The fact that three different companies have apparently made COVID vaccines in ~8 months makes me wonder if there's room to be a lot more ambitious about other technology projects. Like maybe we should follow the UK and ban internal combustion engines in 2030.
A lot of corporate decision-making is driven by risk aversion about future market conditions. What if your car company goes 100 percent electric and it turns out customers don't want electric cars? When that uncertainty is removed an industry can move pretty fast.
The de facto US ban on incandescent light bulbs a decade seems like an under-appreciated model. It seems to have significantly accelerated light bulb technology, and the transition happened so smoothly that most consumers barely noticed.
Now @snlester points out that the Trump administration blocked implementation of (parts of?) the incandescent ban, so this isn't a perfect example. I'm not sure I understand which parts of the ban, if any, went into effect when. washingtonpost.com/climate-enviro…
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Robert Caro's first LBJ biography includes a passage that explains how rural electrification transformed the lives of farm families, especially women. It makes a powerful case for Robert Gordon's thesis that innovations of the last 50 years pale in comparison to what came before.
The arrival of electrification relieved farm families of several categories of back-breaking labor: washing clothes by hand, milking cows by hand, canning, hauling wood to (and tending) woodstoves. Refrigeration drastically reduced milk spoilage. Plus of course electric lighting.
Big-screen TVs and smartphones are nice but they just aren't transformational the way washing machines and electric lights were to our great grandparents.
Nobody refers to Twitter as a "micro-blogging" platform any more but I think it's under-appreciated how much Twitter today fills the same niche that early blogging did.
A lot of early blog posts block-quoted a paragraph of text and then offered 1-3 paragraphs of analysis. Now we screenshot a paragraph from an article and offer 1-3 tweets of analysis.
Early bloggers spent a lot of time responding to other bloggers. Bloggers today (especially professionals) don't do that much because they're trying to maximize the readership of each post. Instead, we do short, blog-style responses here on Twitter.
Nvidia has an amazing new technology that essentially uses deepfake AI technology to reduce the bandwidth needs of video calling by 10x. Full explanation of how it works here: arstechnica.com/gadgets/2020/1…
The software sends a single frame of video. Then for subsequent frames it just sends data on the positions of the subject's eyes, nose, mouth, etc—much less data than a whole frame. The receiving computer then uses a neural network to re-create the subject's face.
Our comments have a lot of hand-wringing about how this "doesn't show reality," but I think this is based on a philosophically untenable conception of reality. A conventional video isn't "reality" it's a pixel-by-pixel approximation of reality. Even more so with compression.
People seem to think this is a compelling argument against antitrust enforcement but it's really not. Anyone familiar with economic history knows that new high-tech industries tend to have a lot of competitors in their early years before settling down.
There were dozens of oil companies in the 1860s, dozens of car companies in the 1900s, lots of small-scale experimentation with radio in the 1920s, etc. Then Standard Oil, Ford/GM/Chrsler, and NBC/ABC/CBS emerged and became dominant for decades.
It's relatively easy for new companies to emerge when the industry is still young and growing. New customers who don't yet have established brand loyalties. Untapped innovations for a new company to discover and exploit. It gets harder as the industry matures.
I made a scatterplot comparing the change in coronavirus cases over the last two weeks to cooling degree days—a proxy for air conditioning use. (Thanks @jeremy_gibbs!) The hottest states have suffered the worst outbreaks.
I think this effect explains a lot of the partisan divergence in this chart. The hottest states are all Republican. Still, at any given temperature Democratic states seem to doing modestly better, on average, than Republican states.
Lest you think the recent increase in southern states is an artifact of testing: a scatterplot of the positive coronavirus test rate shows a similar relationship. The hottest states are seeing coronavirus infections outstrip testing capacity.
I made a chart. On average, blue states have seen steadily declining coronavirus infections since mid-April. On average, red states have... not.
People asked to see the same chart with NY, NJ, and CT broken out. If anything I'd say this makes the point more strongly: red and (non-NYC) blue states were on similar trajectories until about 3 weeks ago. Then blue states started falling while red states rose.
People are also asking for similar charts for hospitalizations and deaths. My source, covidtracking.com, doesn't have good enough data on hospitalizations to make a meaningful chart—a number of states aren't reporting data at all and others seem spotty.