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Apple is Better Placed than Most to Ride Out a Tech Downturn

Charlotte Henry ·

Despite the events of this week, in which Apple offered a revenue warning and saw its share price take a hit, the company is better placed than most other tech firms to ride out an economic storm. That’s the view of Tim Culpan, who ran the numbers for Bloomberg News. While we’ve heard warnings about the tech bubble bursting for years now, the piece certainly helps give some useful context to recent events.

When I first ran the numbers on a selection of nine companies — a mix of branded electronics, product assemblers and chipmakers — I concluded that the decade-long tech party looked headed for a nasty hangover. I’ve now added September-quarter figures to the same analysis, which includes inventory levels, turnover and cash conversion cycles. The situation is even uglier than four months ago. Apple’s warning this week that it won’t meet revenue guidance proves the initial concerns to be true, but it’s only a small part of the industry’s woes.

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Weather Channel Accused of Mining User Data

Andrew Orr ·

The Los Angeles city attorney has filed a lawsuit saying that the Weather Channel collects user data for commercial purposes, not just to provide local forecasts.

The government said the Weather Company, the business behind the app, unfairly manipulated users into turning on location tracking by implying that the information would be used only to localize weather reports. Yet the company, which is owned by IBM, also used the data for unrelated commercial purposes, like targeted marketing and analysis for hedge funds, according to the lawsuit.

The New York Times uses the word “covert” in its headline. It’s not that covert though. The Weather Channel has a How is My Data Used page. I’m not defending them but people really need to start reading privacy policies and service terms. Although using dark patterns to obfuscate this is wrong.

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Human War Follows a Universal Mathematical Law

Andrew Orr ·

Here’s something you don’t read every day. A new study of human war over the past 600 years that it appears to follow power law distribution.

The thinking goes like this. Society is a complex web of social, political, and economic forces that depend on the network of links between individuals and the countries they represent. These links are constantly rearranging, sometimes because of violence and death. When the level of rearrangement and associated violence rises above a threshold level, we describe the resulting pattern as war.

The second step is building a machine learning system that can predict when the next large-scale conflict is likely to occur. Or maybe we’ll have dystopian war AIs that will use this information against us.