Ben Reinhardt challenges the modern obsession with speed and efficiency, arguing that our relentless drive to kill ideas quickly is systematically starving the very innovations that change the world. While most think tanks and venture capital firms celebrate a high "kill rate" as a sign of rigor, Reinhardt posits that this strategy creates a blind spot for the most transformative discoveries. This is not just a critique of business strategy; it is a warning that our current metrics for success are actively preventing the next generation of general-purpose technologies from ever being born.
The Efficiency Trap
Reinhardt introduces a framework that divides potential projects into two categories: "lean" ideas, which are cheap and fast to assess, and "fat" ideas, which require years of expensive, uncertain exploration. He argues that the current institutional bias toward lean ideas is mathematically seductive but strategically disastrous. "If you want to maximize efficiency — returns per dollar in either financial terms or 'impact' — there is a clear strategy: quickly kill ideas and bias towards a thousand false negatives over one expensive false positive," he writes. This logic suggests that it is always better to discard a potential breakthrough early rather than risk wasting resources on it.
The author illustrates this with the example of reusable rockets, a "lean" idea because the path to success, while difficult, was clear. In contrast, he points to the discovery of CRISPR or GLP-1 inhibitors as "fat" ideas that emerged from years of "piddling around" with no clear commercial application in sight. The core of his argument is that by optimizing for the speed of assessment, we are implicitly filtering out the most complex, high-value problems. Reinhardt notes, "The dichotomy between lean and fat ideas warps which ideas get support, which ones get killed too early, and which ideas people choose to pursue in the first place." This reframing is powerful because it shifts the blame from bad luck to a structural flaw in how we allocate capital and talent.
"Many incredible discoveries and inventions have been sacrificed on the altar of efficiency."
Critics might argue that in a resource-constrained world, prioritizing efficiency is simply a matter of survival, and that there is no room for the luxury of "fat" exploration. However, Reinhardt counters that this assumption holds true only if the outputs of lean and fat ideas are interchangeable. He suggests they are not. Lean ideas tend to produce incremental improvements or software tweaks, while fat ideas often generate entirely new systems or general-purpose technologies. By ignoring the latter, we risk stagnation in the very domains that matter most.
The Myth of Interchangeable Value
The piece takes a sharper turn when it examines the assumption that all innovation can be measured on a single scale of value. Reinhardt writes, "Collapsing value into a single number assumes that the outputs of pursuing different ideas are the same in kind." This is where the argument hits its hardest note. When institutions—whether corporate, philanthropic, or governmental—demand a clear return on investment, they inevitably favor projects with predictable, short-term outcomes. "Prioritizing efficiency is not inherently bad, but it is creating bad outcomes when it is killing fat ideas at a societal level," he asserts.
He observes that even philanthropic organizations, which should theoretically be free from the pressure of shareholder returns, have adopted this lean mindset. Questions like "What is the most impactful way to use this dollar?" and "How do we minimize risk of failure?" dominate funding decisions. Reinhardt finds this "disappointing," noting that these questions force a narrow definition of success that excludes the messy, long-term work of basic science. The author suggests that the "low hanging fruit" of easy-to-evaluate ideas is already gone, and institutions are now forced to choose between a depleted pipeline of lean ideas or the uncertain, expensive path of fat ones.
"Prioritizing something besides efficiency is a heretical notion in the current zeitgeist."
This observation is particularly striking given the current economic climate. While the lean strategy makes perfect sense for a public company needing to report quarterly earnings, it is a poor fit for solving existential challenges like climate change or curing complex diseases. Reinhardt's hunch is that "fat ideas generate lean ideas and vice versa," implying that by starving the fat ideas, we are also drying up the source of future lean opportunities. The systemic bias is not just a loss of potential; it is a self-reinforcing cycle that narrows the horizon of human progress.
Bottom Line
Reinhardt's most compelling contribution is the identification of efficiency as a hidden barrier to breakthrough innovation, exposing how our metrics for success are actively filtering out the future. The argument's greatest vulnerability lies in its reliance on the assumption that fat and lean ideas are fundamentally different in kind, a claim that is difficult to prove with historical data but is strongly supported by the pattern of recent stagnation. For leaders in government, philanthropy, and research, the takeaway is clear: if we want to avoid a future of incremental tweaks, we must have the courage to fund the expensive, uncertain, and seemingly inefficient work that has always driven the greatest leaps forward.