Because of Everythingism we never do one thing well, we do everything badly. Because whilst these are all good objectives, often they’re at odds with each other. Sometimes the trade-offs are worth it, but often they aren’t.
In the US @EzraKlein originally called this ‘Everything Bagel Liberalism’ - the propensity for blue states and particularly big cities to layer so many requirements on policies that nothing gets done.
But in Britain, letting the perfect policy be the enemy of the good is a cross-party issue, and as much bureaucratic as it is political.
Everyone loses from Everythingism. It creates many excuses for inaction, and many veto players, who can frustrate the aims of governments.
Now, the world is complex, and policy needs to account for that, and unintended consequences. But complexity is good for describing issues, not for acting. Instead, in government policymakers are usually rewarded for making policies as complex and interdependent as possible.
Everythingism leads to distraction, what Louise Casey called “initiativits”, where government becomes so obsessed with how its own plans work that it can’t decisively act in new ways.
Everythingism means policymakers deny tradeoffs. Procurement in Britain trades off getting good value for money against vague metrics for 'social value', priced at 10% of the marks for any tender. These have not worked internationally
Everythingism paralyses institutions. It creates a “kludgeocracy” which means nothing gets done because of the accreted and interdependent layers of policy.
Everythingism is supported by an implicit belief that all good things correlate, all the time. This is a handy meme for policymakers to believe, but usually it’s false.
Everythingism makes systems unaccountable. And indeed this is preferable for people in those systems – if every policy is about every other policy, then it’s hard to blame any one policymaker for failing.
Instead of Everythingism, we need to embrace radical focus in policymaking. Using the best levers to promote a policy, and only those. The economic literature bears this approach out over the confusion of Everythingism.
If we can beat Everythingism, then there is a chance we can start to fix everything that’s going wrong.
Lots of speculation about the Chagos deal’s future at the moment.
But if it goes ahead, how does the government justify the £9 billion price tag?
The spending rules we used at the Treasury shouldn’t let them. Let’s look at why 🧵
@georgegylls has reported on how the Government has offered £9 billion over 99 years to lease back the military base on Diego Garcia
Now of course it isn’t unusual for the Government to lease territory. But clearly, the lease is part and parcel of the overall policy agreement to cede the territory to the Government of Mauritius.
We should worry about 'mission-driven' procurement, which in isolation would be a step backwards. Quick 🧵on why this kind of 'everythingism' in procurement is so dangerous.
1/ £300bn a year spent on public procurement is as much a risk as it is an opportunity.
Successive governments have seen procurement as an opportunity to reshape the economy in the ways they want, without focussing at all on its primary purpose: buying stuff the country needs.
2/ But it is a mistake to take it as a given that public procurement is effective, efficient and capable of easily supporting other policy goals. Instead the opposite is true.
The head of the NAO said procurement was really inefficient, and we could save £bns there, in 2024
Been thinking a lot about the discussion of 'data in government' after last night's panel 🧵
1/ It is very popular to say "data is the new oil" - this is a bad analogy. Oil is amazingly powerful because it's cheap to get, easily useable, and our whole economy is built around it
2/ Data isn't like that. It costs a lot to ingest, curate, and crucially to maintain it. And most of our economy is not built to effectively use it - certainly not government. The bits of the economy that have seen huge £ from using data are finance, adverts and social media.
3/ these bits are software native - they generate huge volumes of data, can process it and feed it directly back to users via software in a way which generates value and £.