"Verge actually *gained* in price after being 51% attacked. This seems totally f*cked—if blockchains aren't valuable for their security, what the hell makes them valuable?"
- Haseeb in light of Ethereum Classic's 51% attack.
THOUGHT OF THE DAY
🕵️♀️ On Privacy
Our newsletter was bound to cite The Sovereign Individualsomeday, and today is that day.
From the first chapter of the book, an observation of what an environment ripe for behavioral change looks like:
The author, James Dale Davidson, then goes on to list examples where we've seen this happen before, including the downsizing of religious institutions in the wake of the Gunpowder Revolution. I can't help but think if Davidson had to choose examples from the 2010s, he would have written something similar to last week's Harvard Business Review piece on privacy.
The HBR article recounts various data breaches, selling of data, and data policies in the last year and notes how the focus that's being placed on privacy is not a coincidence and is, in fact, related to a bigger technological trend that's been developing for some time. Though it intuitively makes sense to guess that trend is crypto/blockchain, it's not.
The trend bringing privacy to the forefront is - wait for it - machine learning.
Before we can begin to understand why machine learning is the driver behind privacy becoming "a thing" in the mainstream we need to look to another trend we're seeing in industry, and that is the convergence of "security" and "privacy."
Traditionally, security and privacy have been two separate, distinct fields: security is the safeguarding of data and privacy is the safeguarding of user identity. In the past, privacy took a backseat to the more tangible concerns of security. But we can no longer afford to deprioritize privacy because there's a new threat on the horizon: unintended inferences.
Unauthorized access to data is no longer just unauthorized access to data. It's also access to our present identity and - even more terrifying - our future identity. Ultimately, privacy has evolved from "the right to be let alone" to the right to control the data used to generate inferences we can't predict.
IN CASE YOU MISSED IT
🗞For today's trending headlines head on over here.
TD READS OF THE DAY
📖 Goodbye, Enterprise Blockchains Imran Khan with a comprehensive overview on what traditional database management systems look like, why enterprise blockchains were dead on arrival, and how QLDBs for enterprises are better poised to ride this next wave of innovation.
📖 Trends and Timescales Jill Carlson's reflections on three different trajectories (personal, company, industry) and why industry matters most.
LAUNCH OF THE DAY
🚀 Scout Scout enables Ethereum protocol teams to create dashboards and tables of their data on the blockchain and share them with the community. Think of Scout as your customized, user-friendly, internal “Block Explorer”.
As part of their ongoing governance peer review process, Storecoin has shared the “why” for their checks and balances proposal, provided an overview of their one entity, one vote approach to governance, and are now diving into specific governance issues such as the decentralized enforcement of governance itself.
This week, they provide a deep dive around Separation of Powers. By formalizing the role of different groups in their checks and balances governance proposal, they intend to prevent the gridlock that can happen when miner, developer and holder interests diverge. Review here.
To join 60+ members of the Storecoin public peer review email mailing list, join here.