Uber and Lyft drivers' median hourly wage is just $3.37, report finds
theguardian.com
theguardian.com
Alliance of Automobile Manufacturers, BP, ClearPath Foundation, Conoco Phillips, Duke Energy, Electricité de France, EnBW, ENGIE, ENI, Eversource, Exelon Corporation, ExxonMobil, Gas Natural Fenosa, GE, Golden Spread Electric Cooperative, Inc., Iberdrola, IHI Corporation, EDPC J-Power, Kiewit Energy Group Inc., National Grid, Norwegian Ministries, PSEG, Southern Company, Swedish Energy Agency, Toyota Motor Corporation, TransCanada Corporation
I think Uber/Lyft economics are problematic, but these guys have pretty solid incentives to make Uber/Lyft look unviable.
If the majority of research is tainted by conflicts, that doesn't somehow make it any less tainted by conflicts.
It's trivially easy to design a study to produce the results you want it to, just by selecting things like accounting methods at the outset.
For example, one method of accounting is to allocate costs based on usage. So if you have a car and you drive it 90% for Uber and 10% for your own usage, allocate 90% of all costs to Uber. That makes Uber look really bad.
But if you would have bought the car either way and the question is the incremental cost of driving for Uber, that accounting method is the sunk cost fallacy. It allocates large fractions of a bunch of fixed costs to the incremental use, like the original purchase price of the car, even though they're sunk and can't be avoided either way.
And the money actually does taint the study, because the funders know the parameters of the study ahead of time and only fund the ones that will produce the results they want, which makes the results tainted by selection bias.
> Of the five sources of cost estimated per mile (Insurance, Maintenance, Repairs, Fuel and Depreciation), approximately 40% of costs are attributable to Insurance, Maintenance and Repairs, 40% to fuel expenses, and 20% to depreciation.
That's because -- and this is the real problem -- finding the flaw in a specific methodology is a lot of work. It's often not just one thing that throws the numbers off by 200%, it's one thing that throws them off by 12%, then another by 7%, and twenty other little things that add and multiply up to an inaccurate overall conclusion. It can take multiple hours to figure out what actually happened and people don't have that kind of time, so the majority of people only have time to read the conclusion and who sponsored it.
In theory the solution to the problem of everyone having to personally evaluate every study is for a trustworthy reporter to do it for you, but that hasn't worked ever since reporters figured out that "Uber eats souls" gets more clicks than "wage study methodology miscalculates wages."
But if you want a real flaw in this study, how about this one -- most other jobs don't let you count transportation expenses against the hourly wage. Obviously an Uber driver's transportation expenses will be higher, but that doesn't mean you can discount them in the other cases when you count them in this case.
If someone has a 30 mile commute (because living closer to work is even more expensive) at $0.53/mile, that's 60 miles a day, so $31.80 in daily incremental expenses to take the job. 8 hours at federal minimum wage ($7.25/hr) is $58, so after transportation expenses their hourly wage is $3.28/hour. For someone with a 50 mile commute it's $0.63/hour. Suddenly Uber doesn't look so bad.
Good job in pointing out this huge flaw in this study. Every minimum wage job I ever worked required me to have a vehicle to get to and from that job. That means that every minimum wage job out there where you need to pay for transportation to get to it is paying below minimum wage as the end the day. Those who live in cities have the benefit of public transportation but also have the time cost of being slower and reduces the number of waking hours they can earn money. What's the hours lost commuting averaged across and subtracted against the number of worked?
Does their methodology ascribe only the incremental aspect of each of these costs?
If I own a car already for my own personal use. I'm going to deal with all of these costs. You're already going to have insurance, maintenance and repairs, they'll just be more frequent. Fuel expenses is the only input that can be accurately estimated and attributed to ridesharing work performed. Even this contains a huge variable. Did they account for drivers using hybrid vehicles, which more and more ridesharing drivers opt for because it's significantly more profitable? Is the median TNC driver using a more fuel efficient vehicle than the one they accounted for in their calculations?
The fact that the study doesn't have an entire section that I found entirely devoted to potential problems with their methodology that we are pointing out here is reason enough to discount it as tainted after also considering its funders.
They're clearly trying to gauge incremental costs, not fixed costs, and each of insurance/maintenance/repairs/fuel/depreciation are incremental. The breakdown between the personal and ride-hail vehicle use is part of the study and appears in the sentence previous to the quoted one as "the vast majority of drivers report that the bulk of the miles they drive are for ride-hailing".
In that case, it's grossly irresponsible to publish what little they have. Society is still struggling to correct the "statistic" that a woman earns 70 cents for every dollar a man earns. This new statistic about how much TNC drivers make is going to be accepted as fact from here on out, when it's grossly misleading.
> "the vast majority of drivers report that the bulk of the miles they drive are for ride-hailing"
That doesn't change the fact that the vast majority of the drivers would already have that car as a sunk cost whether they drove the vast majority of those miles for ridesharing or not.
A car has a resale value. That resale value decreases with each additional mile on the odometer. That's the depreciation incremental cost.
A car requires insurance. Insurance rates fluctuate based on miles driven per period (and also based on whether the car is used in ride-sharing).
A car requires maintenance and repairs are incurred on a per mile basis. For example, when a $30 oil change is needed every 3K miles with 300 miles of trips to the grocery store and 2700 miles of Ubering, it'd be asinine to assign that cost in a way other than $27 of that going to Ubering.
