Timestamps:
00.00 – 00.53 Intro
0.53 – 01.44 Pop quiz
01.45 – 02.27 Lakha Sridhar into
02.28 – 04.01 What are greenhouse gases?
04.02 – 08.49 How are greenhouse gas emissions measured?
08.50 – 12.23 Collecting climate data and imagery
12.24 – 17.45 How has the project been received by the government and industry?
17.46 – 19.49 Helping organisations make better choices
19.50 – 21.34 How can fresh data influence policy?
21.35 – 23.34 How Climate Trace can influence better decision making
23.35 – 24.04 Tools to support transparency in emissions
24.05 – 26.15 Climate confession
26.16 – 26.07Outro
Show Notes
(Srilekha Sridhar) Lakha Sridhar – Lekha is a senior policy analyst at WattTime, a US non-profit focused on making it easier to reduce electricity grid emissions.
Climate Trace – Tracking Real time Atmospheric Carbon Emissions: Making greenhouse gases emissions visible through remote sensing and artificial intelligence.
Ola Rosling, Gapminder – The UN’s SDG Moments 2020 was introduced by Malala Yousafzai and Ola Rosling, president and co-founder of Gapminder.
Ocean Mind – OceanMind supports those who defend our ocean with advanced technology, training, capacity building, knowledge transfer, and through partnerships and collaborations.
Transcript
Lekha Sridhar 0:00
I don’t think there’s like a malicious, you know officer twirling his moustache going haha How do I you know, get away with this? Well, I’ve never had seen any evidence. Exactly right. I think that there’s just a lot of scedosporium Like I said, and people just don’t know that there are better ways to do things.
Ben Hurst 0:27
This is climate curious, the podcast for people who are bored, scared or confused by climate change.
Maryam Pasha 0:34
I’m Marian Pasha, the director and curator at TEDx London and the co host of this podcast, alongside the amazing Ben.
Ben Hurst 0:40
Hi, I’m Ben Hurst, activist and advocate exploring what positive masculinity is can look like and self confessed climate Normie
Maryam Pasha 0:53
welcome back to another episode from climate week, NYC. Hi, Ben.
Ben Hurst 0:58
Hi, everyone.
Maryam Pasha 1:00
So today, Ben, we’re going to start with a pop quiz. Okay. And like every pop quiz, you didn’t know it was coming. Let’s go. I’m ready.
Ben Hurst 1:08
I’m a professional
Four seasons in, I want to ask you what are greenhouse gases?
Maryam Pasha 1:15
what are they? Yeah, well, can you name me some greenhouse gases?
Ben Hurst 1:19
Yeah.
Maryam Pasha 1:20
Can you?
Ben Hurst 1:20
Yes, carbon.
Maryam Pasha 1:26
Okay.
Ben Hurst 1:26
Is carbon a gas? carbon? methane!
Maryam Pasha 1:29
Yes.
Ben Hurst 1:30
hydrogen, oxygen, hydrogen.
Maryam Pasha 1:33
I mean, they’re not.
Ben Hurst 1:34
Methane
Maryam Pasha 1:35
methane. You’re right.
Ben Hurst 1:36
Yeah.
Maryam Pasha 1:36
Hydrogen, Oxygen are gases, but they’re not greenhouse gases. But it’s okay. You can start there.
Ben Hurst 1:42
Nitrogen
Maryam Pasha 1:44
No, nitrogen makes up a greenhouse gas. Okay, we’re gonna stop. We’re gonna start before before Ben leaves. Because luckily, we have someone who actually can answer that question and a lot more because we’re not going to just talk about greenhouse gases. Today, I want to welcome our guest today, Lakha Sridhar. She is the Senior Policy Analyst at what time which is a clean energy nonprofit based in California, and manages international partnerships for climate trace, we’re going to explain all of that means, before working in this world, she was at the UN environmental programme, and has worked with the Government of India on policy around sustainable cooling, and was a litigation and environmental litigation attorney in India, which is which is pretty cool. So thank you for joining us. Thanks for having me. Let’s start with some basics. Right? What are greenhouse gases? Greenhouse gas emissions? Let’s start there.
