During #GR8, we ran an a/b test on the default sort mechanism on the grants/ page.
We wanted to test whether @gitcoin platform has the great power (& great responsibility) to affect funding of grants via its discoverability & curation tools.👇
The a/b test was between two grant landing page sorting algorithms:
1. **weighted_shuffle** - every grant has a chance of being in top 10, which is equal to their `max(5000, current_match_amount)` 2. **random_shuffle** - every grant has an equal chance of being in top 10
/2
Random shuffle is nice insofar every grant has an equal chance of being at the top, but it meant a lot of spammy/bad grants were surfaced too.
Weighted shuffle has the opposite effect (rich get richer, but filters out the riff raff). /3
Results 👇
RESULTS:
1. For users in random_shuffle split, the avg current_match_amount of a grant a user contributed to was $4302.50 2. For users in the weighted shuffle split, this avg was $4686 (+$386).
Here is an overview of the data we used (every normal grant across all 3 matching rounds, infra tech, dapp tech, and community grants were included).
Thanks to @frankchen07 for helping me munge this data. /5
As the founder of a platform that aims for credible neutrality, I am a bit uncomfortable with the results.
We've learned that the discoverability tools we create will affect the grants which the community funds most often. /6
This leads me to believe we need to decentralize this great power (and great responsibility) away from Gitcoin dev team in round 9+.
Whether that means doubling down on grant collections, incentivizing others to build Grant discoverability tools, or finding new ..
curation mechanisms that match the community's values, I am not certain yet.
Over the long arc, we want Quadratic Funding to be the optimal tool for expressing democratic preferences for funding public goods. Today's insight is one small step towards that goal.
/fin
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Gitcoin Grants has a rich dataset, which we will be leveraging along with a @cadcad_org model, as part of ongoing work with the @block_science team to build infrastructure to harden QF.
TLDR - We have identified an instance of collusion in the health round and are counting contributions we identify as colluding as being from the same account.
Next time we will have a more robust identity system.
Details 👇
2/ In the context of our new more experimental public health round, we found that 47% of contributions to a particular grant were funded by the same account.
We are taking action to change the mechanism that calculates the amounts for the health round & only the health round.
3/ Because the on-chain data provides strong evidence that these contributions are ‘collusion’ according to definition in the CLR paper, we must, for the sake of other grantees err on the side of caution and count these contributions as if they were from a single account.
i gave a talk at @efdevcon entitled ‘The Future History of the Open Internet’
this thread is a few dozen slides of eye candy! 🍭 👇 read it on the airplane home from Japan :)
/1
@EFDevcon As an engineer; abstract talks like this are out of my comfort zone.
But this topic is important to me; as our industrial age institutions crumble + we migrate to the information age... We should articulate what kind of networked species we want to evolve into.
/2
@EFDevcon Lets start by talking about the PRESENT History of the Open Internet
@trufflesuite The goal of this presentation is to articulate a cartography of the emergent territory of web3 business models. This preso is a mile wide and an inch deep. Its goal is to be a map of this category. /2
@trufflesuite So who cares about web3 business models?
When we started the Business Models Ring in 2017, Ethereum was synonymous with ICOs. Just like Email was just one app, ICOs are just one app on the internet of money.
Biz models are a way for startups + investors to pay their bills. /3
Hey CryptoTwitter, let's deconstruct the narrative that "no one is using dapps". It's just NOT TRUE. In fact, I will pay a bounty of 0.55 ETH to 5 community members help me prove it. Thread 👇👇👇
/1
The metric that people use for "activity" is layer 1 transactions per day/month. This is TOTALLY WRONG.
For the same reason you don't measure a web2 app by how many database writes it does, layer 1 transactions is NOT the right metric to measure dapp adoption.
/2
@Gitcoin is trying to lead by example here. Our KPIS are
* Active users
* Bounty completion rate
* Platform value over time
* Hourly Rates
We are putting our money (err.. ETH) where our mouth is. Checkout this page => gitcoin.co/results