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11 min 23 sec
Available in:English

Optimal Illusions: The False Promise of Optimization

Shows why systems tuned for the best result, from delivery apps to farms and financial models, can still fail people, and how to measure progress by community, planet and personal fulfillment as well as efficiency.

Table of Content

If your days are tuned for efficiency and still feel strained, Coco Krumme offers a diagnosis. In Optimal Illusions, the applied mathematician argues that optimization, the hunt for the best answer inside set limits, gave us same-day deliveries and a sevenfold jump in farming productivity since 1950, yet may also be adding to anxiety, disconnection and environmental harm. The reason is simple: a system can be perfect by its own measure and still miss what matters, because it only sees what it was told to count.

Krumme’s case is that the fix lies neither in throwing optimization away nor in trusting it more, but in changing what we ask it to serve. Her evidence runs from a desert lot full of parked jets to a farmer pushed into planting GMO seeds and a railroad builder who refused the shortcuts his rivals took. What you gain is a habit of questioning any system that promises the best, including the ones you run yourself.

A child’s lemonade stand and a global delivery network turn out to be solving the same kind of problem. Seeing that link changes how you read every recommendation a screen hands you.

A wide-bodied airliner carries centuries of thinking in its design. Krumme reads in it the pattern behind modern progress, and that same pattern is probably running in your own office right now.

A celebrated tidying method and a global financial crash seem to have nothing in common. Krumme finds the same flaw at the heart of both, and it hides in tools many of us trust every day.

American farms became staggeringly productive in a few decades. One farmer’s reluctant decision shows what that success asked of him, and the same bargain is now playing out on your phone.

In an age of land grabs and reckless expansion, one rail magnate chose to buy, build carefully and invest in the towns along his lines. His choices hold a test any modern leader can use.

Krumme leaves you with a healthy suspicion of the word best. Every optimized system, from a lemonade recipe to a worldwide delivery network, is excellent inside the limits someone drew around it. Trouble begins when we forget those limits exist: when a jet built for one era meets another, when a financial model ignores human nerves, or when a farmer like Bob loses the freedom to plant what he believes in.

Her answer is a change of stance. She calls the old choice between opting in and opting out outdated, and asks instead for a balance between individual drive and shared responsibility, and between central efficiency and local strength.

That can start small. When a tool or a plan promises the optimal result, find out what it was told to count and what it left off. Put one measure for people or place beside the targets you set. And look for Hill’s kind of progress, the kind that leaves the ground along the route richer than before.

Optimization is a superb servant. It simply needs better instructions.

About this book

What is this book about?

Optimization runs much of modern life. Algorithms choose our routes, our search results, our shopping and our films, and mathematical models drive factories, farms and global supply chains. The gains are real. Yet there is growing concern that this fixation could be costing us in anxiety, a deep sense of disconnection, and unintended harm to the environment. Coco Krumme, an applied mathematician, traces the modern drive to optimize back to three habits of thought, which she calls atomization, abstraction and automation, and to an individualist belief that people should build a better world. She then shows where that drive goes wrong: idle jets in a desert, a tidying method that flattens emotional attachments, financial models that missed what caused the 2008 crisis, a farmer pushed into GMO seeds and tech platforms that widen inequality. Her answer is neither to reject optimization nor to trust it blindly. Through the railroad builder James Jerome Hill, she argues for pairing central efficiency with local resilience and for judging success by community well-being, planetary health and personal fulfillment alongside profit and GDP. Readers get a sharper question to put to any system that promises the best.

Book Information

Rating:

Genre:

Technology & the Future

Topics:

Data & Analytics, Risk Management

Publisher:

Penguin Random House

Language:

English

Narrator:

Walter

First published:

September 12, 2023

Pages:

256

Length:

11 min 23 sec

Get the book:

Amazon

Who it's for

  • Leaders doubting their dashboards

    Managers and founders who run on metrics and suspect their dashboards miss something.

  • Weary knowledge workers

    Knowledge workers worn down by efficiency apps and always-on self-optimization.

  • Curious about inequality's causes

    Readers curious about how algorithms, industrial farming and finance models shape inequality and the environment.