A car requires fuel. The same logic as the oil change; $30 for gas to drive 30 miles to the grocery store and 270 for Uber can be uniformly distributed per-mile.
Is everyone supposed to personally fully read every individual scientific study? That doesn't scale.
The only way it works is to have experts you trust to give you the truth, which is what the scientists are supposed to be, but the funding source undermines the trust.
But if the topic interests you enough for you to comment about it and there is a research paper that you can read, then just read the dang paper or let other people make decisions for you. Nobody has to give you the truth. And, on top of that, even if the results of research are quantified, there may not even be an unquestionable “truth” — the implications of the research can still be up to interpretation.
Then you have to figure it out for yourself. For everything. Which, again, doesn't scale.
At some point you do need to trust some people to make some decisions for you. But what kind of fool trusts someone with a conflict of interest?
Science isn’t a matter of trust, it’s a matter of verifiable results. The results of a scientific research paper must be repeatable by a third party following the same methods. Go see the merits of the research: it’s methodology, its results. If everyone simply looked at a list of funders and went “welp... this research is biased and invalid”, then we would have hardly any “valid” research.
This sort of behavior should not instill confidence in the paper's conclusions. And I think it was completely reckless of the Guardian to run an eye catching headline with absolutely 0 justification given to the numbers other than an implicit appeal to authority by calling it an MIT paper. Though such is the state of the media today.
The paper is fairly open about their methodology, and give access to things like the actual survey being answered, rather than just saying "a survey matching these criteria was used".
Most of their data apparently has come through Harry Campbell [1], and his yearly survey, which has it's own data and methodology out in the open [2].
I'm not remotely qualified to analyse it, but you can see the data from therideshareguy's survey if you're looking to critique the results of this paper. (I've edited this paragraph to try and get less push/offensive. I'm still not happy with it, but the aphasia is kicking my butt. Rest assured, I'm just trying to be helpful, and just wanted to point the direction to discussing the data. Still not happy with this phrasing either.)
[0] http://ceepr.mit.edu/files/papers/2018-005.pdf
It makes sense to try and figure out what the funders would want the answer to be and see if the research matches that. If it does, shouldn't you be more skeptical?
For example, if Exxon funded research saying that global warming isn't caused by man or Walmart funded research saying that raising the minimum wage causes mass unemployment then it's pretty clear that they would benefit from the result.
In this example it looks like these companies probably just want to be associated with MIT (or they have an interest in other pieces of research) and I can't see any particular reason to suppose that they'd be invested in the outcome of this study in particular.
A) Not always. Bill Gates funding malaria research doesn't benefit him.
B) If you benefit from the research being accurate and truthful that's very different to only benefitting if the research yields a particular answer.
What would a rejection of business models such as Uber's mean to SV, it's means of wealth, it's self-image?
Last time I pointed that out I was downvoted for some unknown reason.
My neighbor was talking about buying a new car to drive for lyft/uber and I was like "the trick is to tear up somebody else's car." We'll see if he heeds my advice though I kind of doubt it since he has an MBA and I'm just the resident slacker who happens to know the business.
If you have like a 2000 camry (which runs forever) depreciation seems to be virtually 0, especially if you buy the car used and only pay like 1 grand.
Also, I can imagine if you're just shuttling food around instead of passengers, you can get away with a worse car. Nobody wants to hop in a bucket and go somewhere, but food delivery doesn't matter.
Yes, anecotes are not evidence, but this article is interesting. https://jalopnik.com/5885287/how-i-put-750000-miles-on-my-ho...
And besides, you can buy a car for 4k with a lot of miles. At that point it's like a dishrag. You use it to do your job until you need a new one. Blows up by the side of the road? Tell your customer that happened, buy AAA, and depending on how bad it is, you can fix it yourself after it gets towed home, or junk it and buy another.
Or am I missing something?
http://aircarecolorado.com/index.php/consumer-information/20...
If I'm reading this right, this just means if your car is older you have to get it inspected.
I somehow doubt that classic cars (Mustang, Camaro, Corvette, 510) are banned anywhere in the country - they might have to meet more stringent tests.
I mean, you do learn things; my understanding is that it's sort of a 'survey degree' that gives you a shallow treatment of a lot of different business disciplines. If they would have let me take the MBA without an undergrad, even at a so-so school, I would have done it a few years into my own adventure running a business, and I think it would have helped me. If you have management experience and skills, a MBA even from a not so great school can help. But I think the difference between a MBA from a meh school and a MBA from a top school is overall far greater than the difference between an engineering degree at a meh school and an engineering degree at a top school.
There is some value to the content, even though I totally agree that the contacts are dramatically more valuable than the content if you go to a good school.
Personally, I find that finding management and business content on my own is actually harder than finding Engineering content on my own; management and business training is full of tony robins style confidence men, and it's difficult, for me at least, to sort out what is actually worthwhile. For that matter, just an overview of what sort of professional to hire in what situation would be nice. (For instance, if you are just looking for tax help and don't plan on selling the company, an 'Enrolled Agent' is actually better than a 'CPA' though the two certifications are of similar difficulty; the EA focuses on dealing with the IRS, while the CPA has more of a focus on the accounting you would need if you are selling your company or something.)
Hard to believe but the number of votes something gets != the quality or accuracy of the statement.
I could be totally wrong but if I were a betting man...
No it isn’t, because externalities. With Uber dodging all its taxes who is paying for the infrastructure and services it relies on?
If you are an Uber driver in London neither you nor Uber is paying any NI but you’d still expect the NHS to treat you...
