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I just finished listening to Lenny’s conversation with Nan Yu, Head of Product at Linear, about what it takes to build a great SaaS product. Like many SaaS apps, the Kibu team and I have taken inspiration from Linear. But as we plan our roadmap and implement new solutions, I ask myself: What’s preventing us from building a product as beautiful as Linear, Slack, or Figma? Sure, time and resources matter, but I sense deeper things at play. Lenny and Nan’s conversation shed light on Linear’s approach and helped me articulate some thoughts: No Dogfooding Nan said that ideas for SaaS apps often start as useful products inside of larger companies. A typical story: a developer solves a personal problem, shares it with her coworkers, gets tons of praise, and considers if other companies have the same problem. I recall the story of Slack going a lot like this, and I suspect Linear is similar. The advantage of this approach is that the founder is customer zero. By building for yourself, user...
2 weeks ago

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More from ben-mini

Making My SQL Skills Obsolete

Quick Update: I updated my domain to ben-mini.com! All old URLs and the RSS feed under ben-mini.github.io will automatically redirect, so no changes are needed on your end. By far, the most useful LLM app I’ve made is the Kibu Schema God: I try not to make my posts too technical, but I can’t resist. I’d like to briefly explain what the Kibu Schema God is, how I set it up in a day, and how you might create something similar. What it is The Kibu Schema God (KSG) is a Custom GPT that helps me get immediate answers on my product’s data. It has full knowledge of my company’s database schema and context around it. KSG allows all Kibu employees with a basic understanding of SQL to construct queries that provide insights into our customers. Humbly put, it is an omniscient data deity that takes mortals’ plain-English requests and provides the path to the data in seconds. As a VP of Customer Success with an engineering background, I use KSG daily to gain insights into our customers’ product usage. Which organizations watched the most videos this week? How many time-tracking events occurred after 5 PM ET this month? Relative to ARR, which customers have the most alarmingly low usage? I can copy+paste these exact questions into KSG, and it will return exactly what I need. The beauty of KSG is that it’s completely disconnected from our actual database, ensuring privacy and HIPAA compliance. No customer, user, or health-related data is ever shared with Schema God or the LLM. Further, it took me just a few minutes to create, with occasional tweaking and maintaining- all without code. How it Works This morning, I wanted to know which users watched the most classes on Kibu (by the way, Kibu offers a library of 400+ videos of educational and exercise content for adults with special needs). So, I logged onto ChatGPT.com, went into my Kibu Schema God GPT, and asked the question: Instead of returning data, KSG generates a MySQL query. A query is a structured language that enables interaction with Kibu’s MySQL database. I then copy+paste that query into an SQL editor, like TablePlus, and view the results: Not only has KSG saved me hours of writing these tedious queries, but it’s also proven worthy in crafting some of the most complex, disgusting, 25+ line queries in my life. I used to think of SQL query writing as an art- now, it’s a commodity. Configuring KSG was relatively simple. When creating a Custom GPT, I provided the following instructions: You are helpful assistant for Kibu employees to better understand their customer. Kibu is a software tool that supports the IDD community. It offers a library of video classes to individuals and Disability Provider organizations, as well as an admin tool for organizations to take notes & attendance of their members (IDD individuals). Your job is to provide MySQL queries upon request given Kibu’s MySQL schema. Always use the provided Prisma schema in schema.txt when constructing a query. A schema is the structure that defines how a database is organized. It includes the tables, columns, data types, relationships, and other elements that shape how data is stored and accessed. Even a Google Sheet can have a schema. In the image below, the schema of this Google Sheet consists of a User table with five columns (ID, First Name, Last Name, Age, and State) and two other tables (Activity and Medical Info) that are likely related to the User table. Most production databases and SaaS providers maintain a document that defines your data schema. Kibu’s schema is explicitly defined with Prisma. Schemas are written in a structured way that makes them readable to computers but indecipherable to humans. This is the perfect recipe for an LLM use case. When creating KSG, I went to my dev team and requested our Prisma file. I uploaded it to the Kibu Schema God, giving it the blueprints to our database’s design. After explaining to the GPT a few nuances (what time zone our dates are in, what each “status” value means in a business context, etc.), KSG was complete. I occasionally tweak KSG’s configurations when the schema updates or more context needs added. How to Implement Your Own Schema God Schema Gods are an awesome way to unleash your data analytics potential with minimal IT overhead. Regardless of your role, you work with data, and you need to get insights from it. Here’s how you can build your own Schema God: 1. Identify your data source and find its schema For someone in Product or CS, this could be your relational database or a layer on top of it (Mixpanel, Amplitude). For a salesperson, your data is likely in a CRM. Ask the owner of this data source for the schema. Salesforce has its own schema tool that lets you view and configure all the objects in your org. 2. Insert the schema into ChatGPT. Visit ChatGPT.com (or your preferred LLM) and paste your schema into a Custom GPT configuration or start a new conversation. 3. Explain the schema to ChatGPT Think of your Schema God as a really smart data analyst intern who still needs to learn. Explain your product, its core “nouns”, and what a successful answer may look like. The more specific, the better. 4. Ask ChatGPT to return your queries in a desirable format. Every data repository has its own method of analyzing data. For a database, this will likely be query language. For SaaS apps, it might involve using an “advanced filter” language available in its reporting interface. It might be an API. Salesforce has its own query language called SOQL that runs on sites like Workbench. Find the format that gets you from copy -> paste -> data as quickly as possible. Final Thoughts In about an hour, my six years of SQL knowledge became nearly obsolete. Granted, building and tweaking the Schema God would have been much more challenging without my data fluency, and my more advanced prompts to KSG are still grounded in pseudo-SQL-speak. However, in its current state- with all the context and rules I’ve provided- I have complete confidence that it can help my non-technical colleagues with minimal mistakes. The best KSG users are those who understand the business of Kibu the most, not the codebase. Fuck man… maybe it was a good idea to get that business degree instead of computer science! This year, “talk to your data” apps have exploded in growth. But, I’m yet to find a tool as cheap, easy to use, and privacy-friendly as the Schema God. Hopefully, this can help some of you become the data-driven business visionary you never knew you could be.

