The USDA just wants to prevent wide-spread food borne illnesses that are easily preventable. Hence why the small scale experiments where someone eats chicken only cooked to 155 turn out successful all the time.
Note that this isn't to discredit what you're saying. I just wanted to point out that there's more to the guidelines than the parroted parts.
I agree with this. But the reason that "many misunderstand what the food safety guidelines are" is because of how they're worded. They're worded as if, if you don't follow them then you will definitely get in trouble.
The intention of the rules is that they be easy to understand, easy to follow, and you won't be in danger if you mess up a little bit.
Furthermore, it provides you a margin of safety. 165 for chicken is going to be pretty dry for white meat, but I'd choose that over medium rare!
If the guidelines occupied a poster-size tree it would be much more difficult to follow them and the consequences would be much more severe.
I also make it a point never to take food safety advice from anyone who doesn't know the difference between "sanitized" and "sterilized".
Advice to huge numbers of people skews the odds of "this is probably fine", which I think is the root of this. Aside from the fact that quantifying just how many zeros are in front of that probability hasn't (can't?) be done. It probably _is_ reasonable to estimate based on prior science that if 300,000,000 people leave pizza out a few times a year, there's a one in a billion chance of warm cheese making someone super sick.
I also wonder how much lawsuit culture plays a part in this, it only takes one bad luck case.
If by “cold overnight” you mean unrefrigerated, I doubt that anything like 1/3 are.
https://www.fda.gov/food/consumers/what-you-need-know-about-...
If anything, there should be more lawsuits against companies and they should be punished punitively.
I'm going to guess this is wrong. I went to a large private university of around thirty thousand. I'd estimate, on any given week, the average student has eaten leftover pizza in the morning once. This alone puts us at a hundred and twenty thousand overnight pizzas consumed per month. Millions per year. At just one university! Surely we'd hear cautionary tales of overnight pizza at 1 in 100k or even 1 in a million, as deaths from it would be far more common than binge drinking.
My estimates may be off a bit, but probably not by as much as you'd think. Student organizations buy copious amounts of pizza because it's popular and cheap.
A 10% chance of something bad happening could be an acceptable risk or not, depending on how bad the bad outcome is. Is it death? In that case, 10% is way too high... eat that old pizza seven times, and you already have a greater than 50% chance of being dead from food poisoning.
This is the problem with using personal experience for low probability/high cost events. Drunk driving is like this; I know too many people who say “drunk driving isn’t dangerous! I’ve driven drunk dozens of times and have never had anything bad happen!”
Most of the time you are fine, but the extreme cost of what happens when you aren’t make it a risk that should not be taken.
We're also talking about two different things here, one being the scientific method, the other being risk analysis. Output from the former can be an input to the latter but they're otherwise orthogonal.
On the subject of risk, I don't think the drunk-driving comparison holds because the numbers are completely different. We can point to innumerable cases of drunk-driving resulting in death. But day-old pizza? I'll be surprised if you can find (just picking a number out of my hat here) even ten cases of day-old pizza killing anyone.
The best is when someone tells you that 100 scientists agree on it, so it must be true, but it turns out that a few claimed it and a bunch of other scientists back them up without actually doing any science.
Don't even get me started on all the fraud we've been seeing lately in scientific journals.
I no longer really fault people that don't believe what a scientist tells them. The ones that make the news are the least trustworthy and usually have some bias towards what they're saying.
If I didn't understand science as well as I do, I'd be tempted to join them in disbelief.
Im not looking to get into an argument, so I'm going to be short. These 100 scientists' opinions are based on a lot of collective years practicing as a scientist and everything that it entails, so them agreeing with a scientific fact has a _lot_ more weight behind it than >people that don't believe what a scientist tells them.
It is not. It is evidence-based, and experiment-based, but this is not enough for it to be scientific. For that, it also needs to fit with previous experimental data, and not contradict an existing scientific model (expanding on it and replacing it with a more general model is fine).
You can say the experts in this case are being overly cautious, but there's no denying that
>If a perishable food (such as meat or poultry) has been left out at room temperature overnight (more than two hours) it may not be safe.
This is a fact, as established by scientific studies. The problem is the danger 'threshold' that leads one to behave in accordance with the drawn conclusion:
>Discard it, even though it may look and smell good. Never taste a food to see if it is spoiled. Use a food thermometer to verify temperatures. Never leave food in the Danger Zone over two hours; one hour if outside temperature is above 90 °F.
It's also an incredibly weak claim. It makes an extremely qualified statement about a very broad set of things.
