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That guy has a really good sense of proportion.

Burying blades is worse than burying nuclear waste?

How does ending the drug war take away 90% of their revenue. If you legalize drugs, the cartels would become legitimate producers and corner the market through fear and intimidation.

The issue is that the cartels are now endemic to the region. They're part of the government, they're extorting legal businesses, they're laundering the money and investing into legitimate businesses. You can't just undo their influence.

> I'm not saying living near a chip fab doesn't present the risks you outlined. What I'm saying is it's very likely there are comparable risks living basically anywhere that isn't very sparsely populated

Doesn't this directly contradict the incidence of cancer vs. distance to industrial pollution maps? Like you're literally many times more likely to get cancer if you live near a source of industrial pollution compared to other people who live in your same city but don't live right next to a source of industrial pollution.

Think about it like this: the volume of a sphere increases proportional to the radius cubed. That means the further you get from a source of pollution, the density of that pollution falls off by a cubic of the distance. That's quite a sharp drop off. So small sources of pollution may pose some risk, but due to the small amount of particulate combined with how fast the pollution drops off means it's not so dangerous. Very large sources of pollution, however, may be dangerous for some distance.

I thought a lot about this over night. As a parent, it's a question I constantly grapple with. "What will I tell my child when they want real-world applications of an abstract, yet extremely important, topic?"

The conclusion I've come to is that asking for practical, real-world applications in one's life misses the point. The reason to learn calculus also has nothing to with mental exercise. The reason to learn calculus is that it provides the theoretical foundation upon which modern society is built. Differential equations provide solutions to engineering formulas that allow us to build skyscrapers. We can calculate the trajectory of celestial bodies and use that information to explore our solar system and to peer into the stars. We can train machine learning models that realize our imagination. The list of things calculus enables is near-infinite.

Now, do you need to know calculus to survive? No, of course not. You can live your entire life without even needing calculus. But, calculus is one of the wonders of the world. Its beauty is similar to something like the Grand Canyon or Mt. Rainer. Yes, it takes a little work to "see" calculus, similar to how you might need hike quite a distance to reach a beautiful peak, but the view from the top is worth it. There is no need for natural beauty, too. You can easily live your life without experiencing the wonderful things nature has to offer. But to live a life without experiencing nature is dull compared to what is possible. And it's the same with calculus.

Some are just good salespeople. Selling is a large part of gaining traction. I think a lot of good salespeople go out with an idea, try to sell it to potential customers, come back with feedback on what the potential customers actually need and adjust the product accordingly. Being able to get your foot in the door with a lot of potential customers is a very valuable skill. You don't need the world's greatest idea when you start.

You’re basically asking for perfect data to answer this one very specific question. You’re unlikely to get it. I’m just presenting what we currently know. PM2.5 (a measure of air pollution) exposure is highly correlated with all cause mortality. You can see additional evidence of this by looking at cancer rates near industrial centers. Chip fabs also emit similar types of air pollution and are regulated by the EPA, similar to other industries.

You’re free to look at this data and say: “well, it doesn’t conclusively prove that living next to a chip fab is bad, so I’m fine with it.” That’s your right. You can live where ever you want. But the data suggests living near industrial sources of pollution is bad for your health. Without any data suggesting that living near a chip fab is neutral to our health, I think applying Occam’s razor is warranted.

This is not an argument against living in cities. This is only an argument that you shouldn't live next to sites with significant industrial operation if you care about your risk of cancer. Look at the map I posted. There are plenty of places in plenty of cities that don't have elevated cancer rates.

These are the EPA limits for semiconductor fabs: https://www.govinfo.gov/app/details/FR-2008-07-22/E8-16746

You’re free to live wherever you choose.

This assumes most people care about making optimal financial decisions. They don’t.

I wouldn’t want to live next to a chip foundry personally. Any type of of large industrial operation is going to pollute the air. Check out this interactive map about the likelihood of cancer [1]. Living in areas with high industrial air pollution is highly correlated with cancer.

[1]: https://projects.propublica.org/toxmap/

That’s only if you’re from Westchester. If you’re from the city, Westchester is considered upstate.

Wouldn’t the upper range, 70% recycled water, still be 3,000,000 gallons of water / day?

What would be the reason for keeping it secret? Usually, I’d expect the government to be transparent with spending unless it had a reason not to be.

And also refused to share his research progress reports when asked to by a Covid origin committee he was a member of.

A lot of backstory on this guy and his organization: https://www.vanityfair.com/news/2022/03/the-virus-hunting-no...

TLDR is that this guy was acting as a fundraiser for research at the Wuhan Institute of Virology where they were specifically making novel coronaviruses, e.g. by creating chimeric viruses of SARS and MERS, and then using those viruses for gain of function research, e.g. by infecting humanized lung tissue in mice.

A comparison against GPU rendering would also be interesting.

Both Uber and Lyft are public companies, so they can raise money on the stock market, selling bonds, convertible notes, etc.

You'll never have to do the laundry again

I'm just judging by the multiple 200+ year old trees in my own yard. There is no way anything remotely close to these trees will grow back in 30 years. Or go walk around Olympic National Park, which is very close to BC both in distance and climate. Ask yourself if it's possible to replace that forest in 30 years.

After replanting, how long does it take for the old growth trees to return? /s

It's actually pretty common to separate music and lyric writing. For instance, I'm sure you recognize names like Puccini and Verdi as famous opera composers. It was very common for someone else to write the "lyrics" to their operas (called libretto in opera). For instance, both Puccini and Verdi had Francesco Maria Piave write libretto for multiple operas. And yet, we still think of Puccini and Verdi as having written their respective operas.

Having recently implemented a WebSocket service in Go, the Javalin way seems preferable. This is what a similar Go version would look like:

    wsHandler := func(w http.ResponseWriter, r \*http.Request) {
        conn, err := upgrader.Upgrade(w, r)
        if err != nil {
            w.SendStatus(http.StatusInternalServerError)
            return
        }

        ctx, ctxCancel := context.WithCancel(context.Background())
        var wg sync.WaitGroup

        wg.Add(1)
        go func() {
            defer sync.Done()

            for {
                msg, err := conn.ReadMessage()
                if err != nil {
                    return
                }
            }
        }()

        msgPipe := make(chan []byte, 1024)
        wg.Add(1)
        go func() {
            defer wg.Done()
            for {
                select {
                case <-ctx.Done():
                    return
                case msg := <- msgPipe
                    if err := conn.WriteMessage(msg); err != nil { return }
                }
            }
        }()

        go func() {
            <- ctx.Done()
            wg.Wait()
            close(msgPipe)
        }()
    }

I like Go, but I found writing WebSocket code very annoying.

How about build a product people love? There are so many reasons listed in the article, and there are so many counter examples where companies did the opposite and still built a rabid fan base. The only unifying thread is that people will deify products they love.

I agree that it’d be nice if he could deliver on more of his promises, but selling dreams is basically the job of upper management.

Also, most other companies promise really mundane and uninteresting things. Sure, they deliver, but it’s still not much fun.

If there were biases, then the pattern of permeability would be predictable. For instance, encrypted data is not random, but it's not predictable.

Stuff like yogurt and cheese can often be tolerated by those with lactose intolerance, especially cheeses with lower lactose levels. For whey, I would verify that you're eating the same amount of whey in both cases. Obviously, powdered whey protein has the protein extracted and dried so the same amount of whey protein will weigh substantially less than whey you separate yourself.

Regarding peas and lentils: they have a ton of fiber when eaten whole. That makes a big difference.

It does