2 months ago 53 votes
IMG_0416

Between 2009 and 2012, Apple iPhones and iPod Touches included a feature called “Send to YouTube” that allowed users to upload videos directly to YouTube from the Photos app. The feature worked… really well. In fact, YouTube reported a 1700% increase in total video uploads during the first half of 2009- crediting that growth to its strong integrative ties to Apple and social networks. However, this two-click upload feature was short-lived when Apple severed ties with YouTube by removing its homegrown app in 2012. While Send to YouTube can be thoroughly analyzed as a milestone on the “frenemy” timeline between Apple and Google, I want to explore a pleasant consequence of this moment. Apple uses the ‘IMG_XXXX’ naming convention for all images and videos captured on iOS devices, where XXXX is a unique sequence number¹. The first image you take is named “IMG_0001”, the second is “IMG_0002” and so on. During the Send to YouTube era of 2009 and 2012, the title of one’s YouTube video was defaulted to this naming convention. Unwitting content creators would then upload their videos on a public site with a barely-searchable name. To this day, there are millions of these videos. Try searching for “IMG_XXXX” on YouTube, replacing “XXXX” with your favorite numbers (I used my birthday, 0416). See what you get! There’s something surreal about these videos that engages you in a way you’ve never felt. None were edited, produced, or paraded for mass viewing. In fact, many were likely uploaded by accident or with a misunderstanding that complete strangers could see it. YouTube automatically removes harmful or violent content, so what remains exists in a unique, almost paradoxical state: forbidden, yet harmless. Putting all this together, searching IMG_XXXX offers the most authentic social feed ever seen on the Internet- in video, no less! While many videos are redundant snippets of a concerts, basketball games, or kids’ recitals, you also get one-of-a-kind videos that provides a glimpse into a complete stranger’s life. You’ll see a tumultuous event that made them, their partner, or their friend say, “hey, let’s record this”. I’d like to show you three of these videos that I found in my search. IMG_0416 (Mar 17, 2015) - 23 views The video shows a woman excitedly unboxing a book she received in the mail. From context clues, she seems to be a wife and mother from Memphis who’s unboxing the first published copy of her book. She thanks the friends, family, and publishers who made this happen. After a quick Google Search, I was able to find the book: A Profit / Prophet to Her Husband: Are you ready to be a wife? The book is meant “to help wives understand who they are and who they were designed to be.” It clocks in at 94 pages and has 30 ratings on Amazon! Go IMG_0416! I don’t care what you’re creating- I’m just a fan of creators. It looks like she kept at it- making a second book in 2020! IMG_0416.MOV (June 24, 2015) - 26 views The video appears to show a woman playing a matching card game that teaches you “the basics of the potash stuff” according to the cameraman. As the woman (who I assume is the cameraman’s supportive mother) flips two matching cards, she reads off the countries who produce the most potash. I honestly didn’t know anything about potash! Turns out that it is a mineral with large amount of potassium, which is helpful as a plant fertilizer. With Canada producing the largest reserves in the world, the vast majority of Canadian potash is found in Saskatchewan. I wonder if this family lives in Canada. Or, if this is just another school project of useless facts… I miss those! IMG_0416 (Feb 8, 2011) - 114 views Let’s end on a fun one. The video shows a young man snorting powdered sugar and dealing with the consequences of it. Given his BU hoodie, Dunkin’ Donuts location, and ironic depiction of drug use, I gotta say this is a VERY Boston video. What’s genuinely heartwarming is the shared laughter between the man, the camerawoman, and the motherly figure leaving Dunkin’. The camerawoman calls her “Myra”, suggesting they all know each other. We have nothing better to do, so we’re snorting powdered sugar captures an essence of suburban America that I’m sure many of us can relate to. Edit: 11/3/24 IMG_0417 (Mar 14, 2014) - 16 views I found this after posting, and it’s just too amazing to not include… a woman filming her partner as he finds out she’s pregnant. Assuming all has gone well, the child is now almost 10 years old. I wonder if the family even knows this video still exists. After posting this on Hackernews, it looks like somebody commented on the video lol. I hope the family receives a notification it and is able to share this with their kid. ¹ Edit: The IMG_XXXX sequence isn’t truly unique—after 10,000 photos, the numbering restarts at IMG_0001 (Source).

3 months ago 16 votes
The Inner Game of Tennis

I just finished reading The Inner Game of Tennis by Tim Gallwey. Originally published in 1974, the book explores how the thoughts of an athlete affect their game. It’s lauded as being at the forefront of what we now call “sports psychology”. Although my competitive sports days are over, I was still intrigued to read it in context of my current life as a startup professional, rec basketball player, and coach. Here are a few takeaways that I have from the book. To preface, Gallwey talks a lot about Self 1 and Self 2. Put simply, Self 1 is the critical, judgmental voice in your head, while Self 2 is the instinctive, natural self that performs effortlessly when trusted. The goal is to remove Self 1 as much as possible so Self 2 can perform. How to Learn “To Self 2, a picture is worth a thousand words. It learns by watching the actions of others, as well as by performing actions itself… The benefits to your game come not from analyzing the strokes of top players, but from concentrating without thinking and simply letting yourself absorb the images before you.” Gallwey argues that every human is encoded with a natural learning process. This process allows babies to walk long before their parents could explain it to them. The key activity of observing a successful outcome with your eyes, ears, and nose is more effective than any technical explanation. I remember watching countless highlights of Shane Battier and Andre Dawkins as a kid- just trying to imitate their exact basketball shots. I would go as far as to open my mouth and scrunch my eyebrows in the same position as their posters on my wall. No one had to explicitly tell me to jump with my legs, position my hands, and flick my wrist; simply observing Battier and Dawkins taught my Self 2 to do it without me realizing. Relating this to career, it’s important to observe those who you aspire to be. In addition to reading books from those at the top, there’s value in being in the room where it happens. This is one reason young professionals should consider starting at large organizations. At Google, one can see how their Senior Directors react to pain, pleasure, choices, and adversity. Talent rubs off, and proximity to leadership is a great way to become a better professional without needing to take a single note. A good coach will encourage their student to find a mentor whom they can observe. Once the observation period ends, the coach should not ask the student what they observed. That’s that trap of Self 1. Rather, the student should immedaitely act and trust that Self 2’s naturally encoded learning will lead to them success. Thinking While Performing “Before hitting the next set of balls, I asked Joan, ‘This time I want you to focus your mind on the seams of the ball. Don’t think about making contact. In fact, don’t try to hit the ball at all.” It’s happened too many times in my golf game; I’d pick up a new, exciting feeling on the driving range, codify those feelings into rules, then enact those rules on the course… only to disastrous results. Creating rigid, conscious rules is a Self 1 exercise that prevents Self 2 from effortless performance. People often misinterpret “thinking” for “performing”. Thus, if you do not think about your newest backswing, you will not do it. However, if you trust the learning process of observing, feeling, and experiencing, you will build a muscle memory that goes beyond any thought. At the beginning of every spring, I would pick up my clubs and play some golf. I always play well in my first couple rounds. And, it used to piss me off! I would think, wow, I must be really bad at practicing if rusty Ben always plays better than golf-every-day Ben. But, I now realize that “rusty” is a poor word. This version of me doesn’t overthink. It is a version that has had time to hibernate and naturally encode all my greatest golf habits (and forget the others). To keep Self 1 from creeping in, Gallwey suggests focusing on something harmless, like the seams of the ball. This keeps Self 1 occupied and lets Self 2 take control. You’re not thinking about what to do with the seams—you’re just acknowledging them. Calm your mind, trust your body. You’re more talented than you think! Competing Against Others “It is the duty of your opponent to create the greatest possible difficulties for you, just as it is yours to try to create obstacles for him. Only by doing this do you give each other the opportunity to find out to what heights each can rise… Instead of hoping your opponent is going to double-fault, you actually wish that he’ll get it in. This desire helps you achieve a better mental state of returning it.” This is a great way to reframe “challenge” as “opportunity.” Whether you’re competing against another person, the environment (a golf course, the stock market), or yourself, pressure is a privilege. If I see a great tennis player on the other side of the net, I ought to smile, as it’s an opportunity to prove to Self 1 that Self 2 is even more awesome than he thinks! I’ll admit, I’ve lost some of my competitive edge since entering the workforce. My competitors are less often other people and more often internal feelings—fear, change, complacency. But I’m starting to see that competitive joy can still be found in these areas too. When I face a difficult situation at work, it’s an opportunity to improve and sharpen my skills. Judging Yourself “Why shouldn’t a beginning player treat his backhand as a loving mother would her child? The trick is to not identify with the backhand. If you view an erratic backhand as a reflection of who you are, you will be upset. But you are not your backhand any more than a parent is his child… Remember that you are not your tennis game. You are not your body. Trust the body to learn and play, as you worst trust another person to do a job… Let the flower grow.” It’s easy to see performance as a reflection of your character or work ethic. A big part of my personality that I’m working on is how negative outcomes in one area of my life tend to impact others. I’ve heard the saying, “would you talk to a friend that way?” and how I should separate my mistakes from my self-worth as a human. This is essentially Gallwey’s advice, although I found his perspective much more optimistic and constructive. First, one must detach the activity from the human. You are not your tennis game. Once you do that, you can see your game for what it is- a living entity that’s filled with potential, secrets, and passion. Go off and explore! That said, I struggle with this idea when it comes to my career. Perhaps I’m too American, but I find it hard to say, “You are not your career,” and mean it. Since college, I’ve expected that my accomplishments, my friends, the places I’d live, and even the women I’d date would spawn from my career and the experiences within it. I think many young professionals feel the same way. This makes detaching from outcomes difficult, and it’s something I still need to think about.

