804.424.1933 brad@bbbox.io

1 – Two Prediction Markets

I: OnlineGambling.com

OnlineGambling.comsports betting and casino gambling. Our knowledgeable team provides up-to-date news and sports betting coverage for major events, and expert recommendations on trusted betting sites in the USA with our sportsbook reviews.” The site aggregates, ranks, and provides information about a variety of websites that allow individuals to buy and sell bets based on future outcomes. The site states that its mission is: “To be the world’s most empowering gaming and betting site. We give gamblers the edge by providing the best and most trusted experience online all day, every day.” As it is likely a conduit for how a variety of risk-taking folks spend their money with a hope for financial gain, they strive to build trust among its users.

II: Pinnacle

Pinnacle faciliates sports betting, casino betting, and esports betting. Pinnacle describes itself as offering the “best value odds,” “highest limits,” and a place where “winners are welcome.” It sets its unique value proposition as a prediction market based on limitless potential, opportunity, and non-rigged systems. The company also claims to have a 20-year history, research for informed decision-making, and breadth of betting options. Its “unique value proposition” is that it offers arbitage betting, which it describes: “Arbitrage betting promises risk free returns – the Holy Grail of gambling – so is naturally a very popular topic within the betting community, but how does arbitrage betting work? We have laid out everything you need to know.”

2 – Critiques of Prediction Markets

Prediction markets are neither good or bad. I wouldn’t say they’re a particularly good idea — under free market and even more regulated capitalism, there’s certainly space for prediction markets. Personally, I don’t find them particularly appealing, and I believe they’re a bad idea. In my mind, what differentiates “prediction markets” from “share purchasing” is a bit philosophical, but it’s the concept of investing with principle and intent. While bot prediction markets and traditional investing (or stock purchasing) both involve buying and selling likelihoods of events, intent that an idea succeeds is a differentiator. If I were to drop money in a slot machine or bet on who the next pope will be, I’m not directing my financial resources to increase opportunity or the value of an outcome. However, if I were to buy stock in, say, Netflix, I am, in a way, saying that I believe the future value of an idea will increase over time because of my belief in the idea, the people behind it, and related technology. 

3 – The Pausch Approach?

Mindset and approach are key. If we expect good things to happen to us, and we take a positive approach focused on doing the most good, our experiences will be positive. However, if we expect to suffer, well, we’ll suffer. For example, let’s say I had terminal cancer. I could choose to either take the most of the time I have left and expect to do the most good that I can before the end, I’ll have a very positive experience. And, regarding the Pausch example . . . who’s to say death is all that bad to begin with, especially if you’ve lived a fairly incredible life? On the other hand, I were to focus on all the suffering I’ve experienced — especially since suffering is simply one facet of life — I’m bound to suffer more and, I will likely fear death as I perceive its inevitability as just the ellipsis to never-ending suffering. I do also want to mention Voltaire’s character Prof. Pangloss from Candide. The idea here is that complete separation from reality, insisting that this is “the best of all possible worlds” is dangerous as well. Such an approach is disconnected from reality and, may in deeper ways, cause greater interal suffering that goes unexpressed and simply isn’t healthy. 

4 – My Personal Future

I will be able to use this podcast to help me transition the brand of my business from focusing on traditional and digital marketing and communication. Over the past three years of running Big Big Box, I’ve taken different approaches toward essentially describing the same thing: Helping people more effectively and consistently describe how they are changing the world, The whole reason I’m earning a Master’s in information science is to shift from helping folks tell their stories to help them more effective at what they do. Ne and emerging technologies can be used as tools for increasing economic opportunity, educational attainment, and community services and resources. This podcast will be a great opportunity to — in addition to what I’m learning in my coursework — to explore relevant topics and tools for achieving the goals I’ve directed my energy (and earned an income doing) over the past decade.  I’m especially excited about a two-part (at least) series I plan to do related to the history of the Bloomberg Philanthropies Mayors Challenge and Code For America initiatives. After countless investment of funding and time, what have we achieved? What direction is “civic hacking” going? How can we use social media and new online networking tools to nudge behavior at the systemic to individual levels to change how lives are lived, how life is experienced?


