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Dawn of the Data Age Lecture Series
Interpreting Data Like a Pro
Hi. I’m Luciano Pesci, PhD…
Founder & CEO, EMPERITAS
● Team of economists & data scientists delivering crypto economic intelligence.
Founder & Director, Utah Community Research Group, Univ. of Utah
● Teach microeconomics, data science, applied research, & American economic history.
2
Crypto Econ Crash Course Outline
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
3
4An Intro to Crypto
What is Crypto?*
● Formal definition:
○ Crypto is an ubiquitous term for cryptocurrencies
& their related blockchain based substitutes.
● It’s mostly money (for now):
○ Unit of measure
○ Medium of exchange
○ Store of wealth
5
*Why Crypto will Kill Cash: goo.gl/9xUMrj
It’s Idealistic
● Built on notions of individual sovereignty in
all things, especially the control of wealth.
● Improves the world through transparency
& voluntary democratic participation.
○ Breaking down national borders and allowing for
new exchange (commodities, people & ideas).
6
Crypto Isn’t Tulips
7
● Performance of crypto in 2017 has been
compared to the Dutch Tulip Mania.*
○ Tulips had no meaningful impact on Dutch economy.
○ Tulips are $58M a year industry in US.**
● Crypto is different because the underlying
blockchain technology has huge utility.
○ Mostly around the nature of trust in human society.
*When 10 Tulips Cost More Than a House: goo.gl/v54wi3
**US Tulip Sales 2002-2015: goo.gl/XWMa15
What is Blockchain?*
● Idea born in 1991 for document control.**
○ Same year Terminator 2 was released.
○ A decentralized database (ledger).
● Credit usually given to Bitcoin. Most
blockchains are characterized by:
○ Block, hash, nodes & consensus
8
*Blockchain Simply Explained: youtu.be/SSo_EIwHSd4
**Blockchain History: goo.gl/3SP4Qz
Revolutionize The World
9
● The power of blockchain is that it
fundamentally changes the nature of trust.
○ This is why its earliest viable use was as money.
● Decentralized systems are more flexible
& adaptive than centralized systems.
○ Both are dependent on perfect information,
but blockchain moves us closer to that goal.
Haters Gonna Hate
● Blockchain & crypto are early in
their individual product life cycles.*
○ This is where j-curve growth happens
on the way to broad market adoption.
● Some economists are calling for it
to be regulated out of existence.**
○ Silk Road, Terrorism, ICO Fraud, ...
10
*Product Life Cycle (00:22:03): youtu.be/G29eZIeWljc
**Stiglitz Says “Outlaw Bitcoin”: goo.gl/mn4j5a
Equal Comparisons?
● A zero tolerance standard for other products
used in illicit or black markets would make
a large number of verticals vanish overnight.
● FIAT (government issued paper money)
would have to be banned since 90%
of USD bills contain cocaine residue.*
11
*Cocaine Traces on US Bills: goo.gl/LMF1LQ
But It’s Hackable!!
● The ability to get hacked doesn’t justify
banning technology with net positive benefits.
● FIAT is constantly (hacked) counterfeited.
○ $200M (~1.6%) counterfeit USD is in circulation.
○ Superdollars are a prized export of North Korea.*
12
*Superdollars: goo.gl/jGTcEd
Generation Zero Crypto
● Cryptos created before 2016 are effectively
generation zero. These were mostly money.
○ Genetics type links between some (forks).
○ They inspired the next generation.
● Top 5 cryptos by market capitalization:*
○ BTC, ETH, XRP, BTH & EOS
○ Makeup 63% of ~$300B crypto market
13
*Coinmarketcap (View All): goo.gl/tF6CuS
Forks & Exchanges
● Forks - crypto built on an existing blockchain.
○ Litecoins “soft fork” (backwards compatible).
○ ERC20 protocol has hundreds of tokens using it.*
● Exchanges - places to buy & sell tokens.
○ Similar to financial markets, but can be auctions.
■ Differ from direct or brokered trades.
14
*ERC20 Tokens: goo.gl/jSxvbZ
Tokens Types
● Rapidly growing number of ways to
categorize blockchain-based cryptos:
○ Securities token
○ Utility token (including equity tokens)
○ Either can be “store-of-value” token
● Federal definitions of what crypto is vary
& contribute to current legal ambiguity.*
15
*Differing Definitions & Regulations: goo.gl/aqMmRo
Wallets*
● A wallet lets you control your crypto tokens.
