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Encryption research methodology: deconstructing the grand narrative, and then reassembling it
Author: Pavel Paramonov
Compiled: DeepTechFlow
How to research and understand everything in cryptocurrency?
Basically, we need two key steps:
Imagine you're playing with LEGO bricks, typically you'd assemble the bricks into a whole, but what we're doing is the opposite process.
1. One of the best ways to understand a topic when you want to is to break things down into smaller parts to understand the function of each part.
From a scientific perspective, analysis is a detailed examination of the elements of the research object.
For example, if you want to learn how re-staking works, especially related to @eigenlayer. By spending 10 minutes searching for EigenLayer's description on Google, you can list the main components of re-staking:
Of course, you can also find other sections, but these are the main sections.
After dividing the structure into main parts, it is important to find the relationships between each part:
Through these four points, we can understand how each major part is connected to each other, so as to have a rough understanding of stake.
2. Always be skeptical and make everything seem unreasonable unless proven otherwise
It is very important to fully understand the topic you are studying by asking yourself questions.
The idea is to ask yourself as many questions as possible to clearly define the functionality and limitations of each part. This is also why new startups are created to address the problems of existing solutions.
That's why there are direct competitors instead of protocols built on top of @eigenlayer.
By asking yourself more specific questions related to the main parts of the product, you can not only better understand the product, but also find potential solutions to vulnerabilities and unresolved issues.
3. When you are confident in your analysis, it's time to rebuild the system from scratch using a comprehensive approach
You have asked yourself many questions and may have broken down the main parts into smaller ones.
For example, when you study how operators connect with AVS, you may learn:
Now you have an idea of how everything works. The next step is to rebuild it from scratch.
From a scientific perspective, 'integration' is to combine elements into a coherent whole, integrate all the knowledge you have learned, and attempt to reconstruct the content that you initially decomposed.
When I was a child, I often disassembled computer components to understand their characteristics and why they are important.
This has cultivated a very good learning skill: if you want to understand something, just break it down and then reassemble it.
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