You could just as easily say "any object left on the kitchen counter overnight may poison you" and that would be true even if the incidence of poisoning by recipe card in kitchens is approximately zero. Let alone the meat products that literally exist to be stored in the open.
Something loosely deriving from scientific studies is no more 'science' just for that fact than something deriving from uncontrolled empirical evidence is. In this case the statement is so obvious as to be kind of useless for prediction.
it lowers the barrier of entry to science. anyone can do science. it should be easy and accessible. don't let good be the enemy of perfect. not everything has to be done by academics in lab coats—anyone can participate. I think it's important to keep the scientific process open and understandable to everyone.
https://www.tested.com/making/557288-origin-only-difference-...
Except that the article posits one specific type of pizza where only really the tomato sauce and cheese could cause a problem.
Sure, if you get your standard pizza from Domino's with tomato sauce with preservative and synthe-cheese, it will probably stay edible for decades.
However, did you get fresh mozzarella on that pizza? Or did you order chicken?
Or, did you order something with ranch dressing which has both cream and mayonnaise? Room temperature mayonnaise (generally in picnic potato and macaroni salad) is one of the classic food poisoning sources.
There is a lot of variance here.
Is that a statistically valid sample?
Let's say the "chance of an Adverse Event" is 0.000001%; literally 1 in a million. There are about 330,000,000 people in the US, all eating leftover, unrefrigerated pizza every morning. That means roughly 330 people get sick every day. If I've got the numbers right, ~0.3% of those who get sick are hospitalized. That is about 0.88/day, or ~6/week. 2.3% of those die, or about 7/year. Sounds perfectly acceptable to me (although those numbers are based on the current USDA regime, not the "try it a few times and if you don't die, you're good to go" approach).
"quick, dirty, wrong calculation because the exact value doesn't matter here"
It kinda does.
I'm going to strenuously disagree with this one.
"I've done it 10 times and it has been fine for me" is the logic behind the normalization of deviance and the Shuttle disasters and (in my world) cave diving fatalities:
https://www.youtube.com/watch?v=Ljzj9Msli5o
As a cave diver I also see this leading to fatalities where divers cut corners on the rules of cave diving, see no immediate consequences and continue to do so up until they wind up dead some day (there are often very binary outcomes for breaking the rules in cave diving).
The author of this article does provide a fairly compelling science-based _hypothesis_ though as to why eating-8-hour-cold-pizza is safe though that goes beyond his personal experience. He does argue that the N is actually very large due to reasonable assumption that many college students do this and there is no evidence of a plague of college students in ERs. He also argues that pizza specifically should be pretty safe after 8 hours due to most of it being composed of things with longer shelf lives and tomato sauce having a low pH.
That is still mostly all the kinds of rationalization that NASA did though. So those should be at least somewhat scientifically tested. A simple survey of college students could determine their practices of how often they ate morning-after pizza that had been left out, along with surveying hospitals and ERs. Then you could lab test actual cold pizzas. That would provide some better scientific basis rather than anecdote and gut checks.
We all expect that if you did this that you'd find that it was substantially more safe than the expert guidelines suggest for those reasons.
HOWEVER leaping all the way to "I did it 10 times and it didn't hurt me" is precisely how cave divers wind up dead. That isn't scientific at all.
And in fact this article suggests a broader connection to the normalization of deviance. There are times where you can get away with it over and over again and nothing bad happens. Many other people can do so as well, because it (presumably) turns out that expert guidance in this case is way too overcautious and dont-sue-me-generalized. What this reinforces is that the normalization of deviance doesn't have any consequences because you can get away with it. And you rationalize using anecdotes as scientific evidence as you just did. That builds confidence to do it in other ways. Then one day you're in charge of the shuttle program or go cave diving and you find out why anecdotes actually aren't scientific the hard way.
That does suggest why those kinds of rule are bad though. Because you find some rule like this and build up a tolerance to breaking it over and over and over again and getting away with it. Then you wind up making a category error at some point in the future and applying that logic to some other rule where you can't do that.
To put it another way, your sample size for the test case of seatbelt value, i.e. an accident, appears to be zero rather than large as stated originally.
In fact the "hick" position is the scientific one. If someone eats unrefrigerated pizza ten times without any Adverse Events, then in fact that's an experiment providing (admittedly crude) scientific data that, in fact, the chance of an Adverse Event is no worse than ~10%. (Pedant note: quick, dirty, wrong calculation because the exact value doesn't matter here.)
Science, the process, really does work. Even if many of those who practice it don't look like TV or press release scientists. And even if many "Real Scientists" aren't really anything of the sort.