○ Really just comes down to access of private key.
● Since changes to the blockchain are
permanent, security is very important:
○ Hot Wallet - connected to the internet
○ Cold Wallet - not connected to the internet
16
*Crypto Wallets: goo.gl/d3LY8N
Smart Contracts
● Functions like a legal contact but isn’t in a
human language, it’s coded (programmed).
● Highly transparent and have potential to
eliminate a huge number of legal disputes.
○ You just have to be able to read the code to
consent, then the rest happens no matter what.
17
Following FED Thinking
● Crypto’s monetary mentality is lessening
with the next generation of tokens.
○ But it’s still pretty bad right now.
● Some are copying FED behavior.
○ An “airdrop” is just a private sector
attempt at stimulus economics.
18
Generation One = Utility
● ICO’s & entrants from 2016-2018 represent
an inflection point with gen one cryptos.
○ Some are money, others have a work function.*
● Founders are pushing crypto’s legal
definitions by embracing “utility.”
○ Global participation is fueling innovation.
19
*New Models of Utility Tokens: goo.gl/V2K5eg
A Whitepaper Manifesto
● Following Bitcoin’s example, virtually
every crypto issues a whitepaper.
○ Outlines the governance, tokenomics,
marketing strategy, tech specs, etc.
● This ecosystem is being databased.
○ ~2,000 whitepapers and climbing.*
20
*Blockchair.Whitepapers: goo.gl/ZGA782
21Coming Up Next...
Crypto Econ Crash Course Outline
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
22
LUCIANO@EMPERITAS.COM
@ElemenTactical
Lucianopesci
t.me/emperitas
Let’s Talk Crypto Econ
23
Dawn of the Data Age Lecture Series
Interpreting Data Like a Pro
Hi. I’m Luciano Pesci, PhD…
Founder & CEO, EMPERITAS
● Team of economists & data scientists delivering crypto economic intelligence.
Founder & Director, Utah Community Research Group, Univ. of Utah
● Teach microeconomics, data science, applied research, & American economic history.
25
Crypto Econ Crash Course Outline
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
26
27Tokenomics ≠ Crypto Economics
Anatomy of a Crypto Token?*
● Governance & Market
○ Legal structure & treasury rules
○ Consensus & regulation
● Economic Model
○ Incentives & network effects
○ Competitors
● Humans & Machines
○ Token holders, validators, ambassadors, ...
○ Technology stack
28
*Tokenomics 101: What’s In a Token?: goo.gl/nt9xka
Governance
● This covers all the rules that guide the token
and any company that might exist behind it.
○ Also includes treasury & allocation details.
○ Details about consensus are important to examine.
● If the token acts as a utility token then
this also includes the full business model.
29
A Market
● Cryptos are still a product which means they
have to find their “product-market fit.”
○ This proved key to Silicon Valley startup success.
● Best done with agile qualitative research.*
○ Certain problems (like pricing) need quantitative
research but this can also be done agilely.**
30
*Agile Qualitative Research: goo.gl/Lydo6c
**Step Up Survey Research: goo.gl/rY6APv
Economic Model - Incentives
● The main feature of most new crypto
whitepapers is their Tokenomics.
○ These are often vague & more closely
resemble accounting summaries.
● A explanation of incentive behavior
for the token should be crystal clear.
○ Must look beyond marco supply & price.
31
Economic Model - Network Effects
● Another key part of any crypto’s economic
model is its token adoption strategy.
○ “Word of mouth” network effects can be proxied by NPS.*
● Network effects don’t last forever because
of the law of diminishing returns.
○ They set in as a crypto traverses its product life cycle.**
32
*Net Promoter Score (00:51:54): youtu.be/SirK0SSBeZg
**Diminishing Returns (00:27:17): youtu.be/G29eZIeWljc
Crypto’s Diverse Humans
● Focus should be on individuals who are
going to actually use the crypto token.*
○ 1 in 5 holders brings 80% of total value.**
● Cryptos also depend to differing
degrees on other groups of humans:
○ Validators, Ambassadors, Founders, Advisors, ...