Lekha Sridhar 2:38
Greenhouse gases or what trap heat in our atmosphere. And that’s what’s causing climate change.
Ben Hurst 2:44
Thats essentially what i said
What’s the difference in that amount of time? Forever versus
Lekha Sridhar 2:55
20 to 30 years, depending on the gas. Yeah.
Ben Hurst 3:15
It does more damage?
Lekha Sridhar 2:44
Yes, you got the methane, bit right. So we have carbon dioxide, which is the, you know, most abundant greenhouse gas stays in the atmosphere forever, unless it’s sequestered, you know, absorbed by trees or other sources. And then you have methane and or methane, as we say, in the US. And nitrous oxide, which don’t stay in the atmosphere forever. They’re called short lived climate pollutants. But they are they have so much more warming potential than carbon dioxide, which means they trap more heat than carbon dioxide does. So in the short time that they’re around, they do so much more damage. So yeah, fixing all of these is the is the goal.
Yeah, exactly. Right. So for example, nitrous oxide has something like, over 200 times the warming potential of carbon dioxide, which means it traps 200 times the heat
Ben Hurst 3:45
That doesn’t sound good.
Maryam Pasha 3:48
What? Okay, another basic question before we get into it. So these are the gases what emits them? Like what kinds of things activities?
Lekha Sridhar 3:55
Yeah, pretty much everything emits greenhouse gases.
But of course, the biggest source of carbon emissions are energy production. You know, cars, our power plants, you know, Heavy Industries production producing steel and cement, but also other things like agriculture, we, you know, we’ve all heard that, you know, beef cattle are a big source of methane or methane. And, you know, when we destroy our forests, we’re also methane carbon. So pretty much all, you know, our modern activities, have carbon impact fixing all of these is the goal.
Ben Hurst 4:30
Oh, gosh, yeah.
Maryam Pasha 4:31
Okay, so,
Ben Hurst 4:32
so this is not a good situtation. is it?
Maryam Pasha 4:36
hopefully, if you’re hearing this for the first time, you’re gonna keep listening to this podcast. I want to ask a little bit about how, because data is really important, right, in this in this equation. So tell me a little bit about kind of your work and what you do and the measurement of these of these greenhouse gas emissions.
Lekha Sridhar 4:52
Yeah, I mean, this measuring greenhouse gases is how we know I mean, you know, all the countries came together to agree to the Paris agreement? And how do we know if the Paris Agreement is actually working? So, which is why transparency in emissions is kind of the backbone of the Paris Agreement. Countries report their emissions every couple of years. And for some countries, it’s every year when they’re kind of like the high income countries. So that is the centrepiece of the Paris Agreement. That’s how we know that, you know, countries are doing what they said that they would do, which is reduce emissions, or, you know, not reducing emissions.
Ben Hurst 5:28
This is my second climate conference now, right? And every time, every time both times, there has been a lot of conversation about transparency, is this because people are lying? Or are people just like, quiet, like, blank question? Are there people who are like telling porkies or something?
Lekha Sridhar 5:44
Well, that’s the thing, right? In a lot of cases, we don’t know. Okay, because you know, how you measure greenhouse gases is such a dense and opaque area that I didn’t know about, even though I’d been working in the climate space until I started working on this project.
Maryam Pasha 5:58
Okay, so tell us up until up until, like, historically, how have we measured?
