Recorded

Ethereum Classic Community Call #16

ETC Principles & Philosophy with Donald McIntyre

date: Tuesday, March 8, 2022 time: 1500 UTC location: Discord
UTC15:00
PSTLos Angeles
07:00
ESTNew York
10:00
GMTLondon
15:00
CETBerlin
16:00
GSTDubai
19:00
ICTBangkok
22:00
CSTShanghai
23:00
JSTTokyo
00:00+1
AEDTSydney
02:00+1

Description

A casual voice chat to discuss ideas for ETC. All are welcome.

The ETC Discord can be joined at https://ethereumclassic.org/discord

Please join us in the #community-calls channel to ask questions or bring up topics.

Agenda

This week we will discuss Ethereum Classic Principles and Philosophy with guest Donald McIntyre

Status

Questions / Topics

  • Welcome Donald, no introduction needed, but for new listeners can you breifly discuss your involvement in blockchain?
  • Recommend Donald’s previous courses
  • Cypherpunk & Why Bitcoin was Created; why do Blockchains exist, what problem do they solve?
  • Why did The DAO Hack force Ethereum Classic to exist?
  • (How) Is Ethereum centralized, is Ethereum doomed to fail/capture?
  • What is ETC’s long term value proposition
  • ETC Foudning Documents & Principles
    • Declaration of Independence
    • Decentralist Manifesto
  • Discussion: What is Decentralization
    • Definition of Decentralization?
    • CAP theorem / Blockchain Trilemma (debate)
    • Why Decentralization?
    • Maintaining Decentralization
      • Balance of Power
      • Principles First
      • Protocol Neutrality
      • Decentralization Maximalism
  • Layer 0
  • ETC Constitution (we had the declaration of independance and decentralistr manifesto, is it time for another document to help guide future generations?)

Notes

In theoretical computer science, the CAP theorem, also named Brewer's theorem after computer scientist Eric Brewer, states that any distributed data store can only provide two of the following three guarantees:[1][2][3]

Consistency
    Every read receives the most recent write or an error.
Availability
    Every request receives a (non-error) response, without the guarantee that it contains the most recent write.
Partition tolerance
    The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.

Timezones

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