4 months ago 15 votes
Buying a House

Two days ago, I decided I want to buy my first house. My goal is to purchase it before the summer of 2025. Why are you buying a house? To make money. I see this as an opportunity in a space that many friends and family consider a safe, high-return bet (if done right). When joining Kibu, I took a pay cut in exchange for higher upside, executive responsibilities, and the opportunity to work on a great mission. That said, it’s time to use the money I’ve saved to explore additional revenue streams. Purchasing a home, making renovations, earning cash flow from renters, and watching the home’s value appreciate could be the revenue stream I’ve been looking for! Where are you buying a house? I will be buying a house in my hometown of Pittsburgh, PA. My parents and sister still live there, and we all have a good sense of the “best spots” in the city. I love Pittsburgh, and I can see myself visiting 2-3 times per year—especially with my recent move to NYC. On top of hometown knowledge, Pittsburgh is one of those “best value” cities, often getting acclaimed as one of the most walkable, affordable cities in America. Although I’ve just begun planning, I could see myself purchasing somewhere near my dad, close to a train line and some nightlife, like Mt. Lebanon, Mt. Washington, or maybe the Southside. Can you afford to buy a house? Anyone who’s debt-free, has good credit (720+), and earns a steady income can buy a house. However, factors like intent, location, and risk tolerance will decide if one can actually afford a house. As I said above, I intend to purchase a house for investment purposes. That means the monthly mortgage and operating expenses must be less than the rent income I intend to receive: Net Cash Flow = Total Rental Income − (Operating Expenses + Mortgage Payments) Additionally, I need to determine if I can afford the house at the time of closing. Generally, a lender requires a down payment of ~20% of the home’s purchase price. However, as a first-time homebuyer, that payment can be considerably lower. An FHA loan could allow for a down payment as low as 3.5%, but that comes with added upfront and monthly premiums known as MIPs (Mortgage Insurance Premiums), which I would essentially treat as added mortgage payments. As a rough estimate, homes in Mt. Lebanon and Mt. Washington range from $200k to $500k. Per advice on YouTube, I intend to speak with a local lender in Pittsburgh, evaluate my financials, and be told exactly what I can afford. Who’s going to help you? As a first-time homebuyer, this one makes me the most nervous. Even as I write this blog and browse Zillow, I get feelings of doubt. I need to find trusted mentors and professionals to guide me down the right path. Mentors My dad: I’ll look to my dad, a 40+ year Pittsburgh homeowner, to help search for neighborhoods. My dad has also mentioned he’d be willing to periodically visit the house after it’s purchased, which is immensely valuable for me as an out-of-state buyer. Friends: I have two friends in mind who can share their homebuyer stories. One of them was in a similar position to mine: a new NYC resident who bought a house in his Texas hometown. Another friend is a serial real estate investor. YouTube and ChatGPT: I will lean on all the internet’s free resources to help me get the dumb questions answered. ChatGPT is a game-changer for answering FAQs, as it can contextualize answers to my situation and provide solicit-free advice. Professionals Lender: A good lender will be responsive, transparent, and have a proven track record in first-time home buying. Agent: A good real estate agent will have similar qualities to the lender, with strong connections to inspectors and contractors. What’s your timeline? (Sep-Oct): Speak with a Pittsburgh-based lender and learn what I can afford. (Oct-Jan): Search for properties on Zillow, Redfin, and Craigslist. Perform back-of-the-napkin math on the mortgage, operating expenses, and estimated rent to determine if the house will be cash flow positive. (Jan-Mar): Visit a couple dozen homes in person. Look for patterns in why homes are valued the way they are. (Feb-Apr): Make offers. (Mar-May): Make home inspections. Use the data to negotiate credits or a reduced price on the home. (May-Jul): Renovate the house. Be onsite as often as possible to ensure work is being done in a timely manner. (Jul-Sep): Look for renters. Take professional pictures of the house and post it on rental sites. Profit??

