When Is Insurance Worth It?
entropicthoughts.com
entropicthoughts.com
56% of Americans cannot cover a $1000 emergency expense. Insurance absolutely is a lifeline that most people need to avoid financial ruin.
Edit: My source for the 56%: https://www.cnbc.com/2022/01/19/56percent-of-americans-cant-...
Which downthread was pointed out that it was derived from this survey: https://www.bankrate.com/banking/savings/emergency-savings-r...
In reality, I get good health insurance through an employer. When I am employed.
$1000 is nothing compared to the expense of being insured.
I think this is true if you walk into an emergency room with a life-threatening illness; is this true if you start developing tooth problems, or diabetes? Can I walk into the ER with bad kidneys and get a round of dialysis on the house?
https://www.bankrate.com/banking/savings/savings-account-ave...
I'm not sure where you got that stat, but would like to know if it's reconcilable with bank account balances.
Every year all the outlets breathlessly report on how many Americans can't afford a $1000 expense, but this is a disingenuous reading of the data.
The actual question asked is:
"Which of the following best describes how you would deal with a major unexpected expense, such as $1,000 for an emergency room visit or car repair?"
And the number reported (which is usually above 50%) is derived from everyone who didn't respond:
"Pay the cost from your savings"
[0]: https://www.bankrate.com/banking/savings/emergency-savings-r...
Taking out an unsecured loan isn’t it.
But the way the question is worded leaves a lot of fuzzy room around the edges.
For instance, a financially illiterate person may elect to put it on credit despite having enough liquid wealth not to need to (to get the airline points perhaps?)
A shrewd investor may be able to cover it with a personal loan or by borrowing from family with a favorable rate that is lower than the expected return on their investments.
The question asks which best describes what you would do in an emergency and only invokes $1000 as an arbitrary example. Some respondents may simply be confused or pedantic in their response.
Additional bias can be injected when this number is re-reported by third parties, I've seen it reported as "X% of Americans..."
"...Don't have $1000"
"...Can't afford $1000 expense"
"...Don't have $1000 in savings"
"...Couldn't come up with $1000 in an emergency"
And several other hyperbolic variations.
44% Pay the cost from your savings
21% Finance with a credit card and pay it off over time
16% Reduce your spending onother things
10% Borrow from family or friends
4% Take out a personal loan
5% Something elsethat question only exists for certain types of accounts. On page 13, compare
>Have any checking accounts? (up to 6) > ... >Amount in account
with
>Have any IRA/Keogh accounts?
>For each person ask:
>Amount in each type
Note the lack of "each" in the former.
Moreover, on the main page[1] it's explicitly stated that figures are per-family, not per account.
>For each variable and classification group, the charts show the percent of families in the group who have the item and the median and mean amounts of holdings for those who have any.
It's further stated that 98.6% of families have "transaction accounts", so the effect of excluding people without transaction accounts is minimal.
[1] https://www.federalreserve.gov/econres/scf-documentation.htm...
The documentation you’re looking at refers to one specific data visualization. Transaction accounts are not savings accounts. Give it a rest.
First, the original topic of this conversation was:
"The median bank account balance is $8000:"
The linked bankrate.com article mentions "savings accounts" in the title, and the subsequent reply also uses that term. However, the bankrate.com article body clarifies it's actually talking about "transaction accounts" as defined by the SCF, not just "savings accounts".
"The median transaction account balance is $8,000, according to the Federal Reserve’s Survey of Consumer Finances (SCF), with the most recently published data from 2022. Transaction accounts include savings, checking, money market and call accounts, as well as prepaid debit cards."
Yes, there's some loose definitions being used and conflation going on, but when it comes to the question of "can Americans cover a $1000 emergency expense?", it doesn't materially impair the "$8000 median account balance" argument.
Second, "one specific data visualization" you talk about is the source of the $8000 figure. If you select "transaction accounts" in the dropdown, you'll see the latest figure is $8.0 (in thousands of dollars).
https://www.federalreserve.gov/econres/scf/dataviz/scf/chart...
Third, on the topic of "parsing the phrasing beyond any rational meaning or common sense", I actually can't find any place on the fed's site that suggests that the figures (eg. the $8k figure) are per-account. For instance the above chart has a title of "Transaction accounts by all families", which at best is ambiguous as to whether it's per family or per account. It seems like someone just made the suggestion and others took it at face value.
If you can't muster $1000, then you are in financial ruin. Insurance is pointless for these people.