○ Spread across many national borders.
33
*Data-Driven Customer Profiles: goo.gl/Z7jjNV
**Pareto Principle (00:04:16): youtu.be/pyNrxUB-tBc
Crypto’s Technology Stack
● Next gen crypto heavily depends on tech:
○ App/platform
○ Financial & digital marketing tools
○ Competitive & market intelligence
○ Customer experience feedback systems
● Cryptos are also being built on more complex
technology stacks, and the data is amazing.
34
Tokenomics
● The first attempt to explain these complex
cryptocurrency systems was Tokenomics.
○ Also known as “Token Economics.”
● Relies almost exclusively on monetary &
financial market economic theory.
35
A Monetary Mindset
● Most gen zero & gen one cryptos are
trying to be a competitor for FIAT money.
● This has influenced what’s considered
to be the current field of Tokenomics.
○ Equation of exchange is usually the
extent of econ in crypto whitepapers.
36
A Financial Focus
● Crypto has been compared to securities.
○ This is also where most of the regulatory
action is happening (for the moment).
● This is because people want to hold it,
which creates investment incentives.
○ Only needs a net present value greater
than FIAT for a rational flight to crypto.
37
Tokenomics Isn’t Enough
● Tokenomics doesn’t explain the “why” behind a
crypto and is being eclipsed by crypto economics:
“Crypto economics is a way of doing incentivized
mechanism design to enable many actors to
contribute their resources to validating
transactions and securing that network...”
-Joe Lubin, Ethereum Co-Founder (at SXSW)
38
39Coming Up Next...
Crypto Econ Crash Course Outline
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
40
LUCIANO@EMPERITAS.COM
@ElemenTactical
Lucianopesci
t.me/emperitas
Let’s Talk Crypto Econ
41
Dawn of the Data Age Lecture Series
Interpreting Data Like a Pro
Hi. I’m Luciano Pesci, PhD…
Founder & CEO, EMPERITAS
● Team of economists & data scientists delivering crypto economic intelligence.
Founder & Director, Utah Community Research Group, Univ. of Utah
● Teach microeconomics, data science, applied research, & American economic history.
43
Crypto Econ Crash Course Outline
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
44
45Next Frontier for Crypto Economics
Product-Market Fit Research
● Too many cryptos are being built on
untested & underdeveloped ideas.
○ No matter how passionate you are, you aren’t the
entire market. You need to talk to other people.
● There’s a specific research method
pioneered by Silicon Valley for doing this.*
○ “Get out of the building and talk to customers.”
46
*Lean Customer Discovery Research: goo.gl/1ycitk
Market Intelligence
● Your crypto is part of the global market
which means you’re subject to its will.
○ It can change dramatically in an instant.
● Macroeconomic forecasts should be
included in your crypto economic model.
○ Regulation “shocks” should also be tested.
47
Competitive Intelligence
● You don’t just compete with other cryptos.
○ If you’re a monetary crypto you’re facing down
an 800 lb gorilla known as Government.
● FIAT is modelled extensively by economists.
○ If you’re not doing the same for your token,
how can you possibly compete with them?
48
Agents (aka Personas)
● Assessing crypto on averages alone is bad.
○ Look at measures of shape, center & spread.*
○ Track and compare all of these over time.
● Divide your humans into 5 subgroups each
represented by an archetypal agent.**
○ The Pareto group should be one of these.
○ These add incredible precision to simulations.
49
*Interpreting Data Like a Pro: goo.gl/1oCTUj
**Identifying Personas with Agile: goo.gl/qSuYVr
Cost Analysis
● Costs are within your control, regardless
of your crypto’s life cycle position.*
○ The more data you collect the more you control.
● This is especially important for the utility
tokens that also have to run a business.
50
*Think Like An Economist (00:24:42): youtu.be/G29eZIeWljc
Supply & Demand
● First place you should use microeconomics
is to model overall supply & demand:
○ Supply requires cost details &
production (technical ops) data.
○ Demand requires holder preferences
& price sensitivity data.
51
General Equilibrium
● Everything in the market has a natural
gravitation toward specific outcomes.
○ Price is guided by this “invisible hand.”
● If you’re collecting the right data over time
you can forecast all of these marco metrics.