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About the Author

Coco Krumme

Coco Krumme is an applied mathematician, writer and consultant, and a graduate of MIT. She founded Leeward Co., a consultancy that helps organizations apply data and analytics to difficult problems with responsibility in mind, which gives her a working view of both the strength and the limits of optimization. Her books include Data-Driven Storytelling and Optimal Illusions.

Ratings & Reviews

Ratings at a glance

3.1

Overall score based on 67 ratings.

What people think

Listeners find the book thought-provoking, specifically valuing its blend of research and philosophy. Additionally, the narrative style is praised for its exquisitely developed case studies, leading listeners to characterize it as a fantastic selection.

Top reviews

Darawan

Ever wonder why our pursuit of the 'best' often leaves us feeling so empty? Krumme’s exploration of the 'optimal' mindset is one of the most thought-provoking things I’ve read this year. Her background as a mathematician gives her a unique vantage point to deconstruct how we’ve let efficiency metrics colonize our private lives. I found the case studies—from GMO foods to the vast landscapes of the West—to be beautifully crafted and deeply evocative. Some might find the personal anecdotes distracting, but I felt they grounded the abstract concepts in a necessary human reality. This isn't just a math book; it's a lyrical meditation on the cost of progress and the beauty of things that are simply 'good enough.' Highly recommended.

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Katya

Wow. This book is a hauntingly beautiful dive into the systems that govern our lives. Krumme manages to blend rigorous research with a deeply philosophical outlook that stayed with me long after I finished. I loved the way she connected the history of the American bison to our current obsession with GMOs and supply chain efficiency. She captures that specific modern malaise of wanting to 'escape' the system, only to realize that even our escapes are often just another form of optimization. In my experience, it's rare to find a book that challenges your brain while also touching your soul. If you’re tired of the 'hustle culture' and 'peak performance' manuals, this is the perfect antidote. It’s insightful, beautifully written, and absolutely essential for understanding our current world.

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Satit

After hearing so much about the pitfalls of Big Data, I found this to be a refreshing take from an insider. Krumme’s transition from a high-stakes consultant to a homesteading writer provides a poignant backdrop for her critique of the 'optimization' trap. Look, she isn't trying to write a textbook. Instead, she offers a series of case studies that challenge us to look at the 'junkyards' of our modern world with new eyes. Her writing style is elegant, almost poetic at times, which is rare for someone with a scientific background. While some of the transitions between topics like the Green Revolution and her own life are a bit jarring, the core message about the dangers of over-simplifying complex systems is vital for our current era.

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Talia

Finally got around to reading this, and I’m glad I did. I’ve always been interested in how mathematical models fail to capture the nuances of real life, and Krumme hits on some excellent points here. I particularly enjoyed her take on 'satisficing' and the idea that natural selection doesn't optimize for perfection, but merely for survival. The prose is much better than your average non-fiction book; there’s a real sense of place in her descriptions of the landscape. My only gripe is that it feels a bit scatterbrained at times, jumping between historical railroads and modern tech startups without enough connective tissue. Still, it’s a careful and necessary consideration of the 'optimal everything' world we’re building. A solid four-star read for any tech-fatigued professional.

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Ooi

Picked this up because I’ve been feeling the burnout of trying to 'optimize' every second of my existence. There are some truly insightful nuggets here, particularly when Krumme discusses the American West and our cultural obsession with efficiency. However, the narrative whiplash is real. One minute you're reading about the bison, and the next you're on a car ferry to the San Juan Islands or hearing about her disdain for cruise ships. I appreciated the philosophical reflections on 'satisficing' versus maximizing, but the book lacked a strong editorial hand to tie these disparate threads together. It's a quick read that scratches a curious itch, but don't expect it to change your worldview entirely. Decent for a library checkout.

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Diego

Wait for the paperback or check it out from the library. There are some genuinely brilliant ideas buried in here, but the book struggles with cohesion. One chapter you’re learning about the intricacies of fuel optimization in maritime vessels, and the next you’re being led through a critique of Marie Kondō’s decluttering methods. It feels like a collection of essays that were jumbled together without a clear roadmap. To be fair, Krumme is a gifted writer and her personal stories from the tech world are engaging, but I left wishing for a more structured argument. It’s a 2023 release that sometimes feels like a time capsule, missing some of the more current shifts in the discourse around AI. It’s insightful, but definitely 'muddled' as some critics have noted.

