Tag Archives: economics

Tesla’s Powerwall: Reading the Meter

Image of Tesla Powerwall battery.
Photo by Tesla Energy.

April 2015 saw Tesla Motors’ entry into the home and industrial battery market. Thousands of pre-orders – and more than a little hype – attended the announcement, and it’s easy to see why: The promise of a cost-effective home battery, one that could make self-storage an equal or better option for solar customers than the prevailing sell-and-buyback model, could revolutionize the solar industry.

Yet some experts argue that the battery is not all it’s cracked up to be, while harsher critics accuse Tesla of using the storage cells as big green stalking horses, part of a plan to bilk taxpayers into subsidizing the company’s massive battery factory and R&D facility in Nevada. Read on as I make the connections in …

How the Tesla Powerwall Works

The Topsy-Turvy World of Trendspotting

Poster of Alexander Trend forecasters project everything from staffing and hiring needs to next year’s “it” color. Through a combination of instinct, experience, statistical modeling and not a little bit of finger-crossing, they tell clients where best to place their billion-dollar bets. Even granting the occasional self-fulfilling prophecy, it’s never been an easy gig, and the consequences of failure can be ruinous.

Today, big data is changing the field, providing unprecedented amounts of information even as it churns out predictive algorithms no one quite understands. In this article, I take a look at the past and future of this prognosticative trade and examine …

How Trend Forecasters Work

A Brief History of the Affordable Care Act

President Barack Obama signs the health insurance reform bill in the East Room of the White House, March 23, 2010.
President Obama signs the health insurance reform bill. (Official White House Photo by Chuck Kennedy)

The Patient Protection and Affordable Care Act of 2010 is the latest milestone in a century-long struggle to reform healthcare in America and the most significant achievement in that area since President Lyndon Johnson signed Medicare and Medicaid into law in 1965. Its passage was a hard-won victory marred by compromise and sapped by a ceaseless campaign to block its passage, halt its implementation and gut its funding – a struggle that continues to this day. Already the ACA has overcome one Supreme Court challenge, with another appearance before the highest court in the land likely in 2015.

Amid all the wrangling and vitriol, it’s easy to lose track of what happened and when, but don’t worry. My latest article has you covered.

The History of the Affordable Care Act

The Internet of Things…that Go Bump in the Night

An artist's rendering of the Internet of Things.
Drawing by wilgengebroed.

As sci-fi and techno-horror flicks are fond pointing out, the future is chock-full of things that want to kill us. Yep, our own technological progeny want to consign us to the great bit-bucket in the sky but, hey, at least we were warned, right?

Well, sure, if we had any intention of heeding these cinematic Cassandras. Think about it: The Terminator warns us about Skynet, so what do we do? We set to work on autonomous drones. Christine  frightens us with a possessed 1958 Plymouth Fury, so we get busy designing self-driving cars. It’s like we want to die.

And then there’s the Internet of Things: Trillions of everyday objects exchanging data, everywhere, all the time, with only the most basic human oversight. Can’t wait to see how that one turns out.

10 Nightmare Scenarios From the Internet of Things

The Causation-Correlation Conflation

Not equal signThe question of cause  has haunted science and philosophy from their earliest days, in part because humans are wired for pattern-matching and confirmation bias. For all our supposed rationality, we confuse coincidence with correlation and correlation with causality.

Consequently, scientists must carefully design and control their experiments to remove bias, circular reasoning, self-fulfilling prophecies and hidden variables. They must respect the requirements and limitations of their methods, draw from representative samples and not overstate their results. Sometimes, however, that’s easier said than done. Read on to hear about…

10 Correlations that are Not Causations