○ This will help you limit speculation & velocity.*
52
*Cryptocurrencies’ Biggest Weakness: goo.gl/oR2TdR
Best Response & Game Theory
● With data about your crypto & competitors
you hit the next level of crypto economics.
○ This is the world of game theory.
● You can know a best response to shocks
or market changes before they happen.
○ Creates stability in your predictions of value.
53
Simulation
● Basically the matrix but for crypto tokens.
○ Digital world represented by equations that dictate
everything, but account for randomness & shocks.
● Using rules & models built with real data you
test millions of iterations about your crypto.
○ Shows convergence to equilibrium & limits of token.
54
Crypto’s Unified Theory
● Crypto economics provides a complete
unified theory (unlike Tokenomics).
○ It’s better for analyzing why tokens have value.
● It sees tokens as a mini crypto economy.
○ It’s the key to 2nd gen crypto success.
55
56Bringing It All Home
What We Covered in this Crash Course...
● Part 1: An Intro to Crypto
● Part 2: Tokenomics isn’t Crypto Economics
● Part 3: Next Frontier for Crypto Economics
57
58How To Keep Learning...
You Should Read - [Why Crypto Will Kill Cash]*
Authored by Luciano Pesci & the Emperitas crew (researchers).
Cliff Notes: Crypto fulfills all of the formal requirements of money in economics: it’s a
store of wealth, a unit of measure, and a medium of exchange. But it also does a lot
of things cash can’t (like produce amazing data). The efficiency gains of this
additional value (utility) is driving a revolutionary monetary moment.
59
*Why Crypto Will Kill Cash (and governments too): goo.gl/YLSz95
You Should Listen - [World-Shaking Crypto Power]*
MarketScale Podcast featuring Luciano Pesci.
Cliff Notes: Crypto took the world by storm in 2017 and early adopters (rightfully)
profited from their foresight. Now a new generation of crypto tech has emerged and
promises to move blockchain beyond monetary competitors. In the process it will
change the nature of trust & exchange, creating a better future.
60
*World-Shaking Power of Cryptocurrency: goo.gl/YLSz95
LUCIANO@EMPERITAS.COM
@ElemenTactical
Lucianopesci
t.me/emperitas
Let’s Talk Crypto Econ
61

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Crypto Economics Crash Course

  • 1. Dawn of the Data Age Lecture Series Interpreting Data Like a Pro
  • 2. Hi. I’m Luciano Pesci, PhD… Founder & CEO, EMPERITAS ● Team of economists & data scientists delivering crypto economic intelligence. Founder & Director, Utah Community Research Group, Univ. of Utah ● Teach microeconomics, data science, applied research, & American economic history. 2
  • 3. Crypto Econ Crash Course Outline ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 3
  • 4. 4An Intro to Crypto
  • 5. What is Crypto?* ● Formal definition: ○ Crypto is an ubiquitous term for cryptocurrencies & their related blockchain based substitutes. ● It’s mostly money (for now): ○ Unit of measure ○ Medium of exchange ○ Store of wealth 5 *Why Crypto will Kill Cash: goo.gl/9xUMrj
  • 6. It’s Idealistic ● Built on notions of individual sovereignty in all things, especially the control of wealth. ● Improves the world through transparency & voluntary democratic participation. ○ Breaking down national borders and allowing for new exchange (commodities, people & ideas). 6
  • 7. Crypto Isn’t Tulips 7 ● Performance of crypto in 2017 has been compared to the Dutch Tulip Mania.* ○ Tulips had no meaningful impact on Dutch economy. ○ Tulips are $58M a year industry in US.** ● Crypto is different because the underlying blockchain technology has huge utility. ○ Mostly around the nature of trust in human society. *When 10 Tulips Cost More Than a House: goo.gl/v54wi3 **US Tulip Sales 2002-2015: goo.gl/XWMa15
  • 8. What is Blockchain?* ● Idea born in 1991 for document control.** ○ Same year Terminator 2 was released. ○ A decentralized database (ledger). ● Credit usually given to Bitcoin. Most blockchains are characterized by: ○ Block, hash, nodes & consensus 8 *Blockchain Simply Explained: youtu.be/SSo_EIwHSd4 **Blockchain History: goo.gl/3SP4Qz
  • 9. Revolutionize The World 9 ● The power of blockchain is that it fundamentally changes the nature of trust. ○ This is why its earliest viable use was as money. ● Decentralized systems are more flexible & adaptive than centralized systems. ○ Both are dependent on perfect information, but blockchain moves us closer to that goal.