5 – Relevant Resources

Code For America describes itself as “a network of people making government work for the people, by the people, in the digital age. How do we get there? With government services that are simple, effective, and easy to use, working at scale to help all Americans, starting with the people who need them most.” I am a member of the Little Rock “brigade,” which is led by City of Little Rock Performance & Innovation Coordinator Melissa Bridges.


Bloomberg Philanthropies Mayors Challenge this is a unique funding and collaboration opportunity cities can leverage to kickstart transformative, unique ideas. I am helping Little Rock submit its second application to realize its vision of holistic, wrap-around, data-driven support for local entrepreneurs of color and woman business owners.


Rayid Ghani’s website after leveraging emerging data science practices related to social media to support Obama’s presidential win in 2008 and again in 2012, Ghani has spent the past nine years creating learning laboratories for building smarter cities. After launching his research initiative in Chicago, he has recently relocated his research intiative to Carnegie Mellon university. Side note: I had the opportunity to introduce him as a Clinton School Public Speaker and had a delightful and informative dinner with him afterward.


Equitable Evaluation Initiative my colleague Jara Dean-Coffey launched the Equitable Evaluation initiative to challenge funders to re-think evaluation. Throughout philanthropy’s history, funders have bolstered systemic oppression and marginalization through institutional learning. Dean-Coffey provides support on transforming the process of learning to place the people whose lives are “being improved” at the center of systems of inquiry and learning for continuous improvement.


Good.is for a number of years, I’ve followed Good.is to explore the latest ideas for city planning and systems planning to benefit more people. This online magazine provides a variety of great topics to “go deeper” with to explore from a data science and technology perspective.


Stanford Social Innovation Review this publication has been a great source for community-changing ideas. I will specifically explore the latest trends in community change using cutting-edge technology to “mine” topics and directions for episodes.


IDEO.org as a user of user-centered-design, I intend to frame approaches toward deriving solutions based on the recommendations shared on IDEO.org. Additionally, this site provides great case studies about how intentional design, technology, and human-centered planning can be combined to drive change


Smart Cities Worldwide at the confluence of urban planning and futurism is the smart cities initiative. According to their site, “SmartCitiesWorld’s mission is to be the world-leading platform for sharing ideas to solve urban challenges that enable us to live in more resilient, sustainable, safe, and prosperous environments.”


6 – DO




Got it!


8 – DO

Everything is going as planned./p>


9 – More about the Book

In this section, O’Neill describes personal experiences with The Great Recession in 2008. In short, it hit her hard that for investors, the “pain” was minimal, while for the Average Joe, it was the evaporation of retirement accounts, unemployment, and loss of home in addition to security. These effects were disproportionately felt by historically marginalized individuals. For the author, this experience planted the seed of disillusionment, the realization that the math, science, and systems she took as gospel were actually fashioned to maintain and intensify systems of power and wealth for a small group of individuals. And so she sought change. The result:

I wondered what the analogue to the credit crisis might be in Big Data. Instead of a bust, I saw a growing dystopia, with inequality rising. The algorithms would make sure that those deemed losers would remain that way. A lucky minority would gain ever more control over the data economy, raking in outrageous fortunes and convincing themselves all the while that they deserved it. (p. 48)

In the second half of this section, O’Neill connects rising obesitty rates to subsidized agriculture and the ballooning costs of college combined with the shift toward an undergraduate degree to secure even low-wage work.

In these two sections, I can definitely track O’Neill’s arguments along with her greata notes. However, I struggle with the fact she doesn’t quite offer solutions. It’s easy to make an argument and for the dire state of things, but I don’t think she has been successful thus far in offering solutions. It’s too early to say whether she’s being a responsible author yet or not. The jury is still out on whether she’ll transition from “this, this, this, and this are wrong . . . we should really do something about it,” to providing clear, concrete solutions to all of these infuriating issues.