And NYC taxis relied on mostly immigrants driving 12 hours a day; in cheap fleet cars.
The medallions (for a long time) were an appreciating asset. So only the interest on the loans were an actual expense. 5% interest on a million dollar loan is only 50k a year. And they’d offer split it amongst drivers (two or three split a car).
> "Why is it that a company that's supposed to be vastly more efficient due to use of computers can't make a profit?"
Well Uber/Lyft are probably focused on growth now. They will make plenty of profit once they dominante every city with driver-less cars.
But hey, all for big money!
I, for one, receive competitive salary from market and would love my work be additionally subsidized by VC. Ruin me all you can.
Why not?
It's the primary reason we don't need a minimum wage - working in the service industry or any other relatively unskilled work isn't "a career" so it doesn't matter if it only pays 2 bucks an hour, so goes the reasoning because nobody should be expecting to do it for long or make a life out of it.
It's myopic.
Why the f*ck should teachers not be paid enough to support themselves and have a life? Wow.
Wait, you added that part just now.
I don't see why you couldn't drive a taxi for a living (though I don't know if that is all that was meant by "career"), but taking for granted that you will be paid well seems off.
No, I'm still confused. What is the problem with being an elevator operator for life and expecting a good wage?
I don't see nothing wrong with that - it's a job that requires no qualifications, has no boss, flexible hours, is not demanding physically or intellectually. In short - a dream job for many people. It only makes sense for it to pay less than say a grueling job at a factory.
I haven't read more ambiguous and ludicrous statement on here ever.
Please evaluate your point, because if you are right then a huge number of workers across the globe should not have a career in driving.
This sentence makes no sense to me. How can something's "market rate" be non-profitable for the producer? If you have market forces acting on something the balance of forces will necessarily push the price higher than the price of production.
If something doesn't make sense to sell because it's too cheap, the market actors will not produce it, lowering the supply and decreasing the offer, thus increasing the price. eventually, you have to reach a price balance somewhere higher than the initial cost of production, for at least a subset of the producers.
You are confusing 'making a living' with making something. Even if a driver only nets $3.37/hour, that is still 'profit'. Just not enough to feed/house/etc yourself if it's your primary source of income.
When the same market can suddenly be open to anyone you get people cramming into elevators and buses so that everyone is uncomfortable.
The entire US revolves around gates and monopoly like jobs. The greatest gate being the immigration gate. Technology empowers everyone and moves everyone towards the mean. Which is bad for groups that are above the mean.
As for drivers, my anecdata is that many claim to make "good money" (in their words). I've had a guy say Uber doesn't make him money, but then he followed up by saying he's a retired guy just doing it to keep active and that he owns two convenience stores...
If you read threads about biking[0], people seem to be motivated to bike more than they are motivated to drive. Although these same people are stymied by negative conditions. Self driving cars could improve biking conditions by opening up roadways, making them safer, providing better point to point transit.
I don't think that I necessarily agree that this means bike shares will succeed though, I think private bike ownership has a lot going for it.
And if they kill each other and the winner raises the price, I suspect Detroit wins.
Revenue
daily rides*365*$1
Costs $250 per bike
+ $15 per month for maintenance
+ 20% chance of catastrophe amortized over the fleet
= ~$500
+ rebalancers + insurance + overhead?So maybe 2 rides per bike per day gets them in the green?
The only reason Uber and Lyft work is that there are a ton of people with limited job skills, who have time on their hands, are short on cash, and need to spend their extra time trying to make money. Sure, there may be "bored people" who do this because they're retired or whatever, but that's a tiny minority. Most people do not become part-time cab drivers because it's more fun than what they would normally do with their free time.
A significant amount of our economy is dependent on people having two or three or four jobs, and a lot of those people live in or very near to cities, and have cars. If wages improve across the board, or people move farther away from cities, or people get rid of their cars, ride-sharing is screwed. Much of the "gig economy" is dependent on similar conditions. If we had better access to jobs and a living wage, a lot fewer people would be "gigging" to get by.
Another reason (there's probably dozens) why the gig economy is incentivised today are things like rising health care costs, rising cost of housing, rising cost of education, and lack of availability to retirement or pensions. We all know we're supposed to save, but it's harder and harder to save. So people have to pick up gigs.
My partner is a teacher and gets paid well for her position, but she still has to Airbnb out a room in her home because the insurance, taxes, and mortgage are absolutely insane. If she makes it to 25 years or whatever it is without killing herself from stress, maybe she can finally retire. Except, oh wait, the state isn't funding the teachers' pensions and will run out of money in eight years! Fun.
Point is, the gig economy is here because almost every strata of people below "upper-middle-class" have been getting slowly screwed for decades. It's not designed to give people a working income. It's designed to fit into the cracks in the system - and the cracks keep getting bigger.
I used to drive a taxi - I fell into it when I needed a job but was overqualified for just about everything. I learned a lot from my passengers.
The taxi company I used to drive for has adapted. I think they'll survive until uber runs out of money, simply because fleets of similar vehicles are cheaper to maintain. A Prius will last 400,000 miles, with rebuilt batteries and cheap parts from a boneyard (retired/wrecked vehicles).
The taxi company now leases unbranded cars that can be used by drivers for any of the app-based services. The company's contracts pay better than non-surge uber fares, which motivates the drivers to take care of the company's contracts too.
> Point is, the gig economy is here because almost every strata of people below "upper-middle-class" have been getting slowly screwed for decades.
I call the phenomenon "economic cancer".