  • 10. Haters Gonna Hate ● Blockchain & crypto are early in their individual product life cycles.* ○ This is where j-curve growth happens on the way to broad market adoption. ● Some economists are calling for it to be regulated out of existence.** ○ Silk Road, Terrorism, ICO Fraud, ... 10 *Product Life Cycle (00:22:03): youtu.be/G29eZIeWljc **Stiglitz Says “Outlaw Bitcoin”: goo.gl/mn4j5a
  • 11. Equal Comparisons? ● A zero tolerance standard for other products used in illicit or black markets would make a large number of verticals vanish overnight. ● FIAT (government issued paper money) would have to be banned since 90% of USD bills contain cocaine residue.* 11 *Cocaine Traces on US Bills: goo.gl/LMF1LQ
  • 12. But It’s Hackable!! ● The ability to get hacked doesn’t justify banning technology with net positive benefits. ● FIAT is constantly (hacked) counterfeited. ○ $200M (~1.6%) counterfeit USD is in circulation. ○ Superdollars are a prized export of North Korea.* 12 *Superdollars: goo.gl/jGTcEd
  • 13. Generation Zero Crypto ● Cryptos created before 2016 are effectively generation zero. These were mostly money. ○ Genetics type links between some (forks). ○ They inspired the next generation. ● Top 5 cryptos by market capitalization:* ○ BTC, ETH, XRP, BTH & EOS ○ Makeup 63% of ~$300B crypto market 13 *Coinmarketcap (View All): goo.gl/tF6CuS
  • 14. Forks & Exchanges ● Forks - crypto built on an existing blockchain. ○ Litecoins “soft fork” (backwards compatible). ○ ERC20 protocol has hundreds of tokens using it.* ● Exchanges - places to buy & sell tokens. ○ Similar to financial markets, but can be auctions. ■ Differ from direct or brokered trades. 14 *ERC20 Tokens: goo.gl/jSxvbZ
  • 15. Tokens Types ● Rapidly growing number of ways to categorize blockchain-based cryptos: ○ Securities token ○ Utility token (including equity tokens) ○ Either can be “store-of-value” token ● Federal definitions of what crypto is vary & contribute to current legal ambiguity.* 15 *Differing Definitions & Regulations: goo.gl/aqMmRo
  • 16. Wallets* ● A wallet lets you control your crypto tokens. ○ Really just comes down to access of private key. ● Since changes to the blockchain are permanent, security is very important: ○ Hot Wallet - connected to the internet ○ Cold Wallet - not connected to the internet 16 *Crypto Wallets: goo.gl/d3LY8N
  • 17. Smart Contracts ● Functions like a legal contact but isn’t in a human language, it’s coded (programmed). ● Highly transparent and have potential to eliminate a huge number of legal disputes. ○ You just have to be able to read the code to consent, then the rest happens no matter what. 17
  • 18. Following FED Thinking ● Crypto’s monetary mentality is lessening with the next generation of tokens. ○ But it’s still pretty bad right now. ● Some are copying FED behavior. ○ An “airdrop” is just a private sector attempt at stimulus economics. 18
  • 19. Generation One = Utility ● ICO’s & entrants from 2016-2018 represent an inflection point with gen one cryptos. ○ Some are money, others have a work function.* ● Founders are pushing crypto’s legal definitions by embracing “utility.” ○ Global participation is fueling innovation. 19 *New Models of Utility Tokens: goo.gl/V2K5eg
  • 20. A Whitepaper Manifesto ● Following Bitcoin’s example, virtually every crypto issues a whitepaper. ○ Outlines the governance, tokenomics, marketing strategy, tech specs, etc. ● This ecosystem is being databased. ○ ~2,000 whitepapers and climbing.* 20 *Blockchair.Whitepapers: goo.gl/ZGA782
  • 22. Crypto Econ Crash Course Outline ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 22
  • 24. Dawn of the Data Age Lecture Series Interpreting Data Like a Pro
  • 25. Hi. I’m Luciano Pesci, PhD… Founder & CEO, EMPERITAS ● Team of economists & data scientists delivering crypto economic intelligence. Founder & Director, Utah Community Research Group, Univ. of Utah ● Teach microeconomics, data science, applied research, & American economic history. 25
  • 26. Crypto Econ Crash Course Outline ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 26
