Enhancing Data Work Efficiency and Accuracy in Election Processes

The chapter explores methods like presenting only numbers to remove bias and using control jobs to test accuracy thresholds in data work. It delves into using Stackwork to modulate trust levels and segregate users for different tasks, resulting in high efficiency. The discussion also touches on verifying election data accuracy through a consensus algorithm and multiple machine verifications, emphasizing the successful outcome of millions of jobs completed with a diverse workforce.

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Marty sits down with Carliño to discuss the events that led to Simple Proof and bitcoin being used to verify Guatemala's election.

Carliño on Twitter: https://twitter.com/carlostoriello

Digital Witness: https://digitalwitness.io

Find Carliño on Nostr: npub14advhxua8w78gl2z7q8c4s20htxkzq4cu5mhj34ep0puf7smyqzszrd7qq

0:00 - Intro
5:05 - Riffing
9:24 - Poverty is the enemy
15:57 - Getting OFAC listed and discovering bitcoin
24:03 - Austrian influence and the state of Guatemala
29:21 - Events leading to Simple Proof
42:31 - Simple Proof in practice
49:09 - Utilizing Stakwork
54:39 - Mitigating bias
1:00:05 - After the election
1:09:04 - Funneling gamified auditors to bitcoin
1:14:09 - Next elections and implementing in American counties
1:26:05 - Election statistics, bleep the thing
1:31:39 - Reciepts of truth
1:39:18 - Darkest before the dawn

Shoutout to our sponsors:

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