HUMANLEDGER

DRAFT SPEC · v0.1

The five principles

Get them wrong and better numbers won’t save us. Get them right and the numbers become an engineering problem.

Here is where this conversation usually goes wrong, including in my own first draft of it. Somebody proposes a metric. Everybody argues about the metric. And the argument about the metric slowly settles the principle without anyone having agreed to it.

So the principles first. Five I’d defend, and open a debate to kill some and improve others.

Non-negotiable

01

Measure the conditions of the work, never the merit of the work.

A ledger may audit the circumstances under which creative work gets made. It may never grade the work itself.

By conditions I mean things a stranger could verify without having an opinion about the output:

  • Hours — how much paid time a person actually had for the task, as opposed to how many tasks they closed.
  • Training — paid hours spent getting better at the craft, not hours spent learning this quarter’s tool.
  • Junior headcount — whether anyone is still being brought into the profession, because AI eats the entry rungs first and the damage only shows up a decade later.
  • Human authorship — who made the thing, disclosed, not assessed.
  • Rework — what was scrapped and redone, which is the honest price of a fast process.
  • Exposure — how much of someone’s week is spent on degrading or harmful work: moderating, cleaning, correcting machine output.

Every one of those is externally observable. None of them requires anybody to decide what good looks like.

And each can be set as a floor rather than a target. A floor harms nobody’s freedom. You can always exceed one, nobody is ranked by how far above it they sit, and there is no reward for faking it.

Merit is the other thing entirely. The moment a ledger scores whether work is good, somebody has to define good. That definition becomes the target. The industry optimises for it. And you have accidentally built a cultural authority: a body that decides what counts as quality creative output, in an industry whose entire job is deciding what counts as quality creative output.

The intentions of whoever holds that pen are irrelevant. This is the Act I bug applied to my own proposal: latch onto a measurable definition of good, bend the culture to maximise it, destroy the thing you were protecting. It happens by mechanism, not by malice.

So: this is the line between a labour standard, which is dull, enforceable, of the same family as working-time rules and health and safety, and a ministry of taste. Every other principle on this list is a design choice I’d happily lose an argument about. This one is the thing that stops the Human Ledger from becoming the exact failure it was written to fix.

02

Publish everything you measure.

The opposite of a human ledger is not an unmeasured world. There is no unmeasured world. It is a world measured privately.

Insurers already price AI liability. Rating agencies are learning to price knowledge loss. Those instruments exist, they are proprietary, and they measure downside protection rather than human outcome.

Compulsory publication is not a softer version of the same idea. It is the whole idea.

03

Floors, not targets.

Act I was an argument that every maximised metric eventually gets bent. A Human Ledger built as a set of targets will be gamed within two reporting cycles.

Built as thresholds you may not breach, it can’t be — there’s no upside to exceeding a floor, so there’s no incentive to fake one.

04

Count what you export.

A clean domestic ledger and a filthy supply chain are entirely compatible. We know this because we’ve already run the experiment with waste and with carbon, and had to invent border adjustment to close it.

Offshored volume has to land on the ledger of whoever commissioned it, or the ledger becomes a laundering mechanism with a nice logo.

05

Protect the unmeasured space.

A ledger that can measure everything will eventually be asked to. Some territory has to be permanently out of scope, and harder to bring into scope than an ordinary policy change.

Because premature, difficult and illegible work needs somewhere to survive until it becomes recognisable — and that is most of the work that ever mattered.

This breaks my own principle

Two of the metrics break Principle One.

The metrics in the table are not the proposal. They exist to show what these five principles look like when they have to survive contact with a real P&L. Argue with the principles; treat the numbers as illustration.

And two of them break Principle One. Originality distance and trust delta are merit judgements wearing a number’s clothing — somebody has to decide what counts as original.

I’ve left them in because I’d rather find out whether they can be rescued. First person to fix them or kill them wins.