Lekha Sridhar 6:03
So here’s the thing, right? Like, you want to think about, at what scale are we talking about measuring? If you’re thinking about how’s the planet doing in reducing greenhouse gases, we have the satellites, they are great at telling us, these, you know, 415 parts per million is the carbon dioxide. And you know, it’s now 416, whatever it is, so we know as a planet, how we’re doing when it comes to emissions. But when it comes to an individual plant, a single power plant in your neighbourhood, or you’re lucky enough not to live near a power plant, I should say, in a lot of cases, we don’t actually know. So the best the gold standard for knowing what emissions are from a single source are actual sensors, similar to the ones that are up in space, measuring like a planet’s emissions, you can have one right at your power plant, or your facility. Those are great, those give you 24/7 365 days of the year, they give you what the emissions problems are. The problem is, only a fraction of the facilities around the world actually have one of those. And as you probably guessed, they tend to be, you know, concentrated in a few specific countries. So how are all the other plants doing? How are all the other steel plants doing? How are all the farms doing? data tends to be patchy, really fragmented, and relies a lot on things like? Well, you know, last year, we burned 10 tonnes of coal. So you know, assuming like, you know, based on physics, we think that this is how much the emissions are. That’s how most of emissions measurement works. And that’s that’s how all the countries and a lot of companies, sub national governments, that is to say state governments or city governments are actually measuring emissions. It’s all done on like an Excel sheet.
Ben Hurst 7:47
So we have like a good global picture. But a bad local national picture. Exactly. We can’t does that mean that we can’t find out who’s doing it? I’m all about catching the culprate
Maryam Pasha 8:00
value that comes to mind, just like we it’s like asking someone, tell us about how much you ate over the last week? And they’re like, Oh, well, you know, a couple of salads and like, maybe just one burger. I’m like, Yeah, meanwhile, it’s like Deliveroo every day.
Ben Hurst 8:16
Yeah
Lekha Sridhar 8:17
exactly. Right, exactly. Right. But you know, it isn’t just about catching the bad guy. It’s also about helping the good guys do a better job.
Ben Hurst 8:25
why?
Lekha Sridhar 8:25
If a city knew where its emissions were coming from, they’d be like, Great, now we can put in a policy to fix I don’t know, buildings, and you know, switch all our heating to electric heating or something like that, you know, the heat bumps. So it’s really about kind of incentivizing the good guys to do their job. And it isn’t just about catching the bad guys.
Ben Hurst 8:44
Sorry, then sorry. Sorry, everyone, to the villains. Yeah, I want to catch them.
Maryam Pasha 8:49
But you know what, okay, so this actually, I find this so great. Interesting, because I recently reconnected with like, I have a favourite statistician. what a weird thing to have.
Lekha Sridhar 8:59
we all do
Maryam Pasha 9:00
We all do. Mine is Ola Rosling is. He’s my favourite statistician, I got to speak to him recently. And we were talking about how he does all these things around with Gapminder, around like accurate pictures of data. And one of the things that he just reminded me again, was that if we don’t actually know, we could actually be focused and pulled off and like, our focus can be in the wrong place, right? So we can have all the good intention on wanting to do something. But if we think it’s, you know, all the problems are over here, let’s say, we’ll, we’ll focus on that. And actually, you know, there’s a plant down the road that’s causing all the issues. Is that part of what the point of thinking about this?
Lekha Sridhar 9:29
That’s exactly right. You want to make sure that you’re focusing on the right things, that the actions you’ve taken in the past are actually having the impact you want them to. And also, you know, there are other kinds of knock on effects as well. For example, if you want to get a project financed, you need data. And, you know, no surprise, all of climate finance tends to go to the richer countries that have this, you know, really strong, rich culture of you know, collecting data, whereas the countries that really need the financing aren’t accessing it. And a part of that reason is lack of data.
Ben Hurst 10:07
So like one, part, accountability and one part opportunity
Lekha Sridhar 10:11
Yeah, exactly right.
Maryam Pasha 10:13
Okay. So this is, I have just, I just have to say thank you for explaining something extremely complicated. So well
Ben Hurst 10:21
like, what our greenhouse gases?
