How instead of Why

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When life is hard, we often find ourselves harping on “why” questions: “Why is this happening to me?” In those moments, Elaine Fox (author of Switch Craft: The Hidden Power of Mental Agility) suggests letting go of the “why” and asking “how” instead: “How can I change this situation?” Or perhaps you’re already asking a “how” question, but the wrong one: Instead of “How do I stop working so much?,” she explains, try an easier question: “How can I find time to go to the gym?”

Kira Newman writing in Greater Good

The Present with a Twist?

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Because time is such a slippery concept, we tend to imagine the future as the present with a twist, thus our imagined tomorrows inevitably look like slightly twisted versions of today. The reality of the moment is so palpable and powerful that it holds imagination in a tight orbit from which it never fully escapes … we fail to recognize that our future selves won’t see the world the way we see it now.

Daniel Gilbert, Stumbling on Happiness

29 Data Science & Geospatial Articles from March 2023

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Smaller, simpler neural network models are always more suitable for real-world applications

“Russia has expressed its willingness to target space assets, including commercial communications systems, adding to the U.S. urgency of developing warfighting tactics.”

US vs China—a video about the race to launch the next generation of space telescopes

China is preparing to launch its first satellites for a national low Earth orbit broadband megaconstellation to challenge SpaceX’s Starlink

Pentagon Prepares for Space Warfare as Potential Threats From China, Russia Grow

“The ideal size and intricacy of neural networks remain a matter of debate in the AI community, raising the question: Does neural network complexity matter?”

Remote sensing companies try to capture bigger piece of satellite imaging market

What data scientists need to know about machine learning

A list of free data science courses—from web scraping, statistics/probability, data analytics, SQL to business intelligence

The value of predictive models — cartography when data is very scarce

Quantum computers are a security threat before they even exist thanks to the encryption-breaking threats it posses

Space Force Wants $60 Million for Ultra-Quick Satellite Launches—with just 24 hour notice  

“The era of small satellites in Low-Earth Orbit is upon us”: Satellite manufacturers look to benefit from a multi-orbit future

China launches second classified high resolution remote sensing satellite

China’s secret naval base in Cambodia, through satellite imagery

Four machine learning trends to watch in 2023

Valuable GitHub repositories for data engineering

OpenAI’s price cut is “a warning sign that this may be a business with few producers"

“The launch of ChatGPT & Whisper APIs is expected to have a profound impact on the community of developers”

Documents detail 65-year effort to monitor an increasingly crowded orbital environment: A report on the US space surveillance network

Chinese research institutes are working to construct a quantum communications network using satellites in low and medium-to-high Earth orbits

The paradox that explains why “too much aggregation of data can become useless and start to introduce bias”

31 Generative AI Tools for text, images, & more with descriptions

A Chinese satellite launched in 2018 has been inspecting other nations' spacecraft high above Earth in geostationary orbit

Debating the rules of a conflict in orbit

Data Cleaning with Python Cheat Sheet

Diving into the world of quantum machine learning by exploring an advanced project utilizing a sample dataset

A systematic approach to retraining deep-learning artificial intelligence algorithms to deal with different situations

The difference between the roles of questions versus decisions in data science

The Motivation behind Fake News

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Fake news may be a fight not over truth, but power, according to Mike Ananny, a media scholar at the University of Southern California. Fake news “is evidence of a social phenomenon at play — a struggle between [how] different people envision what kind of world that they want.”

Ideological fake news lands in the social media feeds of audiences who are already primed to believe whatever story confirms their worldview.

Brooke Borel writing for FiveThirtyEight

Choosing the Misery

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Force yourself to make a different choice for a short time, for at least an hour. Do something physically hard that, under different circumstances, you can easily do and that you usually enjoy, perhaps a brisk walk or a short hard run. If you can do it with a good friend who is not overly sympathetic, so much the better. While you are walking or running, especially with a friend, you will notice you are not depressing. For a short time, you are not thinking about your unhappy relationship, and you feel much better. But as soon as you finish, you tend to go back to thinking about the relationship that has gone bad, and the feeling comes back. To depress, you have to keep thinking the unhappy thoughts. To stop these thoughts, change what you want or change your behavior. There is no other way.  

William Glasser, Choice Theory

Earnest was right, but no on listened

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As legend has it, Ernest Duchesne was a student at a French military medical school in the 1890s when he noticed that the hospital’s stable boys who tended the horses did something peculiar: They stored their saddles in a damp, dark room so that mold would grow on their undersurfaces. They did this, they explained, because the mold helped heal the horses’ saddle sores. Duchesne was fascinated and conducted an experiment in which he treated sick guinea pigs with a solution made from mold—a rough form of what we’d now call penicillin. The guinea pigs healed completely. Duchesne wrote up his findings in a thesis, but because he was unknown and young—only 23 at the time—the French Institut Pasteur wouldn’t acknowledge it. His research vanished, and Duchesne died 15 years later of tuberculosis (a disease that would someday be treatable with antibiotics). It would take 31 years for the Scottish scientist Alexander Fleming to rediscover penicillin, independently and with no idea that Duchesne had already done it. In those three decades, untold millions of people died of diseases that could have been cured. Failed networks kill ideas.

