Trust status aggregator

ONE: Aggregated trust scores will be the credit score of the future

Individuals will sign up to aggregator sites, and allow them access to various kinds of trust/social standing scores.

The aggregator sites will publish trust metrics on individuals, plus finer grained reports that are more sector/purpose specific.

These will be used by all sorts of people. Employers, potential service users, lenders, .

Individuals will spend more effort curating these than they do on their credit rating. Lawsuits will be brought over harsh ratings using defamation laws drafted decades before the internet was even imagined.

The trust aggregator metric that is itself trusted will be the locus of immense influence.


My reliability as (say) a contributor to open-source coding projects has no obvious bearing on my reliability at repaying bank loans, or as a potential life partner, or as a writer, or as an event organiser. These things relate to different aspects of my personality. None of them will tell you about my politics or the refinement of my palate.

People are complicated.

Cory Doctorow wrote a novel – Down and Out in the Magic Kingdom – about a post-market society with a reputation economy based on a single metric – which he called ‘whuffie’. He later wrote that this would be a Bad Thing – that ‘Whuffie would be a terrible currency‘ – that it would become a ‘popularity contest in which the rich always get richer’. It’s worth reading the post he wrote – it’s quite scathing, and I don’t disagree with any of it. If you use eBay, read the part about the ‘long con’.

But it’s all about single-figure aggregate scores – about attempting to sum up a human being with a single integer that equates to their public worth.


Consider the current furore about ‘fake news’. Lots of people are getting excited about ways of dealing with this problem – the social network firms are being bashed, hackers are working up insta-fact checkers – it’s a regular storm in a teacup.

There has always been fake news – the Zinoviev letter which was used to raise anti-communist feeling in the UK in the 1920s, and the Blood Libel lies about Jews are among the most famous.

Ultimately, what we seek is the provenance of news – who originated the story? Do we trust them? To deal with fake news, we have to trace stories to their source and answer that question for ourselves – or , more likely, trust some-one else’s answer, as we just don’t have the time. Do I know whether Snopes is always right? Would I ever dig deeper than Snopes? Very unlikely – I trust Snopes.

Trust is the tool we use to move forward without checking every detail of everything. Where we have prior direct knowledge or experience, we can decide whether to trust on the basis of that evidence. But our world is growing exponentially wider, bringing us into contact and into exchange relationships with people and organisations about whom we know almost nothing.

Of course, this is one function of money. Money is really distributed trust – trust based in the stability of the society that uses the currency. ‘Wisdom of the crowd’ trust, embodied in portable units, an incredible human invention. Unfortunately for us, though, money is a single value metric that tells us almost nothing about what we’re trusting. It’s an all-or-nothing trust that is asked of us. Trust that the money wasn’t earned off the backs of child labour, that it isn’t a forgery, that inflation isn’t about to run mad, and, most seriously of all, that the rules haven’t been stacked in someone else’s favour – which of course they have been. Douglas Rushkoff’s book, Life, Inc. documents the history of money, how the rules of the game have been set from the start so that it’s primary purpose is extractive, rather than transactional. But that’s a different post.

So if money’s trustworthiness is compromised, but we don’t want to give up the wealth of possibilities the interwebs offer, and we’re worried about fake news, and even more worried about the creepy activities of companies like Cambridge Analytica, who claim to;

use data modeling and psychographic profiling to grow audiences, identify key influencers, and connect with people in ways that move them to action,

So, what can we trust?

One answer that is being pushed hard is blockchain. Blockchain is many things, but the single unifying characteristic that you read again and again, is that it enables exchange ‘without the need for trust’. Think about that. Exchange without trust. The idea is that whatever the rules about exchange are, they are encoded in software, as ‘smart contracts’ – contracts which, on the basis of digital inputs, will automatically be executed and recorded if the specified conditions are met.

So, in one example I saw, all the contributors to a movie project would be connected via a vast web of these smart contracts, so that when you stream it, your small payment is automatically allocated out, exactly in accordance with the agreements, to all the eligible individuals. no need for book-keepers, accountants – the whole thing is dealt with in one go, and etched in the immutable digits of the blockchain.

The number of ways in which this is foolish exceeds the scope of this post, but if we concentrate on the issue of trust, we can see one of them straight away. Who makes the contract? Who encodes the contract? Who do we trust to audit the contract? Because we’re certainly not going to be doing this ourselves – not for our miniscule share of a 4.99 streaming fee, we’re not.

So we need to trust people after all. Our agent, who makes the deal, our lawyer, who writes the contract, the coders who instantiate the contract in the blockchain code. In fact, it rather looks as if we have added this last category to the list of people we needed to trust already – thus increasing the problem, if anything. I mean, it’s not as if coders are infallible or universally saintly, right?

Don’t get me wrong – I’m not saying blockchains are useless – just that they aren’t the answer to life, death, the universe and everything.

At the end of the day (well, the day before the singularity, anyway), it always comes down to people. To trusting people you don’t know. And we always do that based on reputation – mostly in the messiest, most amateurish of ways. Ways which work less and less well the less context we have for making the judgement.

Which brings us back to the starting contention, but with some more nuanced understandings.


A Reputation flower is an aggregate of many, many reputational indicators, of many kinds, summed across many axes.

Many of these indicators will be public (the status of your driving license, your examination record, your ebay score, number of twitter followers, how many videos you have posted on YouTube and how many views they have received), and some you will have consented to release (perhaps your credit rating, your salary, your relationship status, your political party membership). Some will be hard metrics, some will be softer.

They’ll be graphed to produce your ‘flower’, with axes grouped so that the shape of the flower will become a pattern that people will be able to understand – a head-teacher will have a different characteristic shape to a politician, to a plumber, to a professional, to a coder. Different quadrants will relate to different aspects of your life. If you’re intensely private, one or more quadrants may be blank.

Data will be continuously updated. If you permit it, people will be able to watch your flower as it evolved over the past years. Characteristic patterns of this evolution will also be recognisable – making fraudulent flowers hard to produce.

You may choose to permit your flower to be used interactively – to let people zoom in on sectors, look at the fine detail (what is this person’s eBay score).

At this  point I imagine some readers recoiling in horror, and indeed I sympathise. But the scary truth is that in reality, all of this data is already being graphed. Cambridge Analytica, mentioned above, apparently boast that they hold thousands of uniques data-points about almost every US citizen, on the basis of which they purport to be able to imply all sorts of things. This data is already being mined, being used – in the dark, in secret, by big corporations. And you are getting no benefit from it.

For many, many reasons – not least the blithe profligacy with which even the most tin-foil hatted of us strews data points in our wake – privacy is dead. We can bury our heads in the sand and deny the truth of it (while happily cruising amazon for bargains, tinder for partners, facebook for gossip, walking around with our ‘phones sending out ‘hello I’m here’ signals over the wifi every 60 seconds), or we can develop new attitudes, new tools, new skills, and take ownership of our public selves. Because otherwise someone else will.




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