5 months ago 23 votes

More in literature

'Merely the joy of writing'

A rare and winning combination: a serious person who seldom takes himself seriously. He keeps his ego a little off to the side, muffled, away from the business at hand. It never disappears. It grows dormant, like some cases of tuberculosis. Jules Renard is such a man and writer, an aphorist and wit with the soul of a peasant. Often, he thinks like a farmer – practical, focused, unsentimental – while writing like a satirist. Here is Renard in his Journal, bargaining with fate on October 17, 1899: “Of all that we write, posterity will retain a page, at best. I would prefer to choose the page myself.”  Renard writing as a commonsensical critic, September 6, 1902: “A great poet need only employ the traditional forms. We can leave it to lesser poets to worry themselves with making reckless gestures.”   More writerly common sense, November 27, 1895: “Keep their interest! Keep their interest! Art is no excuse for boring people.”   A lesson for “cancel culture, August 1896: “We always confound the man and the artist, merely because chance has brought them together in the same body. La Fontaine wrote immoral letters to his womenfolk, which does not prevent us from admiring him. It is quite simple: Verlaine had the genius of a god, and the soul of a pig. Those who were close to him must have suffered. It was their own fault! – they made the mistake of being there.”   Renard sounding like the premise of a story by Maupassant, September 29, 1897: “Some men give the impression of having married solely to prevent their wives from marrying other men.”   On why some of us become writers, May 9, 1898: “Inspiration is perhaps merely the joy of writing: it does not precede writing.”   Renard was born on this date, February 22, in 1864 and died of arteriosclerosis in 1910 at age forty-six. With Montaigne and Proust, he is the French writer I most rely on.   [All quoted passages are from Renard’s Journal 1887-1910 (trans. Theo Cuffe, selected and introduced by Julian Barnes, riverrun, 2020).]

9 hours ago 2 votes
'Even Belles Lettres Legitimate As Prayer'

In the “Prologue” to his 1962 prose collection The Dyer’s Hand, W.H. Auden borrows a conceit from Lewis Carroll and divides all writers – “except the supreme masters who transcend all systems of classification” – into Alices and Mabels. In Alice in Wonderland, the title character, pondering her identity, says “. . . I’m sure I can’t be Mabel for I know all sorts of things, and she, oh! she knows such a very little. Beside she’s she and I’m I.” The categorization recalls Sir Isaiah Berlin’s Foxes and Hedgehogs. Of course, all of humanity can also be divided into those who divide all of humanity into two categories and those who don’t.  Leading the list of Auden’s Alices is Montaigne, followed by the names of eight other writers, including Andrew Marvell, Jane Austen and Paul Valéry. Like Alice, Montaigne knew “all sorts of things” – he is among the most learned of writers -- even while asking “Que sais-je?”: “What do I know?” Montaigne begins his longest essay, “Apology for Raymond Sebond,” (1576) with these words:   “In truth, knowledge is a great and very useful quality; those who despise it give evidence enough of their stupidity. But yet I do not set its value at that extreme measure that some attribute to it, like Herillus the philosopher, who placed in it the sovereign good, and held that it was in its power to make us wise and content. That I do not believe, nor what others have said, that knowledge is the mother of all virtue, and that all vice is produced by ignorance. If that is true, it is subject to a long interpretation.”   Montaigne distills skepticism, which isn’t the same as nihilism or know-it-all-ism. It’s closer to the absence of naiveté, credulity and mental laziness, coupled with an open mind and curiosity. Montaigne was a benign skeptic and a Roman Catholic who lived through the French Wars of Religion. Auden wrote “Montaigne” in 1940, the year France fell to the Germans.   “Outside his library window he could see A gentle landscape terrified of grammar, Cities where lisping was compulsory, And provinces where it was death to stammer.   “The hefty sprawled, too tired to care: it took This donnish undersexed conservative To start a revolution and to give The Flesh its weapons to defeat the Book.   “When devils drive the reasonable wild, They strip their adult century so bare, Love must be re-grown from the sensual child,   ‘To doubt becomes a way of definition, Even belles lettres legitimate as prayer, And laziness a movement of contrition.”   “Death to stammer” is no exaggeration. In the sixteenth century, speech defects were often equated with possession by the devil. The final stanza is a writer’s credo. Auden was born on this day in 1907. He shares a birthday with my youngest son, David, who turns twenty-two today.     [The Montaigne passage is from The Complete Essays of Montaigne (trans. Donald Frame, Stanford University Press, 1957).]

yesterday 3 votes
“Muse Circe Reclaims Her Lucre”

Five new prompts The post “Muse Circe Reclaims Her Lucre” appeared first on The American Scholar.