Maryam Pasha 10:22
Like, how we measure them and why. And so then what we’re excited to talk to you about is how we’re doing it better. Right? So tell us how we’re doing this better. So you’ve got the planetary level? Yeah, we’re doing it better on this.
Lekha Sridhar 10:33
Right. So you know, I mentioned earlier that, you know, you have some places where you have sensors that actually do collect accurate measurements of data, we call that ground truth data. And you’ll hear me use that term ground truth data. That’s right.
Ben Hurst 10:45
Yes.
That what they call it on the streets.
Lekha Sridhar 10:50
Exactly. Right. Yeah, it’s as close to the objective truths that you can get when it comes to a greenhouse gas measurement. Now, that’s only available in a few locations. But what does collect a global picture are satellites, we have so many satellites that have been launched in the recent years. And they’re not just collecting emissions data, but they’re collecting a lot of imagery. So what we do at Climate Trace, and I’ll tell you what Climate Trace means a little bit down the road, we basically use satellite imagery to identify observable signals of emissions. So take a power plant, for example, how do you know if it’s on? There’s a steam plume coming out of the stack? That’s, yeah, that’s just carbon dioxide. And, and yeah, and water vapor. If there is a steam plume coming onto the stack, and you can see that on an image, then chances are that the power plant is on, and therefore generating emissions, we’re not actually seeing the emissions, but we’re seeing a proxy for the emissions, which is the plume. So we collect as many images as we can have these power plants as many locations as possible. And we train our artificial intelligence algorithms on the ground truth data that we have in a few locations, and correlate the two of them. So now, for the locations where we do have ground truth data and those images, we now know what the emissions are. And we can use that same model for countries and locations where we have no ground truth data. So now we actually do have a global picture of emissions globally.
Ben Hurst 12:23
So is that like the same thing that you were saying about people who do the calculation of how much holiday burnin and therefore approximately this amount of emissions?
Lekha Sridhar 12:30
Exactly, it would in this case, we do have one measurable signal, which is that we can see the offseason plumes coming out of out of the power plant. So we do the exact same thing for every single sector. Climate Trace, we’re a coalition of tech and climate, nonprofits, each of us have a focus on one emission sector. So you know what time the organisation I belong to, we focus on power plants. We have ocean mind that focuses on shipping. Now the big source of emissions, transition zero, they focus on heavy industries, again, all big emerging sectors and several others that I don’t know that we have done heavy industries or steel, cement. Aluminium. Yeah. Huge emitters. So yeah, so each of us focus on one of these areas, we apply similar methods. So take, for example, Ocean Mind, they use an A technology that wasn’t actually made for estimating emissions. I don’t know if you notice, but all large ships have a transceiver that’s constantly kind of pinging the signal and the location. It’s for security reasons.
But it’s basically
Maryam Pasha 13:36
the reason I know this is when I’m on holiday, I love to sit on the beach and open up a ship tracking
Ben Hurst 13:43
No, you do not know you don’t.
Maryam Pasha 13:46
And I like look at all the ships see and what they are.
Ben Hurst 13:49
Oh, like that, like the same ones that they used for aeroplane?
Lekha Sridhar 13:52
That’s right. Exactly. Right. Yes. So they use that. And when we have that we now know, if a ship has moved from point A to point B, and what speed it moved that both of these are really important for measuring emissions. And if we can also have the data on you know what the ship engine is you know, the model and the make, you can have a really good picture of that individual shapes emissions. So it’s
Ben Hurst 14:16
like an extreme version of a GCSE maths exam. Yeah. It’s really giving me flashbacks.
Maryam Pasha 14:22
if it moves from this place to this place, and its this heavy, and it moves this fast
Ben Hurst 14:28
thats quiet cool actually
Maryam Pasha 14:29
Yeah
Ben Hurst 14:29
yeah.
Lekha Sridhar 14:30
It is extremely cool. I am not the engineer and I’m in awe of all the engineers I work with.
Ben Hurst 14:35
Just take the credit. That’s right. You did it single handedly.
