Home » Posts tagged "Measurement"

Deep Dive

In contrast to the flybys typical of GM executives, his first official visit to Rüsselsheim a year ago became a six-hour inspection tour as he took a deep dive into Opel’s operations, initiating part-by-part comparisons with Peugeot and Citroën. The review uncovered hard-to-justify excesses such...
Continue reading »

Let Others Do the Work

It was a scrum. No, not the agile software method, but a bunch of people all racing after the current big defect found in the product. It was a badge of merit to be the first to figure out the defect and to report on its fix. My boss expected me to jump into this competition of egos when these problems happened.
Continue reading »

Run For The Hills?

Elon Musk, CEO of Tesla (TSLA), made a big admission on the afternoon of April 13th. Apparently channeling the Friday the 13th horror spirit, Musk announced via tweet that the electric car manufacturer had over-automated its production process: “Excessive automation at Tesla was a mistake....
Continue reading »

It’s Not All Big Data

The funny thing is many problems aren’t big enough to use the fanciest big data solutions. Sure, companies like Google or Yahoo track all of our web browsing; they have data files measured in petabytes or yottabytes. But most companies have data sets that can...
Continue reading »

This Time We’ll Do Things Differently, Promise

The B-21’s core design initiative has been to use mature and semi-mature components and subsystems not only to lower risk and to decrease development time and costs, but also to better ensure support for the aircraft over time. Although many look to history to predict...
Continue reading »

Dealing with the Uncertainty in Scientific Results

MOST EVIDENCE IN the empirical sciences is statistical in nature, and scientists rely on a variety of statistical tests to distinguish valid scientific discoveries from spurious ones. Unfortunately, there is a growing recognition that many important research findings based on statistical evidence are not reproducible,...
Continue reading »

Doing The Impossible By Using Simple Math

This is not to say Musk will realize his most ambitious goals: landing on Mars, electrifying much of the world’s transportation fleet, and accelerating the transition from a fossil-fuel to a carbon-free economy. But each is closer than most thought possible in such a short...
Continue reading »

Lies, Damn Lies, and Project Statistics

Harvey’s term for torturing the data until it confesses is “p-hacking,” a reference to the p-value, a measure of statistical significance. P-hacking is also known as overfitting, data-mining—or data-snooping, the coinage of Andrew Lo, director of MIT’s Laboratory of Financial Engineering. Says Lo: “The more...
Continue reading »

The Magic of Just Putting a Spotlight on a Problem

The team’s mission is to design policy interventions based on a scientific understanding of human behavior. Recently, for instance, hoping to fight antimicrobial resistance, they tried to persuade some prescription-happy doctors to go easy on the antibiotics. GALLAGHER: We had a very simple intervention, which...
Continue reading »

Murder He Calculated

Threats of federal intervention aside, it will be difficult to fix the problem of high murder rates without first addressing clearance rates. So it’s fortuitous, perhaps, that we are living in an age in which the analysis of data is supposed to help us decipher,...
Continue reading »

Use Your Dark Data

In the same way that dark matter is an unseen but very large part of the cosmos , dark data represents the unseen but very large part of the data that most corporations collect and store.
Continue reading »