yesterday 3 votes
The Shape of a Mars Mission

This post is the second in a series. Read part one here. p {line-height:1.6em; } p.caption { margin-top:0px;padding-top:0px;margin-bottom:20px;text-align:center;} a.fnote {text-decoration:none;color:red} img {margin-bottom:0px;} “From a mathematics and trajectory standpoint and with a certain kind of technology, there’s not too many different ways to go to Mars. It’s been pretty well figured out. You can adjust the decimal places here and there, but basically if you're talking about chemical rockets, there's a certain way you're going to go to Mars.” - John Aaron[1] Unlike the Moon, which hangs in the sky like a lonely grandparent waiting for someone to visit, Mars leads a rich orbital life of its own and is not always around to entertain the itinerant astronaut. There is just one brief window every 26 months when travel between our two planets is feasible, and this constraint of orbital mechanics is so fundamental that we’ve known since Lindbergh crossed the Atlantic what a mission to Mars must look like.[2] Using chemical rockets, there are just two classes of mission to choose from: (The durations I give here can vary, but are representative). Long Stay: Spend six months flying to Mars, stay for 17 months, spend six months flying back (~1000 days total). This is sometimes called a conjunction class mission. This profile trades a simple out-and-back trajectory for a long stay time at Mars. Short Stay: Spend six months flying to Mars, stay for 30-90 days, spend 400 days flying back (~650 days total). This is also called an opposition class mission. This profile trades a short Martian stay time for a long and frankly terrifying trip home through the inner solar system. Before comparing the merits of each, it’s worth stressing what they have in common—both are long, more than double the absolute record for space flight (438 days), five times longer than anyone has remained in space without resupply (128 days), and about ten times humanity’s accumulated time beyond low Earth orbit (82 days).[3] It is this inconvenient length, more than any technical obstacle, that has kept us from going to Mars since rockets capable of making the trip first became available in the 1960's. [4] And because this length is set by the relative motions of the planets, it’s resistant to attack by technology. You can build rockets that go faster, but unless you make Mars go faster, you’ll mostly end up trading transit time for longer stay times. Getting a round trip below the 500 day mark requires fundamental breakthroughs in either propulsion or refueling. [5] Delta-v requirements for short stay missions of varying length (left) and a long-stay mission (orange line right) for comparison. Note the sharp jump at around 500 days. source. That’s the bad news. The good news is that these constraints are so strong that we can say a lot about going to Mars without committing to any particular spacecraft or mission design. Just like animals that live in the sea are likely to have good hearing and a streamlined body shape, there are things that have to hold true for any Mars-bound spacecraft, just from the nature of the problem. I. No escape, no rescue A trip to Mars will be commital in a way that has no precedent in human space flight. The moon landings were designed so that any moment the crew could hit the red button and return expeditiously to Earth; engineers spent the brief windows of time when an abort was infeasible chain smoking and chewing on their slide rules. [6] But within a few days of launch, a Mars-bound crew will have committed to spending years in space with no hope of resupply or rescue. If something goes wrong, the only alternative to completing the mission will be to divert into a long, looping orbit that gets the spacecraft home about two years after departure.[7] And if they get stuck on Mars, astronauts will find themselves in a similar position to the early Antarctic explorers, able to communicate home by radio, but forced by unalterable cycles of nature to wait months or years for a rescue ship. Delta-v in km/sec required to return to Earth in 50, 70, and 90 days from various points in a long-stay Mars mission. Values above 10 km/sec are not realistic at our current technology level. source The effect of this no-abort condition is to make Mars mission design acutely risk-averse. You can think of flying to Mars like one of those art films where the director has to shoot the movie in a single take. Even if no scene is especially challenging, the requirement that everything go right sequentially, with no way to pause or reshoot, means that even small risks become unacceptable in the aggregate. To get a feel for this effect, consider a toy model where we fly to Mars on a 30 month mission. Every month there is a 3% chance that a critical system on our spacecraft will fail, and once that happens, the spacecraft enters a degraded state, with a 5% chance every month that a subsequent failure kills the crew. In this model, the probability that the crew gets home safely works out to 68%. But if we add an abort option that can get them home in six months, that probability jumps to 85%. And with a three month abort trajectory, the odds of safe return go up to 92%. These odds are notional, but they demonstrate how big an effect the absence of abort options can have on safety.[8] This necessary risk aversion introduces a tension into any Mars program. What’s the point of spending a trillion dollars to send a crew if they’re going to cower inside their spacecraft? And yet since going outside is one of the most dangerous things you can do on Mars, early missions have to minimize it. The first visitors to Mars will have to land in the safest possible location and do almost nothing. Risk is closely tied with the next issue, reliability. II. Reliability The closest thing humanity has built to a Mars-bound spacecraft is the International Space Station. But ‘reliable’ is not the first word that leaps to the lips of ISS engineers when they talk about their creation—not even the first printable word. Despite twenty years of effort, equipment on the station breaks constantly, and depends on a stream of replacement parts flown up from Earth.[9] A defective heat exchanger packaged for return to Earth from ISS in 2023 Going to Mars will require order of magnitude reliability improvements over the status quo. Systems on the spacecraft will need to work without breaking, or at least break in ways the crew can fix. If there’s an emergency, like a chemical leak or a fire, the crew must be able to live for years in whatever’s left of the ship. And the kind of glitches that made for funny stories in low Earth orbit (like a urine icicle blocking the Space Shuttle toilet) will be enough to kill a Mars-bound crew. Complicating matters is that traditional reliability engineering practices don’t work in life support, where everything is interconnected, often through the bodies of the crew. Life support engineering is much more like keeping a marine aquarium than it is like building a rocket. It’s not easy to untangle cause from effect, the entire system evolves over time, and there’s a lot of “spooky action at a distance” between subsystems that were supposed to be unrelated.[10] Indeed, failures in life support have a tendency to wander the spacecraft until they find the most irreplaceable thing to break. Nor is it possible to brute-force things by filling the spacecraft with spare parts. The same systemic interactions that damage one component can eat through any number of replacements. The bedrock axiom of reliability engineering—that complex designs can be partitioned into isolated subsystems with independent failure rates—does not hold for regenerative life support. The need for long and expensive test flights to validate life support introduces another kind of risk aversion, this time in the design phase. With prototypes needing to be flown for years in space, there will be pressure to freeze the life support design at whatever point it becomes barely adequate, and no amount of later innovation will make it onto the spacecraft. This is a similar dynamic to one that afflicted the Space Shuttle, a groundbreaking initial design so expensive to modify that it froze the underlying technology at the prototype phase for thirty years. In that period we learned nothing about making better space planes, but burned through decades and billions of dollars patching up the first working prototype. Such timorousness goes against the grain of a development strategy that proven spectacularly successful in recent years for SpaceX, an approach you could call “fly often and try everything”. With hardware to spare, SpaceX is not afraid to make wholesale changes between tests of its Starship rocket, relying on rapid iterations to advance the state of the art at an exhilarating pace. But this Yosemite Sam approach to testing won’t work for Mars. It only takes a few hours for engineers to collect the data they need after a Starship launch, while test runs of Mars-bound systems will last for years. The inevitable outcome is a development