46:54Long-form

Can prediction markets be good for society? | The Gray Area

United StatesPublished October 16, 2026

Views 59.3K  |  Likes 121  |  Comments 28
Views#12,489,333Global
Views#2,412,043United States

Channel

VoxVox
12.7M subs•2.49K videos•Mar 2014

At a glance

Views

59,313

Likes

121

Comments

28

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $42 – $119

Based on estimated $0.7–$2 CPM.

About

Subscribe to our channel! http://goo.gl/0bsAjO In today’s episode, guest host Miles Bryan speaks with professor Finn Brunton in a conversation based on his recent Harper’s article, “The Chaos Machine: Prediction Markets and the Triumph of Crypto-Anarchy.” The two explore alternative visions for prediction markets: as …

Published
October 16, 2026
Made for kids
No

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How Can prediction markets be good for society? | The Gray Area is doing

It has 59.3K views in total. It ranks #12,489,333 among tracked YouTube videos by views.

Key facts about Can prediction markets be good for society? | The Gray Area

Total views
59.3K
Total likes
121
Total comments
28
Published
October 16, 2026
Global rank by views
#12,489,333

Frequently asked questions

How many views does Can prediction markets be good for society? | The Gray Area have?

Can prediction markets be good for society? | The Gray Area has 59,313 views, 121 likes and 28 comments, ranking #12,489,333 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

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