Clive Thompson, Smarter Than you Think

What a TikTok Ban Won't Do

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While Congress has been up in arms about TikTok, it has failed to pass even the most basic comprehensive privacy legislation to protect our data from being misused by all the tech companies that collect and mine it.

The even deeper problem is that putting TikTok under state control, banning it or selling it to a U.S. company wouldn’t solve the threats that the app is said to pose. If China wants to obtain data about U.S. residents, it can still buy it from one of the many unregulated data brokers that sell granular information about all of us. If China wants to influence the American population with disinformation, it can spread lies across the Big Tech platforms just as easily as other nations can.

it would be much more effective for China to just hack every home’s Wi-Fi router — most of which are manufactured in China and are notoriously insecure — and obtain far more sensitive data than it can get from knowing which videos we swipe on TikTok.

Investigative journalist Julia Angwin writing in the New York Times

Two kinds of Coping Strategies

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Psychologists like to group coping strategies into two main types: emotion-focused and problem-focused. Emotion-focused strategies change the way we feel, like distracting ourselves, getting support from friends, or looking at the situation from a different perspective. Problem-focused strategies, on the other hand, involve taking action to solve the problem directly.

No one strategy works all the time, and you’ll often see people get stuck in their favorite way of coping. If you tend toward distraction and denial, you might avoid dealing with a problem that you actually could have solved; if you’re an inveterate problem-solver, you might feel helpless and angry when confronting a problem—or a loved one’s—that has no solution, when all that’s really needed is support and connection. 

Kira Newman writing in Greater Good

The Secret of Success

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Survivorship bias pulls you toward bestselling diet gurus, celebrity CEOs, and superstar athletes. You look to the successful for clues about the hidden, about how to better live your life, about how you too can survive similar forces against which you too struggle. Colleges and conferences prefer speakers who shine as examples of making it through adversity, of struggling against the odds and winning.  

The problem here is that you rarely take away from these inspirational figures advice on what not to do, on what you should avoid, and that’s because they don’t know. Information like that is lost along with the people who don’t make it out of bad situations or who don’t make it on the cover of business magazines – people who don’t get invited to speak at graduations and commencements and inaugurations. 

The actors who traveled from Louisiana to Los Angeles only to return to Louisiana after a few years don’t get to sit next to James Lipton and watch clips of their Oscar-winning performances as students eagerly gobble up their crumbs of wisdom. In short, the advice business is a monopoly run by survivors. As the psychologist Daniel Kahneman writes in his book Thinking Fast and Slow, “A stupid decision that works out well becomes a brilliant decision in hindsight.”

Before you emulate the history of a famous company, Kahneman says, you should imagine going back in time when that company was just getting by and ask yourself if the outcome of its decisions were in any way predictable. If not, you are probably seeing patterns in hindsight where there was only chaos in the moment. He sums it up like so, “If you group successes together and look for what makes them similar, the only real answer will be luck.” 

Entrepreneur Jason Cohen, in writing about survivorship bias, points out that since we can’t go back in time and start 20 identical Starbucks across the planet, we can never know if that business model is the source of the chain’s immense popularity or if something completely random and out of the control of the decision makers led to a Starbucks on just about every street corner in North America. That means you should be skeptical of any book promising you the secrets of winning at the game of life through following any particular example.

David McRaney Read more here

The theory of multiples

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If you look at the world’s biggest breakthrough ideas, they often occur simultaneously to different people.

This is known as the theory of multiples, and it was famously documented in 1922 by sociologists William Ogburn and Dorothy Thomas. When they surveyed the history of major modern inventions and scientific discoveries, they found that many of the big ones had been hit upon by different people, usually within a few years of each other and sometimes within a few weeks. They cataloged 148 examples: Oxygen was discovered in 1774 by Joseph Priestley in England and Carl Wilhelm Scheele in Sweden. In 1610 and 1611, at least four different astronomers—including Galileo—independently discovered sunspots. John Napier and Henry Briggs developed logarithms in Britain, while Joost Bürgi did it independently in Germany. The law of the conservation of energy was laid claim to by four separate people in 1847. Ogburn and Thomas didn’t mention another multiple: Radio was invented around 1900 by two different engineers, working independently—Guglielmo Marconi and Nikola Tesla.

Why would the same ideas have occurred to different people at the same time? Ogburn and Thomas argued that it was because our ideas are, in a crucial way, partly products of our environment. They’re “inevitable.” When they’re ready to emerge, they do. This is because we do not work in a sealed-off, Rodin Thinker fashion.

The things we think about are deeply influenced by the state of the art around us: the conversations taking place among educated folk, the shared information, tools, and technologies at hand. If four astronomers discovered sunspots at the same time, it’s partly because the quality of lenses in telescopes in 1611 had matured to the point where it was finally possible to pick out small details on the sun and partly because the question of the sun’s role in the universe had become newly interesting in the wake of Copernicus’ heliocentric theory. If radio was developed at the same time by two people, that’s because the basic principles that underpin the technology were also becoming known to disparate thinkers.

Even if you assume the occurrence of true genius is pretty low (they estimate that one person in 100 is on the “upper tenth” of the scale for smarts), when you multiply it across the entirety of humanity, that’s still a heck of a lot of geniuses.

When you think of it that way, what’s strange is not that big ideas occurred to different people in different places. What’s strange is that this didn’t happen all the time, constantly. 

Clive Thompson Smarter Than you Think