Hey Mars settlement fans: I modeled the economics of starting a city on Mars, including the use of Mars resources to build over a few decades, and including income to offset costs. The model indicates much cheaper than @elonmusk estimated here:https://twitter.com/elonmusk/status/1159964499975135232?s=20.../12/ For this model, I used actual data from the US Census bureau, the bureau of labor statistics, etc etc, assuming most segments of the economy will be built on Mars. A portion of the residents will work in the services sector (NAICS 51) just as in the US economy, so... 3/ ...exports from those workers will be "massless", easy to transport back to Earth. Including only those exports, the settlement can completely pay for ongoing imports of materials from Earth within a couple decades, thus keeping total cost low... 4/ I was surprised. Using Elon's transportation cost estimate and actual all-sectors economics data, the total Elon would need to outlay looks quite low. This is a zero-interest J-curve (i.e., the loan covered by Elon). It goes no lower than $2.5B at the deepest point.5/ Certain segments of our current economy would be totally omitted (e.g., leather and wood) and the new costs for making air & water plus doing indoor agriculture are not that large compared to the total economy, thus easily absorbed. 6/ The biggest challenge was to estimate the number of unique items manufactured in a closed (self-sustaining) supply chain. Do we make 100,000 unique electronic components? What capital assets are needed to make them? Can we redesign everything to use fewer unique parts? 7/ Some researchers I know are working on reducing the number of unique parts for an off-planet economy. The extreme limit is a "general self-replicator" where *one* machine is able to make all of itself. This new model avoids fanciful extremes, so... 8/ ...it only assumes a modest reduction in supply chain breadth. Instead of 1000 types of bolts, Mars might start out by making only 100 types of bolts and design everything for just that. But this question is IMO the biggest source of uncertainty in the model. 9/ Everybody who knows me knows I am more of a cislunar person: put industry in cislunar space using lunar and asteroid resources to save the Earth (and get revenue servicing Mars transports). This modeling result surprised me. I no longer think settling Mars will be that hard. 10/10 I plan to present this model on Friday at the ESA's Space Based Solar Power workshop as part of a discussion on how we can use space resources to build clean energy for Earth.
The label was bad on the graph. That was net imports/exports but did not include initial hardware development costs or human immigration costs. Those costs can never be recouped (per this model) so Elon & immigrants will need to just pay them. A rough estimate says… 1/22/2...only $10B for the initial habitat extrapolating from NASA's design reference mission + this cost estimator: https://globalsecurity.org/military/intro/reference/calc/AMCM.htm#Block%20Number with economies of scale and cheap transport reducing further. The model includes ongoing habitat expansion via self-funded in-situ industry.
For this model, I used actual data from the US Census bureau...
The extreme limit is a "general self-replicator" where *one* machine is able to make all of itself. This new model avoids fanciful extremes, so...
QuoteFor this model, I used actual data from the US Census bureau...This seems to be a faulty assumption.
Quote from: JohnFornaro on 12/09/2021 01:18 pmQuoteFor this model, I used actual data from the US Census bureau...This seems to be a faulty assumption.It's an *imperfect* assumption to be sure (like all analogies), but do you have a better suggestion about what assumption should have been used instead?
Quote from: Twark_Main on 12/09/2021 03:44 pmQuote from: JohnFornaro on 12/09/2021 01:18 pmQuoteFor this model, I used actual data from the US Census bureau...This seems to be a faulty assumption.It's an *imperfect* assumption to be sure (like all analogies), but do you have a better suggestion about what assumption should have been used instead?The salaries of the astros involved are immaterial to the costing, as I see it.
Dr. Metzger's presentation starts at 2:43:15:
Quote from: JohnFornaro on 12/09/2021 08:24 pmQuote from: Twark_Main on 12/09/2021 03:44 pmQuote from: JohnFornaro on 12/09/2021 01:18 pmQuoteFor this model, I used actual data from the US Census bureau...This seems to be a faulty assumption.It's an *imperfect* assumption to be sure (like all analogies), but do you have a better suggestion about what assumption should have been used instead?The salaries of the astros involved are immaterial to the costing, as I see it.I see nothing in those tweets to suggest that this is how the model works.
I’ve done a lot of work on this question and it is surprisingly affordable (relatively speaking). Making air etc. is negligible cost compared to iPhones and everything else so is easily absorbed. But the problem is the scale needed to be self-sufficient. It requires O(1M) ppl /12/…or possibly O(100k) ppl.
The modeling was based on extensive US economic data so was realistic except the key assumption is that we can “skinny down” the supply chain by redesigning everything to reduce the number of unique parts and materials. E.g., instead of using 1000 types of bolts, use just 100./12/ i had to make a crude guess at the amount we can narrow the supply chain in each sector. The mode then assumes that we only increase population as we build the factory machines that need people to operate them (or whatever other kind of job is needed) so no extra ppl to feed.3/ The model assumes we import everything from Earth but evolve toward sufficiency by building capital equipment & buildings over time. We retire first those sectors that produce the most mass per capital mass to reduce import mass ASAP. Move through the sectors over time.4/ The model found that it takes about 40 years by this lowest-expense method before the economy can be self-sustaining, but that figure depends heavily on my guesses at how much we can narrow the supply chain.5/ The cost of establishing this industry (a full supply chain on Mars) is offset be “massless” exports (data, services, tech licenses, etc.) back to Earth. Using US economic data for these sectors the exports can be very substantial and keep net costs quite low.6/ By the time about $150k ppl live in Mars the debt per capita on Mars is comparable to the cost of an Orlando home. By about 20 years or so the settlement is profitable so debt is decreasing. (But this assumes Elon covers the cost of initial settlement on a zero interest loan.)7/7 These results are preliminary and I plan to make the model more rigorous before publishing. But I was surprised that it came out as optimistic as it did.
The model appears to depend on Mars being able to sell services (as opposed to goods) to Earth. I don't understand how/why that would happen.