If cars with safety drivers don't count, nearly a year ago if you move to Pheonix and get lucky [1]. They're apparently planning to launch in more cities "soon" (though I can't find a list or date) [2] and they've recently got permission to start charging passengers and intend to by the end of they year [3].
So I think "decades" is an exaggeration.
[0] https://www.theverge.com/2017/12/6/16742924/lyft-nutonomy-bo...
[1] https://www.theverge.com/2017/4/25/15415840/waymo-self-drivi...
[2] https://www.theatlantic.com/technology/archive/2018/01/waymo...
[3] https://www.digitaltrends.com/cars/waymo-now-a-full-ride-hai...
(But yeah, we are very far from cars navigating urban areas, or indeed anyplace where weather is inclement and so are people.)
Even if you have a driverless solution today it'll take years to test it and get it certified.
[1] https://googleblog.blogspot.com/2010/10/what-were-driving-at...
In the 2004 DARPA Grand Challenge, of 21 teams entered, 15 qualified to race on the course, and none finished the 240 km course. The best result was 12km. That was off road, with no requirement to obey traffic laws or other cars to hit.
Since 2009, Google/Waymo has 5 million driverless miles under their belt.
Is it 5 years away? I don't know, but this is not the same story forever. This is iterating and improving at a breakneck pace.
The problem with predicting these curves is there's usually a confluence of factors that lead to that tipping point. When the right algorithms, hardware, and software are combined it'll be obvious in retrospect, but right now we're still fumbling around with primitive solutions.
When will there be a TPU-type device suitable for in-car use? When will there be adaptive deep-learning algorithms available that can work in the demanding real-time environment of a vehicle? When will enough testing be done that we know such a solution can work without endangering people?
It will happen, but pinning down when is very hard. You'll only know when you're close, and by then you're already flipping from impossible to inevitable.
I think the optimists are thinking "oh, the high-level problem of image recognition and building a 3D model of the area around the car is pretty much a solved problem, great, done!" But in fact, it's all the edge cases that will kill you. What happens when it is dark and rainy and the car in front of you is black, with no license plate? What happens when the car in front of you hits something in front of them unexpectedly? What happens when the car gets a flat tire? What happens when someone doesn't look in their mirrors before changing lanes? What happens when your "there's a problem" solution (like, say, stopping or slowing down) is actually not a good solution?
I have been in all of those situations except for the black car, and the humans involved all made spectacularly poor decisions.
People who claim that self-driving cars will have failure modes far underestimate the failure modes that humans have.
Now they have permits to run around 100% humanless apparently.
So, at best, they become a 40-billion dollar driver/rider match-making algorithm and a pretty CRUD app. Unless Uber itself is working on autonomous driving technology. It's so easy for drivers and riders to switch between ridesharing apps (e.g., ever see an Uber driver that also has a Lyft sticker on their car? I have, many times), I don't see how any of them can solidify a competitive advantage of sorts long-term.
But looks like I was wrong. They do have a self driving car service running for a group of testers, but apparently it is currently free so I don't think it counts. On the other hand they've got permission to start charging and have said they plan to this year, so I'd still expect them to beat Tesla.
Source: https://www.digitaltrends.com/cars/waymo-now-a-full-ride-hai...
Let's assume, for the sake of argument, that the concept is viable in urban areas within 5 years and Uber puts a massive fleet of self driving vehicles on the road.
While it's certainly true that they wouldn't have to pay drivers it would be a massive shift in capital investment.
The "genius" of Uber is shifting the necessary capital investment for hundreds of thousands of vehicles onto the drivers.
Assuming one car costs 30K (which I think is on the very low side) it costs 3Billion to put 100'000 cars (which also seems very low with Uber's global ambition) on the road.
That's an upfront investment currently incurred by the drivers.
So it has to buy parking.
What happens when they break down?
Servicing.
How often do they have to replace their fleet?
$3 billion every 5 years.
> So it has to buy parking.
Rent parking spaces in people's driveways! :-)
Also, I never understood what kind of problem companies are trying to solve with self driving cars to be honest. Traffic in cities will be the same, if not worse. And I consider driving as one of the things I really enjoy doing. Why take that away?
The second point is that there are two keys to making money out of this: Have self-driving cars, find customers to rent the self-driving cars. Uber is already established in the second part. So it might be true that another company buys the cars and tries to run the business, but uber has the established customer base.
In my opinion the future of self-driving cars inevitably ends up with one of the big players buying uber to allow them to monetize their fleet.
This is similar to how the huge army of people stuffing DVDs into envelopes at Netflix is going away. It might be slow, but I don't think there will be tons of people watching DVDs from them in 2030... https://www.cnbc.com/2018/01/23/netflix-dvd-business-still-a...
You have to question the leadership of a company that's willing to throw untold billions and counting on a long-shot bet that they'll eventually have these magical cars and everything will be fine.
Once Uber can do it, soon afterwards everyone can, and what makes you think Uber will do it better when they've already had to give up so much to invent their own self-driving car solution?
Their business model is completely ridiculous.
We still have drivers on subway trains. When those drivers lose jobs to autonomy, maybe we can think about being on the cusp. Until then, I see it as a fantastic story that can be used to milk VCs for cash.
At <$4/hour, it's a better investment to automate a fast food restaurant like McDonald's or Burger King. They pay twice as much for labor. Pouring a coke and cooking burgers and fries should be a pretty straightforward challenge. They've already done Pizzas.
