Part of the joy of working in digital policy in the UK is that many of your days start like this:
I, a Tory politician, have a brilliant plan / erudite commentary / a policy announcement on tech policy strategy. Click here to read it in this EXCLUSIVE Elite Broadsheet Newspaper piece.
We all know full well that this is how the game of politics works. These brilliant plans, erudite commentaries, and policy announcements aren’t made for you plebs. They’re made for the machine to feed the beast inside it.
The bipartisan deal contains a pot of money to repair America’s roads and bridges, and build a few more besides. This is the way we usually do infrastructure in America. First we build a ton of roads and bridges that are highly expensive to maintain, especially with our ruinously high construction costs (see this recent article by Jerusalem Demsas). Then, because costs are so high, we wait for a long time to repair the roads and bridges, until civil engineers start screeching, roads get potholed, and there’s a bridge collapse or two. Then we muster up the political will to throw the requisite shit-ton of money at the problem, the potholes and weak bridges get repaired for twice the amount it would have cost had we done it on a regular schedule and three times the amount it would cost if we were a normal rich country. And the whole cycle begins again.
Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.