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In this episode of the OoruLabs podcast, Sathya Sankaran explores the reasons behind urban transport choices in India, the role of government in urban planning, and the implications of public choice theory. He discusses the rational ignorance of voters, the incentives that drive politicians, and the challenges of collective decision-making. The conversation emphasizes the importance of bridging information asymmetry to align individual and collective interests, ultimately advocating for a political agenda that prioritizes long-term collective outcomes.

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Keywords

urban transport, public choice theory, government failure, voter ignorance, collective action, information asymmetry, political choices, urban planning, cycling, public interest

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Takeaways

Public transport is underutilized in India compared to other countries.

Government failure can hinder effective urban planning.

Public choice theory applies market principles to political decision-making.

Voter ignorance is rational due to the low impact of individual votes.

Politicians often prioritize self-interest over public good.

The impossibility theorem suggests collective rationality is unattainable.

Individual choices can conflict with collective interests.

Information asymmetry can be bridged through community tools.

Collective action requires deliberate effort and awareness.

Creating a political agenda is essential for long-term outcomes.

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Sound Bites

"Why do we put up with dirty cities?"

"Tools can help bridge information gaps."

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Chapters

00:00 Understanding Urban Transport Choices

01:01 The Role of Government in Urban Planning

02:12 Public Choice Theory Explained

03:39 Voter Ignorance and Political Choices

06:01 Incentives and Government Spending

08:23 The Impossibility Theorem in Collective Decision Making

09:48 Bridging Information Asymmetry for Collective Good

12:13 Creating a Political Agenda for Collective Outcomes

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Stock video and picture credits to various contributors. All rights belong to respective owners. Show notes generated by Riverside AI.

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