The Monopoly Report: Episode 44

Guest: Justin Evans
Host: Alan Chapell
Date: August 27, 2025
Theme: “Justin Evans and the Optimist’s View of Data”

Episode Overview

In this episode, Alan Chapell reconnects with Justin Evans, a veteran of the data and technology industry, to explore the evolving role of data in business, society, and advertising. Evans, known for his optimism about data and its ethical use, shares his perspective on making data accessible, empowering non-experts, and using data for societal good. The conversation weaves personal anecdotes, industry war stories, and regulatory insights into a compelling case for optimism and cautious pragmatism in today’s data-driven world.

Key Discussion Points & Insights

1. Justin Evans' Background and Motivation for Writing

• Evans is a 20-year data and technology industry veteran, with innovations at Samsung, Comcast, Nielsen, and multiple startups.
• He’s also an author, including business and fiction works.
• His recent book aims to demystify and humanize data for non-experts in business.

“There were a lot of people I knew who were fantastic at what they do... but when they had kind of decided that they didn't need to understand data, they severely limited their career path.”
— Justin Evans (04:20)

Main Takeaways:

• Data literacy is now mandatory for career advancement in many fields.
• Evans seeks to make data approachable, storytelling being his method for engagement.

2. Staying Curious and Facing New Technology

• Evans reflects on how continual curiosity—especially into domains outside your core comfort zone—creates opportunity even for industry veterans.
• Both Evans and Chapell note the generational cycle of obsolescence and the importance of refusing to stagnate.

“The key to long-term success in your career and probably also life happiness is stay curious.”
— Alan Chapell (10:59)

How Evans Approached AI:

• He immersed himself in foundational literature (Melanie Mitchell’s book and original large language model papers) to stay abreast.

3. Blending Creativity and Data

• Evans intertwines creativity with data work, drawing inspiration from historical figures like John Graunt (the first “data scientist”).
• His approach is to look for ways creative thinking can enhance data use and make it more tangible for a wider audience.

“The combination of data and a creative mindset, I think, is very powerful.”
— Justin Evans (12:48)

Personal Anecdote from Nielsen:

• Evans describes a pivotal moment realizing the potential in linking offline and online data, becoming an early innovator in the space.
  (14:00–15:00)

4. The Data Bully and Demystifying Complexity

• Chapell introduces the idea of the “data bully”—those who wield complexity to intimidate rather than enlighten.
• Evans tells a tale from Nielsen where methodical questioning by outsiders exposed and clarified opaque processes.

“If they will do that with you, then you know you've got a collaborator. If they won’t, then you've learned something else.”
— Justin Evans (17:50)

• Evans and Chapell agree that simple, jargon-free explanations build trust and foster collaboration in both business and legal interactions.

5. Optimism About Data's Societal Value

• Evans offers case studies from his book:
  • Adam Green: Used AI and data to combat loneliness in senior citizens—demonstrating a measurable improvement in well-being.
    (22:00–24:00)
  • Sharon K. Green (NYC Bureau of Communicable Diseases): Leveraged data to rapidly identify and respond to COVID-19 hotspots, arguably saving hundreds of thousands of lives.
    (24:50–27:50)

“Now we see that when you take these databases…away, there are thousands of scientists starved for data to do proper research to try and save the planet.”
— Justin Evans (28:02)

Evans’ Core Argument:

• Data in the right (often unsung) hands enables massive good. Curtailing access can have profound negative consequences.

6. Data, Antitrust, and Market Opacity

• Chapell underscores that the problem is not “big data” itself, but its concentration among a few large companies—framing this as both a privacy and competition issue.

“You can’t have a discussion about privacy without talking about competition and antitrust.”
— Alan Chapell (29:56)

• Evans advocates for “democratizing data”—enabling smaller entities (museums, nonprofits, community organizations) to use data to further their missions.
  (31:10–32:45)

7. The 'Dark Room Problem'

• Evans coins the “dark room problem”: When markets lack transparency, participants refrain from action for fear of the unknown (like “entering a dark room”).
• Illustration: At Samsung, by sharing aggregate streaming data during the COVID outbreak, they empowered advertisers who were previously uncertain how to invest.
  (33:54–36:33)

8. Regulation & Clean Room Technology

• Chapell and Evans discuss the tension between privacy law (which complicates data de-identification and sharing) and innovation.
• Evans expresses optimism about “clean room” technology, which allows for aggregate data analysis while protecting privacy.
  (42:37–43:20)

“I feel like there's a lot of opportunity for collaboration between multiple entities.”
— Justin Evans (43:13)

9. War Stories: Wild West Data Practices

• Evans recounts meeting a startup that claimed to have 250M Facebook profiles—an early precursor to the Cambridge Analytica scandal.
• The “data Wild West” era is noted for its risk and opportunity—innovative uses sometimes arise from ethically gray data acquisition.
• Chapell shares similar MySpace scraping stories, highlighting the dualities of risk and creativity.
  (37:51–41:47)

“The net net of the Cambridge Analytica scandal was a limitation on the amount of data. But there’s a downside to that for anybody interested in using the data.”
— Alan Chapell (41:52)

Notable Quotes & Memorable Moments

• “If I can understand 40%, 60%—80% is better than zero.”
  — Justin Evans on reading foundational AI research (06:48)
• “Being simple is very hard work.”
  — Justin Evans (18:52)
• “Data and AI are servants to your business goal.”
  — Justin Evans (18:52)
• “There’s a sort of a special set of opaqueness in the ad space…companies…tend to use that to their advantage.”
  — Alan Chapell (18:15)
• “Without communication and trust, there’s just almost no point.”
  — Alan Chapell (21:20)
• “Data’s not the problem. The problem is that data is in too few hands.”
  — Alan Chapell (29:42)

Timestamps for Key Segments

• [03:41] — Why Justin Evans wrote a business book after a fiction career
• [06:48] — How Evans tackled learning AI as a non-engineer
• [12:40] — Approaching storytelling in business and data
• [15:36] — The data bully & lessons from challenging colleagues
• [21:44] — Examples of data’s societal benefits outside adtech
• [28:02] — Consequences of restricting public data access
• [33:54] — The dark room problem explained
• [37:51] — Facebook data/early Cambridge Analytica story
• [42:37] — Clean room technology as a way forward for privacy-compliant collaboration

Conclusion & Recommendations

Alan closes the episode by reiterating the importance of transparency, humility, and creativity in the use of data, warning against both the “data bully” and the “dark room” of market opacity. He strongly recommends Justin Evans’ “Little Book of Data” for anyone seeking engaging, practical insights on how to responsibly and innovatively use data to power business and societal outcomes.

Further Reading & Listening:

• Monopoly Report Podcast / Archive
• Justin Evans’ “The Little Book of Data”
• Discussion of AI foundations: Melanie Mitchell’s “Artificial Intelligence: A Guide for Thinking Humans”