Also, subway systems are monopolies with strong drivers' unions. Subway managers have no strong financial incentive to reduce costs because the taxpayer foots the bill. In contrast, if Uber doesn't produce a driverless taxi service soon its management will be fired and will miss out on billions of dollars in bonuses.
I think we'll see driverless public taxis in Phoenix before we see driverless subway trains in New York. Self-driving trains are technically easier to develop, but self-driving cars will win thanks to the efficiencies of the free market.
In most cases the costs imposed by a wave of city-crippling strikes will far outstrip the minor cost gains from automating the rail line, so it only makes sense to actually automate and fire the drivers if the goal is actually political.
Subway drivers comprise a strong component of a country's labor power (because of their power to shut down critical infrastructure) and the alliances they typically hold with other unions and their political donations cement that. They don't just offset the power of the government they work under, they offset the power of executive/shareholder power in general.
Since labor and union power is largely what held income inequality in check until the 80s, the political goal behind crushing them is pretty clearly about increasing the wealth and income inequality chasm still further.
Would love to see actual evidence that this is true.
Here's another study (that actually cites the one you linked) covering the same time period and shows multiple other factors having greater impact. https://www.imf.org/external/pubs/ft/sdn/2015/sdn1513.pdf
"Technological progress and the resulting rise in the skill premium (positives for growth and productivity) and the decline of some labor market institutions have contributed to inequality in both advanced economies and EMDCs."
Emphasis mine.
That ^^^ was literally the first reason given in the article.
The second point it makes is about the role policy-making plays, which of course is probably as important, but is intimately connected to the presence or absence of union power because who the hell do you think lobbies for those policies?
Institutional support (donations, political support, control of voting blocs, policy research, etc.) behind those policies (e.g. raise minimum wage) comes from unions whereas the policies do the opposite (e.g. lower minimum wage) come from business lobbies and high net worth individuals - who have opposing interests.
> The second point it makes is about the role policy-making plays, which of course is probably as important, but is intimately connected to the presence or absence of union power because who the hell do you think lobbies for those policies?
Organized labor frequently advocate for policies that benefit their members at the expense of non-members (for example, licensing requirements) with ambiguous or detrimental affects on inequality. You use the example of minimum wage, but that's an ambiguous example too; we have some evidence that a high minimum wage actually decreases total low wage worker earnings[1], but a small increase (at least in the US) would probably be beneficial. To quote from the study I linked earlier
"Stronger labor market institutions could increase unemployment rates, reduce the wage differential between high skill and low-skill workers, and affect the labor share of income. The overall impact on income inequality, however, can be ambiguous: they increase unemployment, which tends to raise inequality, they can reduce wage dispersion, which tends to lower it, and they increase the wage share, which can have an ambiguous effect on inequality"
To be clear, it might be true that a decrease in labor power would be associated with policy that increases inequality but that's a non-obvious conclusion.
[1] https://evans.uw.edu/sites/default/files/NBER%20Working%20Pa...
The paper you linked was not studying that. It was not measuring the impact of union density on inequality whereas the study I linked to had a methodology for measuring the two, correlating them and teasing out a causal impact. Your paper was simply going over the various issues surrounding inequality and talking about them.
The other stuff you mentioned is a combination of wrong and not relevant to this topic.
Incidentally, that stuff about licensing requirements being "the bane of every worker's existence" that you read about can typically be traced back to lobby institutions that are linked to Charles and David Koch (e.g. CATO). They started publishing "research" and press releases about the onerousness of stuff like hairdresser regulation in the 90s and early 00s after some of the brothers' high profile fights with the EPA. Isn't it fun to learn where your propaganda comes from and why? :)
It has been in service since it was built for the 1986 World Expo.
Autonomous trains are not nearly as widespread as they could be, but this is not for technical reasons - it is for political reasons.
The new lines under construction (15, 16, 17 & 18, which will serve the greater Paris area) will also be fully automated.
The way it's configured it's basically an elevator.
Their venture into digital was ahead of the curb, allowing them to be even more successful and expand their business beyond distribution.
If the self-driving-taxi is right around the corner i guess that can save uber, but it's not like netflix was on a timer to like uber is to transition their business model.
And Uber...their whole point was being an annoying, even predatory middleman who shunt all their costs onto their "workforce"...you think they are going to thrive when they need to bear all the risk and expense themselves, as well as be unable to break laws?
It lowers the barrier for entry to pretty much anybody, with fleet manager taking care of car washes, interior clean-ups, refueling, parking at idle hours, ongoing maintenance and fixing occasional flat tires.
What part of Uber/Lyft business model makes them more sustainable when compared to Hertz, Avis, Budget, Alamo, Dollar, Fox Rent-a-car, ZipCar, Tesla Driving Network, any local car dealer with excess inventory, Ford- or Mercedes- or any other maker-branded service, or a small mom-and-pop operation with just a couple vehicles in their fleet?
So once either company successfully develops proprietary IP that enables fully autonomous cars they should have a clear road to profitably. They can use their existing relationships with fleet management companies to handle that part. And that is a mature industry, so the presence of a lot of capable competitors will keep costs down for Uber/Lyft. If they do need to do a bunch of hiring for new low-skill positions they can probably outsource it easily. I think the major winners will be tech companies and car makers. I don't think the fleet management industry will capture the majority of the profits, but they will probably get a minor portion.
If in the future they get their coveted monopoly, won't it be sweet when someone flouts the rules and undercuts them?
Like all things there's a learning curve before you can consistently turn a decent profit too.