Lekha Sridhar 14:39
single handedly just yesterday.
Maryam Pasha 14:42
What I love is this idea, though, that you’re you’re able to use the AI to kind of help you get better, right? Is it right isn’t an algorithm that also gets smarter than more data comes into it?
Lekha Sridhar 14:52
Absolutely. And that’s the point of this is that we’re really at the starting stage right now. And we’ve had lots of interest from companies who reach out. And they’re like, We want to give donate data or like this individual power plant. And we can use that as ground truth data and as training data for algorithms, constantly improving our algorithm over time and that yes, just the start and will get better.
Ben Hurst 15:14
So you’ve solved it, you fixed it. Well, you’ve done its over. We know the information. we have caught them, we know who they are.
Lekha Sridhar 15:25
No, no, we’re at the start. And there’s so much more we could do on improving our accuracy. And we could get more we’re definitely getting more granular, which means getting to smaller and smaller units, that methane emissions. Yeah, but I think we’ve made a really good start, we’ve got the machinery in place. Just got to keep building on it.
Maryam Pasha 15:45
So this is really cool. And I am curious to know, because we talked about governments and the Paris Agreement. I’m curious to know how it’s been both received by governments and industry.
Lekha Sridhar 15:57
Absolutely. Yes, I have to say that we’ve received nothing but positive feedback so far.
Ben Hurst 16:02
really?
Lekha Sridhar 16:02
Especially from you might I don’t know if you’ve heard this term non state actors, which is a wonderfully poetic phrase we use for anyone that isn’t a country government. That’s part of the Paris Agreement.
Ben Hurst 16:16
Are those big businesses?
Lekha Sridhar 16:17
Big businesses, small cities, just everyone. Yes, like, local nonprofit, everyone. All of them are also committing to net zero commitment. You know, you’ve had like several large companies saying, we’re going to go net zero by 2050, or whatever. So all of them are realising that they’ve made these commitments, and how are they going to have the data to actually know where their palm oil came from nowhere that steel came from which factory came from that, you know, they’re putting in their cars. And there’s immense demand for technologies like these, to help people really understand where their emissions are coming from and have an accurate picture of it,
Ben Hurst 16:56
right. I don’t know why the palm oil thing made it so much clearer in just the words palm oil, because then I feel like, once you, once you know where you’re getting your stuff, you can decide you can make better decisions about who is exactly right.
Lekha Sridhar 17:09
Yeah, I mean, a lot of large companies, they aren’t manufacturing every single part of their supply chain themselves. They’re outsourcing some of the procuring some of it. And so they don’t necessarily control those processes, they don’t own the chips that that the goods get transported on. So knowing what the emissions were from the steel plant, or the or the iron mine, where the iron was mined, and then the you know, emission to the steel plant where the steel was manufactured, and then transported to, I don’t know, the factory of an automaker. All of those are not necessarily parts that they control, but they need the data on so that they can make decisions.
Ben Hurst 17:45
My assumption is that four countries in particular, people benefit from misrepresentation in terms of data, because that means that they can economically do more. I don’t know if that, obviously, I don’t know what I’m talking about. If that is wrong, please correct me. But my I would have assumed that the response from governments, for example, wouldn’t have been a positive, I wouldn’t have thought that people would have wanted to be regulated in that way.
Lekha Sridhar 18:15
Yeah. But you know, I mean, I wouldn’t say it’s all been like, oh, we want to hide our emissions. There are, there’s a lot of legacy systems that we’re talking about, where most of these inventories are prepared by a country Statistical Office, that sources all of these information from different parts of it. And there’s a lot of status quo ism, where people are just like, well, this is how we’ve done it. This is what our data says, I don’t think there’s like a malicious, you know, Officer twirling his moustache going haha, how do I you know, get away with this?
Maryam Pasha 18:45
Well, it would be great if there was.