  • 28. Anatomy of a Crypto Token?* ● Governance & Market ○ Legal structure & treasury rules ○ Consensus & regulation ● Economic Model ○ Incentives & network effects ○ Competitors ● Humans & Machines ○ Token holders, validators, ambassadors, ... ○ Technology stack 28 *Tokenomics 101: What’s In a Token?: goo.gl/nt9xka
  • 29. Governance ● This covers all the rules that guide the token and any company that might exist behind it. ○ Also includes treasury & allocation details. ○ Details about consensus are important to examine. ● If the token acts as a utility token then this also includes the full business model. 29
  • 30. A Market ● Cryptos are still a product which means they have to find their “product-market fit.” ○ This proved key to Silicon Valley startup success. ● Best done with agile qualitative research.* ○ Certain problems (like pricing) need quantitative research but this can also be done agilely.** 30 *Agile Qualitative Research: goo.gl/Lydo6c **Step Up Survey Research: goo.gl/rY6APv
  • 31. Economic Model - Incentives ● The main feature of most new crypto whitepapers is their Tokenomics. ○ These are often vague & more closely resemble accounting summaries. ● A explanation of incentive behavior for the token should be crystal clear. ○ Must look beyond marco supply & price. 31
  • 32. Economic Model - Network Effects ● Another key part of any crypto’s economic model is its token adoption strategy. ○ “Word of mouth” network effects can be proxied by NPS.* ● Network effects don’t last forever because of the law of diminishing returns. ○ They set in as a crypto traverses its product life cycle.** 32 *Net Promoter Score (00:51:54): youtu.be/SirK0SSBeZg **Diminishing Returns (00:27:17): youtu.be/G29eZIeWljc
  • 33. Crypto’s Diverse Humans ● Focus should be on individuals who are going to actually use the crypto token.* ○ 1 in 5 holders brings 80% of total value.** ● Cryptos also depend to differing degrees on other groups of humans: ○ Validators, Ambassadors, Founders, Advisors, ... ○ Spread across many national borders. 33 *Data-Driven Customer Profiles: goo.gl/Z7jjNV **Pareto Principle (00:04:16): youtu.be/pyNrxUB-tBc
  • 34. Crypto’s Technology Stack ● Next gen crypto heavily depends on tech: ○ App/platform ○ Financial & digital marketing tools ○ Competitive & market intelligence ○ Customer experience feedback systems ● Cryptos are also being built on more complex technology stacks, and the data is amazing. 34
  • 35. Tokenomics ● The first attempt to explain these complex cryptocurrency systems was Tokenomics. ○ Also known as “Token Economics.” ● Relies almost exclusively on monetary & financial market economic theory. 35
  • 36. A Monetary Mindset ● Most gen zero & gen one cryptos are trying to be a competitor for FIAT money. ● This has influenced what’s considered to be the current field of Tokenomics. ○ Equation of exchange is usually the extent of econ in crypto whitepapers. 36
  • 37. A Financial Focus ● Crypto has been compared to securities. ○ This is also where most of the regulatory action is happening (for the moment). ● This is because people want to hold it, which creates investment incentives. ○ Only needs a net present value greater than FIAT for a rational flight to crypto. 37
  • 38. Tokenomics Isn’t Enough ● Tokenomics doesn’t explain the “why” behind a crypto and is being eclipsed by crypto economics: “Crypto economics is a way of doing incentivized mechanism design to enable many actors to contribute their resources to validating transactions and securing that network...” -Joe Lubin, Ethereum Co-Founder (at SXSW) 38
  • 40. Crypto Econ Crash Course Outline ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 40
  • 42. Dawn of the Data Age Lecture Series Interpreting Data Like a Pro
  • 43. Hi. I’m Luciano Pesci, PhD… Founder & CEO, EMPERITAS ● Team of economists & data scientists delivering crypto economic intelligence. Founder & Director, Utah Community Research Group, Univ. of Utah ● Teach microeconomics, data science, applied research, & American economic history. 43
  • 44. Crypto Econ Crash Course Outline ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 44
  • 45. 45Next Frontier for Crypto Economics
