Artificially inflated EV emissions amplified by usual anti-EV types

What’s that worst case scenario? Well, all current electrical generation emissions globally and current unabated steel emissions globally. This is distinctly not the case in the rapidly decarbonizing West. Let’s take the USA for example, where the UCSUSA has been updating its reporting annually for years and finding much better full lifecycle emissions, and increasing gaps every year.

The Kearney report’s purpose is not to say that EV emissions are a problem, even in the worst case scenario. That’s not what the report is about. Its focus is on continuing to decarbonize electricity, decarbonize supply chains, and decarbonize steel and other metals. You know, what the world is already doing. It’s more of a reminder that every electric car is going to become lower carbon over time and that every year the embodied carbon in a car will be declining as well.

It wasn’t meant to provide the usual suspects with ammunition to attack a major decarbonization wedge, but that’s how the usual suspects are using it of course. No good deed goes unpunished.

Why share it?

I’ve used Visual Capitalist material without thinking much about it. Sometimes it’s good, like its look at 10 years of global EV sales, or its minerals mining volumes infographic. Sometimes it uses credible sources and provides credible infographics as a result.

And sometimes it doesn’t. Why might that be? Well, let’s ask about Visual Capitalist’s reason for being. Is it a dispassionate assessor of data, like Our World In Data? Is it a tracker of a major decarbonization effort, such as Germany’s energiewende-like Clean Energy Wire? Well, no. It’s a profit-focused infographic company that’s using publicly available data to make infographics to drive ad revenue and as a freemium marketing tool for consulting and insight gigs with Fortune 500 companies. It’s a business, not an academic institute or NGO. It’s in the business of taking data it finds and making pictures from it.

Sometimes they get it right. Sometimes they get it wrong. But they have to churn out infographics to stay fresh. And infographics don’t lend themselves to post-publication expert review and revision, as text does. It takes a lot more to whip an infographic into shape, and once it’s done and published, there’s very little value in going back and correcting it. So Visual Capitalist doesn’t generally respond to or fix any of its problems.

But still, results like this that pretty much counter what every other independent assessment and publication has found are pretty hard to accept. What gives with the people like the aforementioned motivated thinker amplifying it without nuance and with a bad hot take to its thousands of followers on a professional networking site? Don’t they realize how much that damages their credibility?

Well, no. That’s not the way that humans work. We’re subject to cognitive biases that mean we often do stupid things for bad reasons and think that they are smart things for good reasons. And often we are encouraged in this.

Comments on the LinkedIn post were split between people pointing out the challenges with the infographic, and people loudly supporting the poster’s message and saying of course EVs were terrible, and we really needed synthetic fuels or hydrogen or ammonia, or that EV batteries were toxic waste that was going to end up in land fills. Did the poster edit their original post to add nuance or soften their claim that “BEVs are better, but not so much better, than ICE and especially hybrids?”

No, no they didn’t. They were sufficiently supported in their bias that they felt they had provided sufficient nuance already. That’s how confirmation bias works. Highly credible material that disagrees with your opinion is considered to be not authoritative. Very weak material that supports your opinion is considered to be more authoritative. A sprinkling of supportive statements outweighs a thick coating of statements opposing your perspective.

For anyone who thinks that the recent Visual Capitalist infographic proves that EVs just aren’t all that, I would strongly recommend you confront your really obvious biases. Start here: Seeing Climate Solutions Clearly Through Biases & Missing Data Is Challenging. Still not naming names, but an honorary research fellows at a top 15 university really shouldn’t be so transparently grasping at straws.