Lekha Sridhar 18:46
I know! Well, I’ve never had seen any evidence. Exactly. Right. I think that there’s just a lot of CT scores. And like I said, and people just don’t know that there are better ways to do things. And well, that’s why we’re here to you know, let people know that. Look, there’s this new source of data that you can incorporate into your existing inventories, or your inventory, by the way, is what we call a measurement of a country’s emissions from every single sector. Yeah, so countries report their emissions. And it’s, that’s that’s called an inventory of emissions. Yeah, so just have this additional source of information for countries. We’re not trying to replace what countries are doing. The inventories that they prepare are so valuable for the world. I mean, not just for their own citizens, but just globally, just knowing that yeah, you know, agriculture is emissions are actually falling globally, or something like that, you know, knowing that information is so valuable. We don’t want to supplant that. We’re just saying, here’s an additional source of information for you to use and validate what you’re doing.
Maryam Pasha 19:49
Yeah. I mean, for me, it’s like, it becomes so you know, the idea that knowing if what you’re doing is working also seems really important like we keep talking about the decisive decade. We given only about these short timeframes, it means then that it you know, you need to know very quickly, if what you’re doing is working, you can’t wait like, because and this is something I was gonna ask you, is it? Am I right thinking? Because I’ve seen I’ve seen this before that sometimes countries, it takes them years to refine their emissions, right. So how if we don’t have years? Is this part of the solution of moving faster?
Lekha Sridhar 20:23
Absolutely. Last year, I haven’t updated the figure yet. We calculated that there were over 100 countries whose inventories were older than 2015. Which is Yeah, crazy, like 2015 was the year when the Paris Agreement was entered into 100 countries since then, had not updated their inventory. And that included huge emitters, like India and China, you know,
Maryam Pasha 20:47
like 17 versions of the iPhones,
Ben Hurst 20:50
that’s a lot of emissions.
Lekha Sridhar 20:54
And to be fair, preparing an inventory is time consuming, and is expensive. You it’s not just two people in a room, you know, you have to source information from every single department of your government. And those departments are sourcing information from all the producers. Some countries just have built the systems for many years. And it’s going to take time for all the other countries to kind of get there and kind of build these systems. But you’re right, we don’t have the time, or we need data. Right now. We need recent data. We need timely data that isn’t five years old. So people can know. Yeah, that policy I put in place last year, it’s working or it’s not working.
Ben Hurst 21:33
So what’s what is the hope? Like in terms of like, now, now that you have this tool? What do you what’s the like best case scenario, desired outcome of what people do with it?
Lekha Sridhar 21:46
Well, the best case scenario would be for everyone to look at this data and be like, Great, I’m reducing emissions on the basis of this, whether it’s a country government, whether it’s a city or a state government, or companies to just be able to use this data and make better decisions on whether emissions are coming from and switch to decisions that reduce their emissions. That’s the hope.
Maryam Pasha 22:06
So what I think is really cool here is that this is like, this is part of that bigger system is changing, like creating a better world in general, like so if you care about what your emissions are coming from, and you do all three scopes, then you just you’re creating more transparency, which is just good for everything, like labour rights, as well as climate.
Lekha Sridhar 22:25
Exactly right. And you know, especially when big companies exert pressure on their supply chains, it has a transformational effect. Because, you know, if they’re saying that, well, look, we’re only going to ship on the least emitting ships, you you bet that everyone else is going to be like, right, great. Okay, how do we clean up our shipping sector? You know, this is we need we need like these big buyers to be using us.
Maryam Pasha 22:47
What I like about it actually, is because you know that companies have signed up to that now. You are, I would say our leaders are people who have individuals in positions of power who genuinely care where it’s not just greenwashing. Right. So because they didn’t have to do it, no one’s telling them, they have to do it. And I’m curious to know, when you were talking about this new use of data and measurement that you have, is this going to be part of feeding into that and helping those leaders be better at?
