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High gas and oil prices may be hard on working class people, and on supply chains, but they’re good for progress on the climate crisis.

I’m optimistic that cheap EVs from BYD, Slate, etc will help both sides of this tradeoff.

Ideally gas and oil prices should increase due to price on carbon regulations, not just macro events like wars or inflation, but I’ll take what I can get.

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Bridgy Fed is roughly 20k lines of code.

If you add in all the other parts of the stack that we own – granary, arroba, lexrpc, etc – it’s 51kloc total.

(Excluding tests; those add another 81kloc.)

I’m not really proud of this, or embarrassed. Just wanted to put it out there for anyone who thinks more code is better, or worse, or an important metric either way.

All code is liability. Results are what matters. Write code to do what you need to do, try to minimize it in general, but don’t over-index on it. Focus on results.

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Graph from Ember Global Electricity Review 2026 showing annual change in electricity generation breakdown

Surprising but true: in 2025, all net new electricity generation added worldwide was clean, ie non greenhouse gas emitting. 99% was renewable! 75% solar, 24% wind.

It was actually over 100% total. We added 849 TWh of generation overall in 2025, an increase of 4.5%, but GHG emitting (ie fossil fuel) generation shrank by 0.2%. Clean energy covered the gap and then some.

Even more surprising: this was true for China and India individually too. All of their net new generation added in 2025, and more, was non-emitting.

China’s overall generation grew by 5%, but its fossil fuel output fell 0.9%. Its electricity emissions have been flat for two years now. India’s generation grew 2.4%; its fossil generation fell 3.3%!

There’s plenty of bad news on the climate crisis. There’s lots of fear-mongering on energy etc, as always. But there’s more good news, and progress, than we realize.

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Much of my career boils down to:

All code is liability. Minimize it.

Feedback loops are everywhere. Speed them up; do them more.

We’re bad at predicting the future. Avoid it.

More tests.

Hire smart, motivated people, then get out of their way.

Find the right thing to turn off and on again.

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