Apple makes major podcast updates, tracking how much user’s actually listen

Apple said today that it will be using (anonymized) data from the app to show podcasters how many people are listening and where in the app people are stopping or skipping. This has the potential to dramatically change our perception of how many people really listen to a show, and how many people skip ads, as well as how long a podcast can run before people just give up.

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Meddling with Apple and Chinese Manufacturing

A nice discussion that highlights the complexity id trade policy and, thus, rhe high risks of fucking it up. I like this critique of trade criticism:

What makes Navarro’s critique challenging is that it’s not wholly wrong, at least from the American worker perspective, yet it’s not particularly actionable.

So often, that last part is overlooked: you have to actually be able to on something, despite the past. Until we have time machines, finding flaws and suggesting how we should have fixed them is little use on its own. Sure, you need a good analysis of history to figure out what to do next, but it’s deciding what to do next, and doing it, that count.

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Apple AirPods will force you to use your Apple Watch more

The lack of physical controls is very … well … Apple. It’s part of what makes the AirPods so attractive but also can be maddening if you want to change the volume or skip a track without talking out loud to Siri. If you have an Apple Watch, you can get around this without pulling your phone out of your pocket or purse. I think this shortcoming will be the biggest complaint about AirPods.

Source: “Initial Impressions of the Apple AirPods”

A nice description of why large, business case driven companies innovate less

But this can be a toxic formula. The financial optimization algorithm always prioritizes the known over the unknown since the known can be measured and is assigned a quantum of value while the unknown is “discounted” with a steep hurdle rate, and assigned a near zero net present value. Thus the financial algorithm leads to promoting efficiency at the expense of creation. Efficiency may be the right priority when times are difficult and resources are scarce but creativity is the right priority in a time of plenty. And abundance is what being big is all about.

Priorities in a time of plenty