Prediction Markets, Forums, and Platforms Presenter: Anne T. - - PowerPoint PPT Presentation

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Prediction Markets, Forums, and Platforms Presenter: Anne T. - - PowerPoint PPT Presentation

Prediction Markets, Forums, and Platforms Presenter: Anne T. Griffin June 19, 2019 Anne T Griffin Product Manager & Product Coach Product Manager at Priceline Chief Product Coach at Griffin Product Coaching Formerly Lead Product Manager


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Prediction Markets, Forums, and Platforms

Presenter: Anne T. Griffin June 19, 2019
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Anne T Griffin

Product Manager & Product Coach

Product Manager at Priceline Chief Product Coach at Griffin Product Coaching Formerly Lead Product Manager at OpenLaw

atgrif@gmail.com @annetgriffin annetgriffin.com

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If you had a crystal ball that could show you anything about the future of your career or company, what would you ask?

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What would you do with that information?

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Predicting the future has long been important to Politicians, Economists, and Scientists

Lucrative to those who wager on the outcome of those predictions

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One of the earliest records of a prediction market:

Betting on the next Pope in 1503

This is around the time of powerful merchant families such as the Medicis, whose power and fortune relied greatly on who the next Pope would be.

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What is a Prediction Market? And how is that different from a Prediction Forum or Prediction Platform?

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Wikipedia Definition of Prediction Markets:

Prediction Markets are exchange-traded markets created for the purpose of trading the outcome of

  • events. The market prices can indicate what the crowd

thinks the probability of the event is.

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Prediction Forums

Prediction forums are a place where people can discuss their predictions about the future.

  • Think about the difference between a sports
betting site vs a site designed to discuss who will win the Super Bowl in 2020
  • No financial incentive for correct predictions
  • Any data here is qualitative, not focused on
quantitative
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Prediction Platforms

Prediction platforms are very quantitive in how they have people submit predictions, and how the platform aggregates and measures those predictions.

  • Prediction platforms are more quantitative in
nature than a forum, but don’t don’t use financial incentives for correct predictions
  • Can include features that allow for users to submit
qualitative data
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SLIDE 11 Prediction Market Prediction Forum Prediction Platform Quantitative Yes Can have quantitative aspects, but mostly no Yes Qualitative Can have qualitative aspects, but mostly no Yes Yes, but usually has a stronger focus on quantitative Financial Incentive for Correct Predictions Yes No No

Summary of Differences

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James Surowiecki’s 3 Conditions of Collective Wisdom

Diversity of information Independence of decision Decentralization of organization

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Decentralization

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Decentralizing Prediction Markets

  • Decentralize who controls the platform
  • Decentralize who profits from running the platform
  • Allowing those running a market for a prediction to profit
  • Less concern about one organization who profits from an
  • utcome to run the whole market
  • Organizations with insider information can still profit

from outcomes if they bet on an outcome

  • Decentralize who is responsible for posting the outcome
  • Those in the market can vote on one or more people

they trust to run the market

  • Can automate the market using smart contracts
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Drawbacks of Decentralized Prediction Markets

  • When no one controls the platform, people can open

markets for any outcome

  • People can wager on the outcome of deaths of

politicians and celebrities

  • Blockchain and crypto based platforms haven’t reached mass

adoption

  • Smart contracts are not yet in a place where they can quickly

process outside information, even with oracles

  • How can you countries regulate something that by nature

has no one group or person in charge?

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Why Platforms Fail

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years

average age of a platform

4.9

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Mispricing one side of the market

Platforms are often 2-sided

  • marketplaces. How do you

attract people and businesses to both sides of the market?

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Failure to develop trust

Imagine if no one trusted their Uber would show up,

  • r get to their destination

safely? How have reports of predatory drivers impact their platform?

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Underestimating or dismissing competition

Companies don’t want to spend resources fighting a non-threat, but you also don’t want to ignore potential threats until they are too big to easily address.

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Late entry

Being late to the party can mean your distribution channels are controlled by competitors, or your lack of marketshare relies on a big mistake by competitors, and fighting for trust when people already trust existing brands.

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Thank you!

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