program that looks an awful lot like NASA, with long periods of fussing and analysis punctuated by infrequent, hideously expensive test flights. III. Autonomy Autonomy is a concept alien to NASA, which has been micromanaging astronauts from the ground since the first Mercury astronaut had to beg controllers for permission to pee (the request went all the way up the reporting chain to Wernher Von Braun). To this day, missions follow a test pilot paradigm where the crew works from detailed checklists prepared for them months or years in advance. On the space station, this takes the form of a graphical schedule creeping past a red vertical line on a laptop screen, with astronauts expected to keep pace with the moving colored boxes. Most routine work on the space station (like pumping water or managing waste heat) is relegated to specialized teams on the ground and is not even visible to the crew. Alan Shepard aboard Freedom 7, explaining that he really has to go pretty bad. But as a Mars-bound spacecraft gets further from Earth, the round-trip communications delay with ground control will build to a maximum of 43 minutes, culminating in a week or more of communications blackout when the Sun is directly between the two planets. This physical constraint means that the crew has to have full control over every system on the spacecraft, without help from the ground. Autonomy sounds like a good thing! Who wants government bean-counters deciding how astronauts spend their space time? But the ground-driven paradigm has its advantages, most notably in limiting workload. The ISS is run by a staff of hundreds who together send some 50,000 commands per day to the station. The seven astronauts on board are only called in as a last resort, and even so the demands on their time are so great that the station has struggled to perform its scientific mission.[11] One benefit of NASA’s backseat driving has always been that in an emergency, the crew has access to unlimited real-time expert help on Earth. The starkest illustration of this came on Apollo 13, when an oxygen tank in the service module ruptured 56 hours into the flight. It took the crew and mission controllers nearly an hour to get their bearings, at which point there was only a short window of time left to power down the spacecraft in a way that would preserve their ability to return to Earth. A transcript of that first hour shows how difficult it was for crew and ground to figure out what was happening, and prioritize their response. It casts no aspersions on the crew of Apollo 13 to say they could not have survived a Mars-like communications delay. And while this mission is the most famous example of ground controllers backstopping an Apollo crew, there were at least five more occasions in the Apollo program when timely help from the ground averted serious trouble: Apollo 12 was hit twice by lightning after launch, scrambling the electrical system and lighting up the command module with warning lights. Flight controller John Aaron recognized the baffling error pattern and passed into NASA legend by telling the crew to flip an obscure switch that restored sanity to their displays. On Apollo 14, the descent radar on the lunar module failed to lock on properly, returning spurious range data. Without a timely call from ground control (who told the pilot to reset a breaker), the problem would likely have led to an aborted landing. On Apollo 15, the crew struggled to contain a water leak that threatened to become serious. After fifteen minutes, engineers on the ground were able to trace the problem to a pre-launch incident with a chlorination valve and relay up a procedure that solved the problem. Also on Apollo 15, a sliver of loose metal floating in a switch caused an intermittent abort signal to be sent to the lunar module engine. Suppressing the signal so the lunar module could descend safely required reprogramming the onboard computer in a procedure guaranteed to raise the hairs on the head of every modern software developer. On Apollo 16, a pair of servo motors on the service module failed in lunar orbit. Mission rules called for an abort, but after some interactive debugging with the command module pilot, ground controllers found a workaround they judged safe enough to continue with the landing. While these incidents stand out, Apollo transcripts reveal numberless other examples of crew and ground working closely to get on top of problems. The loss of this real-time help is a real risk magnifier for astronauts going to Mars. IV. Analysis Another way in which the ISS depends on Earth is for laboratory analysis of air and water samples, which are collected on a regular schedule and sent down with each returning capsule. The tests that can be performed on the station itself are rudimentary, alerting crew to the presence of microbes or contaminants, but without the detailed information necessary to trace a root cause. For Mars, this analytic capability will have to move into the spacecraft. In essence, this means building a kind of Space Theranos, an automated black box that can perform biochemical assays in space without requiring repair or calibration. Such an instrument doesn’t exist anywhere, but a Mars mission requires two flavors of it—one that works in zero G, and another for Martian gravity.[12] This black box belongs to a category of hardware that pops up a lot in Mars plans: technologies that would be multibillion dollar industries if they existed on Earth, but are assumed to be easy enough to invent when the time comes to put them on a Mars-bound spacecraft. [13] Some Mars boosters even cite these technologies as examples of the benefits going to Mars will bring to humanity. But this gets things exactly backwards—problems that are hard on Earth don’t get easier by firing them into space, and the fact that nonexistent technologies are on the critical path to Mars is not an argument for going there. V. Automation The requirement that the crew be able to handle the ship when some members are incapacitated and there is no communication with Earth means that an ISS-size workload has to be automated to the point where it can be run by two or three astronauts. Astronaut Alexander Gerst (right) interacting with CIMON, NASA's $6 million AI chatbot Automation means software, and lots of it. To automate the systems on a Mars-bound spacecraft will be a monumental task, like trying to extend the autopilot on an airliner to make it run the airport concession stands, baggage claim, and airline pension plan. The likely outcome is an ISS-like hotchpotch of software tested to different levels of rigor, running across hundreds of processors. But this hardware will be exposed to a far harsher radiation environment than systems on the ISS, making software design and integration a particular challenge. A special case of the automation problem comes up on long-stay missions, when the orbiting spacecraft has to keep itself free of mold, fungus, and space raccoons for the year and a half that the crew are on the Martian surface. Anyone who owns a vacation home knows that this problem—called “quiescence” in the Mars literature—is already hard to solve on Earth. Unless carefully managed, the interplay between automation, complexity and reliability can enter a pathological spiral. Adding software to a system makes it more complex. To stay reliable, complex systems have to degrade gracefully, so that the whole continues to function even if an individual component fails. But these degraded modes, as well as unexpected interactions between them, introduce their own complexity, which then has to be managed with software, and so on. The upshot is that automation introduces its own, separate reason for running full-length mock missions before actually going to Mars. There will be too many bugs in a system this complex to leave them all for the first Mars-bound crew to discover. Implications The extreme requirements for autonomy, reliability, and automation I’ve outlined are old news to designers of deep-space probes. The solar system is full of hardware beeping serenely away decades after launch, most spectacularly the forty-six-year-old Voyager spacecraft. But no one has ever tried attaching a box of large primates to a deep space probe with the goal of keeping them alive, happy, and not tweeting about how NASA sent them into the vast empty spaces to die. A Mars-bound spacecraft will be the most complicated human artifact ever built, about a hundred times bigger than any previous space probe, and inside it will be a tightly-coupled system of software, hardware, bacteria, fungi, astronauts, and (for half the mission) whatever stuff the crew tracks with them back onto the spacecraft. Designing such a machine means taking something at the ragged edge of human ability (building interplanetary probes) and combining it with something that we can’t even do yet on Earth (keep a group of six or eight humans alive for years with regenerative life support).