  • 46. Product-Market Fit Research ● Too many cryptos are being built on untested & underdeveloped ideas. ○ No matter how passionate you are, you aren’t the entire market. You need to talk to other people. ● There’s a specific research method pioneered by Silicon Valley for doing this.* ○ “Get out of the building and talk to customers.” 46 *Lean Customer Discovery Research: goo.gl/1ycitk
  • 47. Market Intelligence ● Your crypto is part of the global market which means you’re subject to its will. ○ It can change dramatically in an instant. ● Macroeconomic forecasts should be included in your crypto economic model. ○ Regulation “shocks” should also be tested. 47
  • 48. Competitive Intelligence ● You don’t just compete with other cryptos. ○ If you’re a monetary crypto you’re facing down an 800 lb gorilla known as Government. ● FIAT is modelled extensively by economists. ○ If you’re not doing the same for your token, how can you possibly compete with them? 48
  • 49. Agents (aka Personas) ● Assessing crypto on averages alone is bad. ○ Look at measures of shape, center & spread.* ○ Track and compare all of these over time. ● Divide your humans into 5 subgroups each represented by an archetypal agent.** ○ The Pareto group should be one of these. ○ These add incredible precision to simulations. 49 *Interpreting Data Like a Pro: goo.gl/1oCTUj **Identifying Personas with Agile: goo.gl/qSuYVr
  • 50. Cost Analysis ● Costs are within your control, regardless of your crypto’s life cycle position.* ○ The more data you collect the more you control. ● This is especially important for the utility tokens that also have to run a business. 50 *Think Like An Economist (00:24:42): youtu.be/G29eZIeWljc
  • 51. Supply & Demand ● First place you should use microeconomics is to model overall supply & demand: ○ Supply requires cost details & production (technical ops) data. ○ Demand requires holder preferences & price sensitivity data. 51
  • 52. General Equilibrium ● Everything in the market has a natural gravitation toward specific outcomes. ○ Price is guided by this “invisible hand.” ● If you’re collecting the right data over time you can forecast all of these marco metrics. ○ This will help you limit speculation & velocity.* 52 *Cryptocurrencies’ Biggest Weakness: goo.gl/oR2TdR
  • 53. Best Response & Game Theory ● With data about your crypto & competitors you hit the next level of crypto economics. ○ This is the world of game theory. ● You can know a best response to shocks or market changes before they happen. ○ Creates stability in your predictions of value. 53
  • 54. Simulation ● Basically the matrix but for crypto tokens. ○ Digital world represented by equations that dictate everything, but account for randomness & shocks. ● Using rules & models built with real data you test millions of iterations about your crypto. ○ Shows convergence to equilibrium & limits of token. 54
  • 55. Crypto’s Unified Theory ● Crypto economics provides a complete unified theory (unlike Tokenomics). ○ It’s better for analyzing why tokens have value. ● It sees tokens as a mini crypto economy. ○ It’s the key to 2nd gen crypto success. 55
  • 57. What We Covered in this Crash Course... ● Part 1: An Intro to Crypto ● Part 2: Tokenomics isn’t Crypto Economics ● Part 3: Next Frontier for Crypto Economics 57
  • 58. 58How To Keep Learning...
  • 59. You Should Read - [Why Crypto Will Kill Cash]* Authored by Luciano Pesci & the Emperitas crew (researchers). Cliff Notes: Crypto fulfills all of the formal requirements of money in economics: it’s a store of wealth, a unit of measure, and a medium of exchange. But it also does a lot of things cash can’t (like produce amazing data). The efficiency gains of this additional value (utility) is driving a revolutionary monetary moment. 59 *Why Crypto Will Kill Cash (and governments too): goo.gl/YLSz95
  • 60. You Should Listen - [World-Shaking Crypto Power]* MarketScale Podcast featuring Luciano Pesci. Cliff Notes: Crypto took the world by storm in 2017 and early adopters (rightfully) profited from their foresight. Now a new generation of crypto tech has emerged and promises to move blockchain beyond monetary competitors. In the process it will change the nature of trust & exchange, creating a better future. 60 *World-Shaking Power of Cryptocurrency: goo.gl/YLSz95