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Narong

As someone who works with data, I found the premise of this book fascinating, but the execution left me frustrated. Krumme makes the classic mistake of treating optimization as an ideology rather than a mathematical methodology. She blames the tool for the human errors of those wielding it. For instance, her discussion of supply chain issues misses the mark by suggesting optimization itself failed, rather than the practitioners failing to account for resiliency as a variable. To be fair, her writing is quite flowery and descriptive, but the logic often falls apart under scrutiny. It's less a scientific exploration and more a retreat into 'retrospective Rousseauistic utopianism' from her homestead. It feels like a missed opportunity to truly critique how we use algorithms today.

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Oksana

The truth is, this book feels incredibly time-bound and geographically narrow. For a work that claims to address a global phenomenon of optimization, it is almost obsessively focused on the American West. Krumme seems to ignore the fact that much of what she critiques was formed by specific federal interventions rather than some universal drive for efficiency. Furthermore, her take on the Green Revolution is a bit shortsighted, failing to acknowledge how many lives were saved by the very processes she decries. It’s a very 'great-great-great-grandchild of the Enlightenment' perspective—bemoaning the ease of modern life while standing on top of the progress built by those who came before. It felt more like an emotional venting session than a rigorous analysis. Not worth the hype.

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Jack

This book perfectly demonstrates that you shouldn't judge a book by its cover. I went in expecting a rigorous look at how optimization fails in manufacturing or tech, perhaps touching on Six Sigma or Agile. Instead, Krumme delivers a rambling polemic that jumps from the history of the northern railroad to a strange, misplaced critique of Marie Kondō. The connection between Universal Basic Income and mathematical optima felt incredibly thin. Frankly, it reads like a collection of leftover essays from a failed film project rather than a cohesive argument. If you want to understand the math of efficiency, look elsewhere. Spending time reading the ingredients on your cereal box might actually be more informative for your daily life. It's a shame given the author's background.

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Sven

Not what I expected at all. The first chapter showed promise, but the rest of the book felt like it was treading water with unoriginal observations. It honestly could have been condensed into a long-form magazine article for the New Yorker without losing any of its substance. The author spends way too much time on her personal grievances—like the speed of maritime vessels or her dislike of Amazon hubs—without linking them back to a central thesis in a meaningful way. It felt muddled and disjointed, as if several different books were fighting for space in one volume. I really wanted to like this, especially given the author’s credentials, but I walked away feeling like I’d just read a collection of disjointed blog posts. Total disappointment.

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Questions about this book

Krumme argues that optimization, finding the best answer within chosen limits, powers modern life from delivery apps to farming, but also oversimplifies values and deepens social gaps. A system can be perfect by its own measure and still fail people because it ignores what it was never told to count. Her solution is to redefine optimization, not reject it, by balancing efficiency with community, environmental and personal well-being.

They are the three moves Krumme sees behind the modern drive to optimize. Atomization breaks the world into small, understandable parts. Abstraction replaces physical trial with models and simulations, as when computers predicted the 777’s aerodynamics before it flew. Automation hands production to machines and software, which on the 777 assembly line placed thousands of parts precisely and cut human error.

Krumme uses Marie Kondo as an example of over-optimization. On her Netflix show, Kondo turns cluttered homes into orderly ones in minutes, and her KonMari method hints at something almost spiritual. Krumme sees it as an engineering mindset paired with romantic promises, one that risks oversimplifying life and hiding the emotional attachments people have to the things they own.

She points to railroad magnate James Jerome Hill, who bought land instead of grabbing grants, taught settlers efficient farming and built high-quality track that improved worker safety. From his example, she argues for combining central efficiency with local resilience and for judging success by community well-being, planetary health and personal fulfillment, alongside GDP growth and profit.

Treat every best option as best only within its limits. Before trusting a forecast, plan or algorithm, list what it leaves out, as the 2008 financial models left out human psychology and regulation. When you set targets, add at least one measure for the people and places your work affects, and check whether your plan still looks best with it included.

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Optimal Illusions

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