[14] My argument is not that it is impossible to do this, but that it is impossible to do it quickly. Preparing for Mars will be an iterative, open-ended undertaking in which every round of testing eats up years of time and most of our space budget, like Artemis and the ISS before it. The first decade of a Mars program will be indistinguishable from the last forty years of space flight—a series of repetitive, long-duration missions to orbit. The only thing NASA will need to change is the program name. Nor is this a problem that can be delegated to billionaire hobbyists. Life support is going to be a grind no matter whose logo is on the rocket. The sky could be thick with Starships and we’d still be stuck doing all-up trials of hardware and software on these multi-year missions to nowhere. The only way to explore Mars in our lifetime is to ditch the requirement that people accompany the machinery. Choosing a profile But since we’re determined to go to Mars, and have two profiles to choose from, which one is better? Everyone agrees that only the long-stay profile makes sense for exploration. There’s no point in spending 95% of the trip in transit just to get a rushed couple of weeks at the destination. But on early missions, where the goal is just to get the crew home alive, the choice is tricky. Long Stay The virtue of the long stay profile is simplicity. You fly your rocket to Mars, wait 17 months for the planets to align, and then fly the same trajectory home. Each leg of this transfer journey lasts about as long as an ISS deployment, and it’s possible to tweak the transfer time by burning more fuel (although the crew then has to stay longer on Mars to compensate). At every point in the mission, the ship remains between 1 AU and 1.5 AU from the Sun. This simplifies thermal and solar panel design and greatly reduces the risk to the crew from solar storms. But the problem of what to do with all that time on Mars is vexing. 500 days is a long time for a first stay anywhere, even someplace with nightlife and an atmosphere. And as we’ll see, an orbital mission is probably out of the question. The requirement that the crew go live on Mars on their first visit adds enormously to the level of risk. Short Stay The appeal of the short stay profile is right in the name. Instead of staying on Mars so long they have to file taxes, the first arrivals can plant the flag, grab whatever rock is nearest the ladder, and get the hell out of there. Or they can choose to skip the landing and make the first trip strictly orbital, following a tradition in aerospace engineering of attempting the impossible sequentially instead of all at once. But the problem with the short stay profile is that trip home. The return trajectory cuts well inside the orbit of Venus, complicating the design of the spacecraft and adding spectacular ways for the crew to die during the weeks near perihelion. For most of that journey, the ship is on the wrong side of the Sun, hampering communications with Earth while leaving the crew with no warning of solar storms. And that crew has to spend two consecutive years in deep space, maximizing their exposure to radiation and microgravity, the biggest known risks to astronaut health. The short stay profile also requires more propellant, in some years a prohibitive amount. If your strategy for mitigating risk on Mars is to launch crews during every synodic period, so that there are always potential rescuers en route to Mars, then this is a problem.  A diagram comparing the delta-v requirements for short stay and long stay missions across future launch dates. Since propellant requirements go up exponentially with delta v, a mission in 2041 requires five times as much propellant as one in 2033. source“ Orbit or Land? Once you’ve picked a profile, the other decision to make is whether to land the spacecraft. Obviously you have to land a crew at some point; if you don’t, the other space programs will make fun of you, and there will be hurtful zingers at your Congressional hearing. But since surviving a trip to Mars requires tackling a sequence of unrelated problems (arrival, entry, landing, surface operations, ascent, rendezvous), there is a case for cutting the problem in half by making the first mission orbital. This was the approach taken by the Apollo program, which looped the first crew around the Moon before a working lunar lander existed. Not having to carry a lander on the first mission means more room for spare parts and consumables, which improves the margin of safety for the crew. It also buys time for engineers to work on the hard problems of entry, landing, quiescence, and ascent without holding back the entire program. But there are powerful arguments against an orbital mission. Since so much of the risk in going to Mars is a simple function of time, why roll the dice more than necessary? And given the expense and physical toll on crew, how do you justify not attempting a landing? Imagine driving to Disneyland, turning the car around in the parking lot, and announcing to your family that you’re now ready for the real trip next year. There will be angry kicking from the backseat, and mutiny. NASA has waffled for years over which option to choose. In the 2009 design reference architecture, they favored sending a crew of four on the long stay trajectory. Their more recent plans envision a shoestring mission on a short-stay profile with four crew members, two of whom attempt a landing. Elon Musk, for his part, has proposed solving the problem in stages, sending volunteers to settle Mars first, then figuring out how to get them home later.[15] What makes the choice genuinely hard is that we lack answers to two key questions: 1. How does the human body respond to partial gravity? Decades in space have given us a good idea of what prolonged periods in free-fall do to astronauts, and how they recover after returning to Earth. But we have no idea what happens in partial gravity, either on the Moon (0.16 g) or on Mars (0.38 g). In particular, we don’t know whether Martian gravity is strong enough to arrest or slow the degenerative processes that we observe in free fall.[16] The answer to this question will drive a key decision: whether or not to spin the spacecraft. As we’ll see, spinning a spacecraft to create artificial gravity is an enormous hassle, but whether it’s avoidable depends on the unstudied effects of long stays in partial gravity.[17] 2. What is the risk to the crew from the heavy-ion component of galactic cosmic radiation? Radiation in space comes in many varieties, most of which are well-understood from experience with their analogues on Earth. Low-dose heavy-ion radiation, however, is different. It doesn’t exist outside of particle accelerators on Earth and is hard to study in low orbit, where both the magnetosphere and the bulk of our planet shield astronauts from most of the flux they’d experience in free space. Heavy ion radiation has biological effects that are not captured by the standard model of radiation damage to tissue. In particular, there is a class of phenomena called non-targeted effects (NTEs) that are known to damage cells far from the radiation track. This is a weird effect, like if found yourself hospitalized because your neighbor got hit by a car. It’s believed that NTEs disrupt epigenetic signaling mechanisms in cells, but the phenomenon is poorly understood. Uncertainty about the effects of low-dose heavy ion radiation widens our best guess at radiation risk by at least a factor of two.[18] At the low end of the range, these effects are just a curiosity, and Mars missions can be planned using traditional models of radiation exposure. At the high end of the range, long-duration orbital missions may not be survivable, and astronauts on the Martian surface will either have to live in a cave or cover their shelter with meters of soil. Prediction of tumor prevalence after 1 year of galactic cosmic radiation exposure. The solid line at bottom shows the standard radiation model (TE). The dotted lines show the influence of non-targeted effects (NTE) under different assumptions. Note the nearly threefold uncertainty in predicted tumor prevalence in the unshielded case. source This uncertainty about biological effects makes radiation the greatest uncharacterized known risk facing a Mars-bound crew, and it affects every aspect of mission design. It’s helpful to combine the three main risk factors in going to Mars into one big chart:  table.risk { font-size:1.1em; margin:0px; margin-top:20px; width:550px; border-spacing:0px; } caption { font-size:1.2em; margin-bottom:10px; color:#777; } th { text-align:center; padding-bottom:10px; } td { text-align:left; padding:14px; margin:0px; } td.risk {border:1px solid #777;} td.unknown { background:#888; color:white; } td.low { background:#afa; } td.mid { background:#ff9; } td.high { background:#fc9; } td.vhigh { background:#f99; } Technical Risk OrbitLand Short Stay Spacecraft trajectory complicates spacecraft design, communications are a challenge. Requires working lander and ascent stage, less margin than orbital mission. Long Stay Lowest complexity, large mass budget for spares and consumables. Highest complexity, all-up mission must work on the first try. Radiation Risk OrbitLand Short Stay 600 days