Need a ride and you're in an obscure part of town? Welp too bad.
I use uberx to work, and pool home most days; I've used select once. I think I get a Mercedes C-class at least once a week, some of them looking pretty new. Oddly, I almost never see BMWs. I remember the other night I got in some giant four door American pickup that looked new and very expensive, but I don't know enough about trucks to recognize the model to verify that impression.
Still, the standard Prius is gonna be like $400/month on a 60 month loan, and that's just the loan. I imagine that there would be much value in the vehicle after those 60 months, if you drove full time in it, and I imagine the Prius has lower operating costs than most vehicles in it's class.
I do occasionally get tiny economy cars... but not very often, which seems weird, as if the major cost was the car, you'd think drivers would optimize for that by buying smaller cars, but that doesn't seem to be the case.
At least in my area, most of the vehicles have been 5+ year old Toyotas (almost entirely Camrys, and a Prius or two) that were likely purchased with over 100k miles on them. The nicest thing I was ever in was a new Honda Civic.
My impression is that the cost per mile on new cars is pretty good if you actually drive them for a few hundred thousand miles. The savings on used cars mostly comes in if you don't plan on driving enough to wear a new car out before getting your next car; otherwise transaction costs can be... significant.
You would either want a loan or a very high millage lease, both of which cost rather more.
But the interesting part is that I don't see so many of the smallest cars that would work for this, Even though while not that cheap, they are certainly cheaper than larger cars. I wonder why that is?
That is much simpler to calculate. Someone should do the math on that.
I'm not calculating depreciation, but that's dumb, since I used the car I had (for about 4 years prior), and continued using it about 2 years after.
My expenses were $400 a week, including car depreciation. I was leasing the car from Uber which is ridiculously expensive unless you do 60+ hours.
If you live with 8 other people and pay $500 month in rent, then you can make good money.
In cities that aren't SF or NYC it isn't worth it. In LA, it's 30% less income than in SF!
However, this is highly misleading simply because I was able to deduct fixed "business expenses" that I would have spent anyways to own a car. Insurance, parking, licensing, registration, and finance interest, were all things that I would have spent anyways in the exact same amounts even if I only drove the car for personal use.
In addition, cars are considered to depreciate 30% every year by the CRA (Canadian IRS). This is obviously nonsense; cars depreciate based on kms driven and I did not drive nearly enough kms to reach 30%. So this is not a real expense either, but one I can deduct nonetheless.
So, really, I was subsidizing my expensive car ownership tax-free. The real rate after adjusting for those fake "expenses" was around minimum wage which is fair considering it's a better job than flipping burgers.
I bought the car because I like driving and I like having a car, and I would have bought it anyways.
https://twitter.com/StephenZoepf/status/970754550968676352/p...
He also admits to using "donated" labor from students. $0 is even less than $3.37 ;)
I have always thought Uber drivers are either mispricing their vehicle cost, or doing some sort of tax optimisation.
If you have a nice car that you only drive a little bit on the weekend, so that most of the cost is in the fixed stuff (age based depreciation (a 5 years old Porsche with 0 mile is still 5 years old), insurance, parking etc), and the tax man let you allocate cost based on miles driven (I am not based in the US), then Uberring where you "try to get business" by driving up and down a highway would be great.
Of course, it’s obviously a terrible wage. Anecdotally, the drivers I’ve encountered were all doing it for extra side income and not as a main job.
Hidden costs:
1. Vehicle wear and tear (cars cost you money when you drive them)
2. Vehicle depreciation (cars cost you money even when you aren't driving them)
3. Interest and fees associated with auto loans and leases
4. Insurance premiums
5. Gas
6. Unexpected/unplanned for tax bills
But the feedback you're getting about your income is just the dollar figure that shows up in your account, which is vastly higher than the true amount you could reasonably keep as profit. It makes $10 feel like $100.
Combine that with the implicit bidding system. And by this I mean, market forces will naturally saturate Uber and Lyft with drivers until the price falls low enough that drivers won't accept it. And because of the factors I listed above, that natural price point is practically guaranteed to be well below minimum wage.
The whole setup is just beautifully engineered to trick poor people into thinking this can be a career. I've often thought about which is worse, this or Herbalife. I think Uber and Lyft might impact more people than Herbalife, and generally those people start with less, so I might give it to Uber and Lyft.
Actually, it's also a profession that has one of the highest rates of workplace fatalities, so I'd definitely give the title to Uber/Lyft over Herbalife.
Uber is partnered with a company that provides driver injury insurance for ~4c/mile.
And in order to even be eligible to become an Uber or Lyft driver, you first must navigate through that minefield of auto loans and auto leases and insurance companies. And Uber and Lyft is the opportunity that convinces you that it's a good idea to do that (more similarities to Herbalife).
I say all this as someone who uses Uber and Lyft almost every day. The drivers think I'm paying them to drive me somewhere, but what I'm actually doing is paying for them to take on the liabilities/debt/depreciation associated with owning a vehicle. That's where the value is for me, it has nothing to do with them driving.
https://www.uber.com/drive/insurance/
https://help.lyft.com/hc/en-us/articles/115013080548-Insuran...
https://www.uber.com/drive/insurance/
> While you’re online with Uber before you accept a request, you are covered by our insurance policy for your liability to a third party if you are in an accident when you’re at fault
[0] https://www.intact.ca/on/en/personal-insurance/vehicle/car/u...
