I see where we're running,
uh, almost out of time.
873
:So I want to ask you like one last
question, which is amongst your friends.
874
:Are you the person they run to when they
have any like data science questions?
875
:Like, are they like, Hannah,
I have this question.
876
:I don't know how to answer it.
877
:Can you please help me out?
878
:Yeah, I can still, I can, I can, uh,
associate with often, like someone
879
:will say a fact or what they think is
a fact or a number and then they'll
880
:kind of give me a side eye of like,
is she going to support this or
881
:is she like raising her eyebrows?
882
:So yeah, I think they, they wait for my
level of skepticism about whether that.
883
:that fact is actually correct.
884
:Um, yeah.
885
:Right.
886
:Awesome.
887
:So, so yeah, so thank you.
888
:Thank you very much, Hannah,
for taking the time, um, for
889
:coming on Carbon Sessions today.
890
:Again, uh, your, your book's
coming out in January.
891
:It's on January what?
892
:Uh, the US is January 9th
and the UK is the 11th.
893
:All right, awesome.
894
:So yes, check out, check out her new book.
895
:It's really good.
896
:Uh, and also check out, check out
Hannah's newsletter, which, uh, which,
897
:uh, comes out again, weekly ish.
898
:It's, uh, it gives you a nice, uh, data
driven way of, uh, seeing the world and
899
:just answering a bunch of questions.
900
:So.
901
:Again, thanks Hannah for being
on the podcast and, uh, do you
902
:have any, any, uh, thing you want
to say as, uh, as closing out?
903
:No, just thanks very much for having
me and keep working on the solutions.
904
:Thank you so much.
905
:All right.
906
:Awesome.
907
:You've been listening to carbon
sessions, a podcast with carbon
908
:conversations for every day with
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909
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910
:perspectives from wherever you are.
911
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912
:experiences, connect, and take action.
913
:If you want to add your voice to the
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914
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915
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916
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917
:For more information, to sign up for
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918
:and to order your copy of the Carbon
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919
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920
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921
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