in deep space, return trip requires close solar approach (0.7 AU). Risk from solar particle events may require flying near solar minimum, incurring higher GCR dose. Long Stay Risk of death or incapacitation from heavy ion component of GCR may exceed 50% Lowest radiation exposure, but adequately shielding the habitat on Mars increases complexity and contamination risk Deconditioning Risk OrbitLand Short Stay 1.5 times beyond human endurance record; crew at risk for bone fractures and eye damage. Long Stay 2.5 times beyond human endurance record. Physiological effects of partial gravity unknown. The gray areas in these grids represent knowledge gaps that have to be filled before we decide how to go to Mars. How long this preliminary medical research would take is anyone’s guess, but it has to be some multiple of the total mission time. Studying partial gravity in particular is tricky—you can do it on the Moon (42% of martian gravity) and hope the results extend to Mars, or you can build rotating structures in space and do more precise tests there. Studying radiation effects means flying animals outside the magnetosphere for a few years and then watching them for tumors, which (unless the radiation news is really bad) is also going to take some time. In software engineering we have a useful concept called “yak shaving”. To get started on a project you must first prepare your tools, which often involves reconfiguring your programming environment, which may mean updating software, which requires finding a long-disused password, and pretty soon you find yourself under the office chair with a hex wrench. (The TV show Malcolm in the Middle has a beautiful illustration of yak shaving in the context of home repair.) The same phenomenon afflicts us in trying to go to Mars. It would be one thing if, given enough rockets and money, explorers could climb on a spaceship and go. But there is always this chain of necessary prerequisites. We paint Destination: Mars! on the side of our spaceship and then find ourselves in low Earth orbit a decade later, centrifuging mice. It’s dispiriting. It’s tempting to say “you can just build things” and dismiss all this research and testing as timid and unnecessary. But this would mean ignoring the biggest risk factor for Mars, which I’ll include here for the sake of completeness. Unknown Risks OrbitLand Short Stay Unknown Unknown Long Stay Unknown Unknown A trip to Mars is so difficult that we don’t have the luxury of ignoring known risks—we need all the room we can spare in our risk budget for the things we don’t know to worry about yet. My goal in all this is not to kill a cherished dream, but to try to push people to a more realistic view of what it means to commit to a Mars landing, and in particular to think about going to Mars in terms of opportunity costs. In recent years, there’s been a remarkable division in space exploration. On one side of the divide are missions like Curiosity, James Webb, Gaia, or Euclid that are making new discoveries by the day. These projects have clearly defined goals and a formidable record of discovery. On the other side, there is the International Space Station and the now twenty-year old effort to return Americans to the moon. These projects have no purpose other than perpetuating a human presence in space, and they eat through half the country’s space budget with nothing to show for it. Forget even Mars—we are further from landing on the Moon today than we were in 1965. In going to Mars, we have a choice about which side of this ledger to be on. We can go aggressively explore the planet with robots, benefiting from an ongoing revolution in automation and software to launch ever more capable missions to the places most likely to harbor life. Or we can stay on the treadmill we’ve been on for forty years, slowly building up the capacity to land human beings on the safest possible piece of Martian real estate, where they will leave behind a plaque and a flag. But we can’t do both. Next time: Eyes and Bones Footnotes [1] Quote taken from a 2000 oral history with Aaron. [2] For an early example, see the 1928 Scientific American article, “Can we go to Mars?”, While understandably hand-wavy about the means of propulsion, it describes a conjunction-class orbital mission not substantially different from NASA’s 2009 Design Reference Architecture. [3] Valerii Polyakov set the 437 day record on a space flight that landed in 1995. The International Space Station went without resupply from Nov 25, 2002 to April 2, 2003. Nine Apollo missions went beyond low Earth orbit, the longest of these (Apollo 17) was gone 12.4 days. [4] The Saturn V was capable of launching about 20 tons on a Mars flyby trajectory. NASA undertook preliminary planning for such a mission (requiring four Saturn V launches) in 1967. [5] In 1987 a team chaired by Sally Ride proposed a ‘split/sprint’ mission architecture that is probably the best way to get to Mars. In this architecture, slow-moving tankers pre-position cryogenic propellant depots in Mars orbit, and then in the next synodic period a human mission (the “sprint” part of the mission) lands briefly on Mars, refuels from the orbiting depots, and get home within 400 days. Such a mission requires about 15 heavy launches and two nonexistent technologies: long-term storage of liquid hydrogen in space, and the ability to pump liquid hydrogen between spacecraft in space. (Interestingly, both of these technologies are part of Blue Origin's plan to build a moon lander). The other way to get to Mars fast is with nuclear thermal rockets. A nuclear thermal rocket is just a nuclear reactor that shoots hot hydrogen out one end. Nuclear thermal rocket designs are about twice as efficient as chemical rockets, making it feasible to fly missions with higher delta V requirements. [6] For a comprehensive discussion of Apollo abort modes, see 1972 Apollo Experience Report - Abort Planning. [7] You can read about possible Mars abort modes in Earth to mars Abort Analysis for Human Mars Missions. What kind of a failure scenario would even benefit from a two-year abort option is an interesting philosophical question. [8] I wrote a little python script if you want to play with these scenarios yourself. [9] Life support equipment on ISS is packaged into components called ‘Orbital Replacement Units’. In some cases, this means that an assembly weighing hundreds of kilograms has to be flown up because a tiny sensor within it failed. Here's a partial list of ORUs replaced in calendar year 2023 (source): Heat exchanger in Node 3 Common cabin air assembly water separator Node 3 water separator Common cabin air assembly water separator liquid check valve 21 charcoal filters stationwide HEPA filters in Node 3 Blower in carbon dioxide removal assembly (twice, first replacement failed) Sample Distribution Assembly in Node 3 Mass Spectrometer assembly Multifiltration bed Pump in oxygen generation assembly [10] An early urine reprocessor on the space station failed after it got clogged up by calcium crystals from the astronauts' dissolving bones, an effect of weightlessness that wasn't properly accounted for in the design. [11] The 50,000 command figure is from The ISS: Operating an Outpost in the New Frontier, a detailed primer on space station operations. ISS utilization has gone up in recent years, but still remains below 80 hours/week—two full-time equivalents. The seven-member crew spends most of their waking time on mandatory exercise, housekeeping, and station repair. [12] Existing instruments in space are usually set up to identify chemicals on a target list of 10-20 substances, a much easier task than identifying arbitrary compounds. For the state of the art on the latter, see Progress on the Organic and Inorganic Modules of the Spacecraft Water Impurity Monitor, a Next Generation Complete Water Analysis System for Crewed Vehicles (ICES-2023-110). [13] Other examples of magic Mars technology include leakless seals for spacesuits, waterless washing machines, biofilm-proof coatings, nutritionally complete meals that can be stored for years at room temperature, and autonomous solar-powered factories for turning CO2 into hundreds of tons of methane. [14] The endurance record for closed-system life support belongs to Biosphere 2, which kept a crew alive for 17 months before oxygen fell to dangerous levels because of unanticipated interactions with building materials. [15] Plans involving Starship and Mars depend on being able to produce hundreds of tons of propellant on the Martian surface so the rockets can launch again. In the absence of any details from Musk or SpaceX, the closest thing we have to a detailed plan is this analysis in Nature. [16] For all we know, the set of problems collectively called "deconditioning" could get worse in partial gravity. This goes against our intuitions, but there have been bigger surprises in space. [17] Another decision that hinges on the effects of partial gravity is whether or not to include heavy exercise equipment on the Mars surface habitat, where space and mass are at a premium.

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