If I'm remembering it right that sounds like a very reasonable price
I'm also covered for accidental damages caused by me outside of my car for up to 100 million € and that costs me only about 70€/year.
I’m sure some of this is due to the differences in our healthcare and legal systems. Ironically, it seems intuitive that Americans should have higher insurance limits than Germans, not the other way around.
When Uber Pop launched in Germany insurance companies were quick to publicly state that no driver using Uber is insured under their personal policies and they needed to opt into commercial policies that are multiple times more expensive.
Then Uber stepped forward and put out a big anouncemnt that every driver is insured for up to 1 million €. Everybody was like "yeah, okay, that's not nearly enough to be allowed to drive here in Germany". Nobody understood why Uber would make such a dumb statement. Now that you explained how it's handled in the US, I'm not surprised anymore.
People are recommended to have more than the minimum if they own a home, or otherwise have a lot of assets to protect.
Commercial requirements are much higher.
It works different in the states because the person or property being injured also has insurance, which will cover them. Insurance covers you not the person or property being injured.
So if you smash a building with your car, the property owner will collect from their insurance. That insurance company will then sue you, and your insurance will cover you. If you don't have enough insurance, they'll take what they can get, and if you don't have any property or money, they'll give up after that.
I just don't see how anyone could cause that much damage with their vehicle.
It's pretty easy to do so much damage. Imagine turning left without looking and an oncoming truck tries to avoid a collision and drives into a store front. Property damages will be very high and the injured people inside the store will need medical attention, too.
I back-exited a parking space and turned left immediately after, while the truck tried to avoid me by going in the incoming lane; if he just hit the breaks without swerving I would most like have been killed.
You just install the driver app on your personal phone.
With Uber and Lyft, once the self driving cars start working it will truly displace all the drivers. So perhaps they are just pawns in this endgame.
And a little humiliating. I’m old, and with drunk kids being a little condecending, plus seemed like my car smelled like booze for days!
But, how low it pays and it shocks me there are ALOT of people with free time willing to work for sub minimum wage.
Big picture tech/gamification has reached a point where oversight/legislation of some sort is long overdue. No restrictions + profit motive with our current understanding of human psychology and dopamine triggers is a recipe for a bad time.
A lot of drivers tell me often that as they close to hitting their number they get rides that are far away from where they are.
They then have to drive across town to pick the rider up and then drop the rider off at their destination ( which can be 15min to hours away).
The net effect is drivers rush during these promitions for quotas they usually don't hit.
Would not be surprised if Uber's algorithm started placing rides for drivers far away to avoid paying out promotions.
He also said "they're all from turnip town" which I thought was hilarious.
https://www.youtube.com/watch?v=FuKvUf7cr0s
And I still don't know what it means to be from turnip town.
That video has 300 views and is one of the weirdest things I've ever seen.
The implication was the drivers live in cheaper rural areas and come into the city on weekends to make money. Thus they don't know where they're going and are dependent on internet maps.
Back when I drove a cab, there actually was some skill to it - you had to keep all the streets and bars in your head and know the best routes.
Our survivor benefits in 1987 were ~2400. Our three bedroom apartment in San Diego was 700 a month. My mom managed to make us broke in 2 weeks and we were getting food boxes at the end of the month. She just went fucking bonkers whenever she had cash like it was our last day on earth. Tons of fast food, buying toilet paper at 7/11 instead of bulk at a large store.
30 years later she is even worse. She considers payday loans and her credit card unused balances income. It is fucking absurd. A few years ago I paid off all her stuff and said not to do it again. This ended exactly how you think it would.
I took the long way around to explain that people like my mom are so short-sighted that she will just see the balance and never consider the cost that was occurred for that balance.
But what I don't like is how Uber/Lyft market themselves into tricking poor people that this can be a worthwhile career, especially when all these hidden costs are not clearly communicated to drivers.
I think the solution relies in potential drivers becoming aware about these hidden costs.
> The paper reported the average driver profit to be $661 per month.
The posted $3.37 number is before taxes!
[1] PDF: http://ceepr.mit.edu/files/papers/2018-005-Brief.pdf
I'd guess 90% of the Uber/Lyft miles driven are done by 5% of the drivers.
The median driver is probably someone halfassing it like I did. Trying it occasionally for an hour or two, without much of a plan. Seeing what it's like.
Remember that the median driver drives very few rides.
The median ride is driven by someone who does it more or less for a living, and who makes a lot more money than this.
Also remember that this single fact was cherry picked from the report to make a good headline, not to give the best understanding of the situation as w hole.
revenue: $0.59/mile cost: $0.3/mile monthly profit: $661 Average fuel consumption is ~26.4 mpg so let's round to 25mpg Average fuel cost: $2.5/gallon Average number of working days/month: 21.75 Average number of weekend days/month: 8.65
0.59 * x - 0.3 * x = 661 0.29 * x = 661
x = 2279 miles
2279 miles/22 days = 103 miles. 2279 miles/8.65 days = 263 miles 2279 miles * 0.59 = $1344/month in income or $16128/year. 2279 miles * 0.3 = $683/month in expenses ($273/month in insurance, maintenance & repairs, $273/month in fuel, & $136/month in depreciation). . Average fuel price is $2.5.
2279 miles/25mpg = ~91 gallons. 91 gallons * 2.5 = 227/month in fuel.
Where it gets tricky is we don't have data on the average speed of an Uber driver & whether the 103 miles includes driving around waiting for rides. Let's assume a conservative average speed of 40mph.