For a couple weeks, I was worried about my health insurance for next year through my state's marketplace and I was considering whether it would be worth the unsubsidized price of $350-450 per month. Ultimately, I don't have enough information about my risks to feel comfortable with my analysis. While it would be mentally soothing to use the calculator, it's not really helpful.
I'm also curious what's going on with insurance prices this year. The health insurance premiums this year are 33% more and just today I got my home insurance renewal asking for 25% more with the exact same coverage amounts. Did something happen to justify these increases?
Climate change.
https://www.nytimes.com/interactive/2024/12/18/climate/insur...
https://www.nytimes.com/interactive/2024/05/13/climate/insur...
https://www.nytimes.com/interactive/2024/05/13/climate/home-...
Behind the scenes much of this tighening of available capital happened more than a year ago but it's being passed on to consumers only now. Nothing in particular has happened this year -- it was fairly ordinary in terms of catastrophies.
Neat. What about people who don't have accumulated wealth?
> In a concrete example, let’s say that our household wealth is $25,000, and we’ve just gotten a motorcycle with some miles on it already.
> Assuming no deductible, would this be worth it? Yes!
> If our wealth had been $32,000 instead, the insurance would no longer have been worth it
This is way too simple. If you're rich then you stand to lose more in many situations, and may be deemed a lower risk so insurance is cheaper. If you're in reasonably good health and on the verge of being evicted if you miss a paycheck, paying hundreds per month for health insurance to head off unlikely risks is a bad idea. Probability is supposed to account for this but you might know that you're not getting pregnant or having expensive surgery, for example. An insurance company cannot assume such a thing. So they are obligated to charge you way more than you can ever get back. It is also relevant that if you miss insurance payments, you will lose coverage.
Another wrench in this methodology is that some costs are not purely financial. What price do you put on the risk of dying from a lack of treatment? Is that risk higher than the risk of ending up destitute and uninsured anyway?
> It's complete nonsense to make up a number like oh my car has a 33% chance of developing a big fault this year out of thin air
Are you claiming regular people cannot learn to make calibrated probability judgments and/or look up car failure rates? Maybe that is the problem with the Kelky-based framework: it requires forecasting a probability distribution and many people are not great at that, although they could learn it.
Since it wasn't clear from your comment, what alternative framework are you proposing for the insurance decision?
...but it does do that under the assumption of compounding, and that's part of why it exists. I recommend learning about the Kelly criterion and E log X strategies to see why.
The key insight is we shouldn't look at the arithmetic expectation of profits of isolated bets beccause that causes us to overinvest in uncertain profits and underinvest in insurance.
I think I really can sometimes tell if I’m riskier or safer than the average person. I can observe other people’s behavior and compare it to mine. But even then, my impressions will be subject to a lot of biases (eg. everyone thinks they are an above-average driver).
If I assume the insurance company has done the math so they make a decent margin, and if I’m confident I’m a better or worse risk, it’s possible I can use that reasoning to guess whether insurance is a good value for me.
You're not against the insurance company. Your decision is relatively separate from theirs.
Given I’m unable to produce the probabilities necessary to compute the Kelly criterion, I can’t use that to make the decision. Instead, I have to use dumb heuristics like “I need liability insurance to get rid of my risk of ruin” or “I can easily afford to replace my car, but my passion is parking underneath dead trees during storms, so I should pay for comprehensive coverage.”
In either case I have no idea how to compute the probabilities, but I’m still pretty sure I made the right decision.
The value of insurance to the buyer depends on the buyer's wealth. The insurance the electronics store offers on the tablet I buy is well-priced for their target audience but not for someone with my emergency expense buffer.
Could work! I don't know how, though.
When I feasibility tested by asking my wife to guesstimate a couple of these she ended up very close to official statistics. The first-level trick she used is Fermi estimation.
You can totally do it and it's worth practicing. There are even competitions in it open for anyone! I like the Quarterly Cup at Metaculus. The next iteration starts early January.
This I don't understand, maybe someone help me out? Say the real growth rate of capital (or interest rate available to me, whatever) is 2%/year and I have a 10 year time horizon. So $1.00 today is ~$1.22 in 10 years. More generally, if I have wealth X today I will have 1.22X in 10 years. And if X is not a constant but a random variable and I want to maximize future expected wealth (not log wealth), that's just max(E[1.22X]) and by linearity of expectation I should just maximize wealth today to maximize in 10 years time.
So Kelly being appropriate must have some other conditions, right? Wanting to maximize log wealth is surely sufficient (and individually probably ~rational). What else?
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in general i don't like when someone else tries to tell me how i should be using a product i buy, and that includes insurance.
You shouldn't make yourself miserable thinking about advice you don't like. Just ignore it.