Lekha Sridhar 23:15
Yeah, absolutely. So you know, a little more than a month, we’re launching the first ever version of our database where we’re going to have emissions down to an individual facility, just an individual mine or an individual plant. And this is exactly what’s going to help people know the emissions from their supply chains. If they you know, if they use bauxite, which is, by the way used for aluminium manufacture. You know, they will now know what the emissions well. So this is, I think, a big part of helping people just kind of have more transparency into their emissions.
Maryam Pasha 23:46
I think it’s cool, right? Because that means that when it filters down to us,, and someone puts like green on something, we also have more confidence that we’re not being conned.
Ben Hurst 23:55
Yeah
Maryam Pasha 23:55
That actually is is something that makes us feel like were oding our part.
Ben Hurst 23:59
it’s not just a sticker,
you would have though data is actually important. My goodness
Maryam Pasha 24:04
As you probably know, I love geeky data stuff as I trick track chips on my holiday. Yeah. Bringing Ben over to the data side. Thank you so much for chatting with us. We have one last thing.
Ben Hurst 24:17
And now it’s time for our climate confessions. Let’s fess up to the bad habits we just can’t. Kick.
Lekha Sridhar 24:29
I have the perfect confession.
Maryam Pasha 24:30
So we always ask people to say like, look, there are things I’m not doing so well either, but I could still be part of the the bigger change. So what is your climate confession?
Lekha Sridhar 24:39
We bought a car in New York City in Manhattan.
Ben Hurst 24:43
Oh, the cars are literally not moving in the streets. Yeah, stuck for hours.
Lekha Sridhar 24:49
We bought one for two years. And I have to say I like having a car.
Ben Hurst 24:52
oh, no,
Lekha Sridhar 24:53
I know.
Ben Hurst 24:55
Was it nev
Lekha Sridhar 24:56
No.
Maryam Pasha 24:58
Double confessions.
Ben Hurst 24:59
This is terrible.
Lekha Sridhar 25:00
I is think it’s an SUV.
Ben Hurst 25:02
I’m judging you really intensely, you’re worse than me.
Lekha Sridhar 25:05
I know. So that’s my confession.
Maryam Pasha 25:09
I love it. I love it. That’s good. I mean, we also big fan of cars, Ben and I. So, yeah, but you know, what is actually one of the things in the US, right is that is the charging infrastructure isn’t there yet, as of this, and especially if you live in the cities, were you supposed to do like, throw a charging cable out? You’re like 5th floor balcony? Yeah, you know. So I’m hoping that with all the new money that’s coming into it, we’ll have this conversation in two years. It’ll be like, “yeah, i have an EV”
Lekha Sridhar 25:37
you know, lots of states are doing really well. A lot of states have been kind of funding charging infrastructure. I have to say lots of my colleagues have EVs and they love it. So I should be clear that I don’t actually drive. It’s my husband who does.
Maryam Pasha 25:54
My climate confression is that my husband drives
Lekha Sridhar 26:01
I get driven around.
Maryam Pasha 26:03
I have to say I don’t drive, but i get driven around.
Ben Hurst 26:05
You benefit form it.
Maryam Pasha 26:06
But thank you so much for joining us today. This has been so fun. Thank you so clear. I feel like I can explain it now which is amazing.
Lekha Sridhar 26:15
Great.
Ben Hurst 26:15
Stay curious. Thank you for joining us this week. We really hope you enjoyed this episode.
Maryam Pasha 26:22
If you did, please hit the Follow button to make sure you get next week’s release.
Ben Hurst 26:27
We are now officially crowdsourcing Climate Confessions so please leave yours in the ratings in the review section. And we’ll shut off you next time. And shout out to our fabulous team behind the pod.
This episode was produced by Josie Coulter comms written by Tess Lowry. Art work designed by Rebecca Minges curation by Maryam Pasha mixed and engineered by Ben Beheshti. Music also by Ben Beheshti presented by Ben Hurst and Maryam Pasha.
Remember, stay curious