103 miles/day / 40 mph = 2.5 hours/working day/month. 263 miles/day / 40 mph = 6.575 hours/weekend/month.
The faster you drive the less you work so if my average speed of 40mph is too conservative, then the average driver drives even less. It seems like this builds an average profile of a driver is one who picks up a rider or 2 on their way to/from their main job & then picks up some extra cash driving a bit on the weekend. The average driver probably doesn't consider Uber as their sole source of income but rather as extra income their making when they otherwise wouldn't be doing anything. Now of course that's probably less money per hour than they could pick up from picking up additional hours somewhere or even something like Task Rabbit. However the average Uber driver probably sees it as more reliable in terms of total revenue than Task Rabbit, it requires minimal effort, & it has extreme time flexibility that a second job wouldn't (just turn on the app whenever you want to make money).
Anecdotally the full time drivers I've asked in LA & the Bay Area told me they're pulling in 60-120k depending on how many hours they put in & the area they drive in. I didn't know this but apparently Uber & Lyft offer a lot of incentive programs that only the most active drivers can t take advantage of that significantly bumps your income (trips/day, trips/week, miles driven, etc). If you're not doing it full time then you're not getting these bonuses which is going to further impact your $/mile (of course I suspect the fares & costs are higher in these areas too). Since 40% of your cost is fuel consumption, drivers doing this full-time are going to prefer fuel-efficient, cheap cars than the average driver doing this on the side. This is obviously a more complete picture than the misleading news reporting might indicate.
*EDIT: As another comment pointed out, the cost numbers are artificially inflated. They're attributing to the entire cost of insurance to driving whereas from the model above the average driver already has a car. Thus they need to actually use the fractional increase in the more expensive insurance they need for the ride share vs what they would get otherwise. I suspect the same problem applies for depreciation where they're not using the fractional increase of depreciation cost due to driving more but just the overall vehicle depreciation which was going to happen anyway. Even the full time drivers probably would have bought vehicles anyway so the depreciation & insurance cost isn't reflective of that anyway.
TLDR: The main problem of the "study" can be summed up as follows: they take income from those who do it occasionally & subtract the costs of the ones who do it full time. Given the threat ride sharing poses to personal car ownership, it's not surprising such a misleading study is sponsored by people who would be impacted by reduced car ownership.
This type of "science" journalism is everything that is wrong with the intersection of media and research. Funding aside, the researchers are isolating a non-transparent, non-reproducible data finding, out of context, and feeding it to the press. On the other hand, the press is reporting this finding, and weighting believability upon credential, instead of reasoning. The head researcher of the article even lists his key credentials as follows: "..His work has been covered in numerous popular press articles..". Good, informative, transparent research? who cares, credentials are accumulating.
The output is statistical nonsense. Its a complete waste of time for anyone looking for real information, because the findings are not contextualized in any meaningful way. The article does not come close to offering apples-apples comparisons of other surveys that would give the reader a working understanding of the economic dynamic it talks about.
I'm so confident that the findings are meaningless because I used to own several businesses where I hired 100s of professional drivers. It would be easy to manufacture results like this $3.37 "median" finding. Many drivers in any given year start and quit with no idea of what the job entails or the economics, yes, even when you tell them explicitly up front. I've seen first-time drivers that want to use vehicles that get 12 mpg. Some drivers just shouldn't be drivers; they can't navigate, avoid traffic, or follow basic instructions. Many drivers aren't ready to treat the situation as a business with a profit and cost center - it's not trivial to quantify costs, and many people don't think that way at all. Also, some new drivers that might make good drivers, take some time to learn. They can take a while to work into a rotation and earn more lucrative rides. Also, many drivers take time to understand the principle that some times of day are busier and they will make more money during that time.
Context matters, a lot.
Also, I frequently ask Lyft / Uber drivers what they make. In many different cities. Its all about the same as I used to see in my businesses. It's not magic, the drivers who stick with it understand the system and make anywhere from nominally above minimum wage to maybe 3X minimum wage for the most capable and most opportunistic drivers.
The basic economics of professional contract drivers has been about the same for dozens of years. I'd speculate what might have changed, if anything, is that Lyft / Uber have normalized driving as a profession, and have strong brands that attract more people. Maybe that results in higher churn rates than the industry has ever seen. That would actually be really interesting if a university researched that trend and explained it through quality scientific journalism.
I feel journalists who are serious about presenting research findings will provide: 1) a complete and transparent understanding of the methodology of the findings, 2) impartial reviews from believable research peers, 3) a concrete and thorough description of the context of the finding. This seems like a minimum journalistic standard. It shouldn't be good enough to point to a dude associated with MIT and say "this dude says this thing so <press narrative>". If journalists rely upon credential, without reasoning, to assert truth, its just manipulation hiding behind assumed pedigree.
One driver was a PYT and recent immigrant driving a luxury Mercedes C class. Wasn't hers. Sugar daddy's? Something else?
Doesn't make sense. I feel there's something else going on.
Many will have a story about being hired to transfer a bag or a box. Drugs? Money? Guns? Even then there couldn't be enough business to make a good profit.
That number is obviously going to be controversial. How was it calculated? What assumptions were made? In their own article every single other source they reference provided higher numbers. How much higher? What were the exact reasons for the discrepancy? They did state that other studies showed higher earnings because "there are numerous ways to report income and to calculate costs and time and miles spent on the job." Why did this study report lower income, more miles, or higher costs?
I wish the job of journalism was still to inform people, and not just to get people to click on things.