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Counter-intuitively, making a government benefit universal can be more cost-effective than restricting it. Universal programs eliminate the significant administrative costs of means-testing—the staff and systems spent verifying income—which can outweigh the expense of providing the benefit to those who could otherwise afford it.

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The criticism that Universal Basic Income causes people to work less misses the point. This outcome should be seen as a success, demonstrating that people can find meaning outside of forced labor when given financial stability, challenging the privileged narrative that jobs are essential for purpose.

The complexity in applying for government benefits is not just poor design; it functions as an implicit policy tool. This "administrative burden" can be increased or decreased to control program access and costs without changing explicit eligibility laws, effectively making policy below the surface.

The government's standard procedure is to disburse funds and attempt to recover improper payments later—a highly inefficient process that costs hundreds of billions annually. A more effective system would require real-time prepayment verification, defaulting to "no pay" if eligibility cannot be confirmed, preventing fraud before it occurs.

Government-administered aid programs are often highly inefficient, with significant overhead costs meaning only "cents on the dollar" reach the intended recipients. A more effective solution is to provide direct cash transfers or vouchers, empowering individuals to spend the money within the existing private market.

Small-scale UBI trials are inherently flawed because participants know the income is temporary. Retirement, however, is a massive, long-running natural experiment in UBI for those over 65. Its immense popularity proves that a guaranteed, permanent income is a viable and desirable social policy.

The immense regulatory complexity in U.S. healthcare creates an estimated $500 billion "tax" of administrative bloat. The non-obvious opportunity is that by using AI to eliminate this waste, the savings could be redirected to fund expanded patient care, rather than just being captured as profit.

Rather than UBI, Vinod Khosla suggests governments should use AI to offer essential services like healthcare and education for free. This drastically reduces living costs and improves quality of life, offering an alternative path to social equity.

Applying financial concepts to philanthropy reveals that public acceptance hinges on framing. For example, 'Universal Basic Income' is often rejected as a handout, but functionally similar policies framed as 'Earned Income Tax Credits' or 'Child Tax Credits' garner broad support by appealing to different values.

Raising the minimum wage often benefits individuals in higher-income households (e.g., teens with summer jobs) rather than the poorest families. The most vulnerable are often not in work. A more generous welfare state that directly provides money to poor households is a more targeted and effective way to reduce poverty and inequality.

The intricate rules for verifying eligibility for government aid ("means-testing") have spawned an entire industry of vendors who profit from building these complex systems. This creates a perverse incentive where contractors benefit from the very administrative friction that harms beneficiaries and taxpayers.

Universal Benefits Can Be Cheaper by Eliminating Costly Eligibility Bureaucracy | RiffOn