😂

Thanks! That helps.

Reflux is the reflexive action of the detrusor muscle inside the bladder, which contracts for a brief period of time to help return previously ejaculated seminal fluid to the bladder. This causes a split when you try to pee after, as the seminal fluid and urine fight for passage out of the bladder simultaneously.

Source: Have ejaculated then peed.

> a pint is a pound the whole world around

> US pints not the UK

So that was a fucking lie.

Good answer!

There's a big saliva gland near your jaw called the "parotid gland" and it can respond in a super strong and unpleasant way when you taste certain things, especially alcohol, sugar, or acid. The sucrose and tartaric acid in sweets are both major triggers, as are the tannins and ethanol in wine.

When that salivation happens it can be a sharp pain; for me it's a bit like a small muscle cramp.

Make sure you stay hydrated and try to have some food before eating or drinking things that cause the pain. Dehydration gives you a dry mouth and the parotid gland also has to work harder to produce the saliva you need, and if you're hungry and thirsty your body will also produce more saliva leading to more sharp pain.

As always with medical stuff, you should see your GP if you're concerned.

On the other hand, having significant amounts of cash transactions makes it much easier to launder money from your criminal enterprises!

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Usually if there’s a blockage or if the urethra opening is stuck partially closed. For men, this is common after ejaculating as there can be some semen left behind that needs to work it’s way out, or the skin in the tip gets stick or dry and sticks to itself.

If they move to the side and the stream hits their face at an angle, usually it splits. Something about geometry I think

How do they get the egg without breaking it?

While a round trip can take nearly a minute, your foot is at one extreme. It's only path available is back towards your core so it does happen within a couple of seconds.

The effect happens similar to a coolant line with a radiator. Your foot expels a lot of heat quickly because of the temperature difference, cooling the blood off. That now cool blood travels back up to your core, immediately absorbing heat from your much warmer core area. So what happens to your foot, the reverse happens in your core with the same blood.

The greater the difference in temp at your foot, the faster it expels heat, the cooler the blood, the faster it absorbs heat from your core once it gets back up there.

So you don't need to wait for the blood in your core to reach your foot to feel cooler. You just need cooler blood to enter your core.

Short explanation: liter is a measure of volume, the amount of space filled

I Lt of mercury weighs much more than 1 Lt of water even though they occupy same amount of space.

1 lt of water, for example, weighs more than 1 lt of cooking oil.

Conversely... 1 Kg of water occupies LESS space than 1 Kg of cooking oil but 1 Kg of mercury occupies much less space than 1 Kg of water.

ELI5

Capital One is a bank (technically a "bank holding company")

Its A Wonderful Life has a nice bit on this.

Banks get money for loans from a couple of sources, but one of the primary sources is their account holders. When you deposit say $1,000 with the bank they don't take that cash and stuff it into a safe being kept there until you come back to pull it back out. They mark that you deposited $1,000 and then loan that money to another customer so they can earn a return on the interest. Banks rely on the idea that the majority of their customers will not come to withdraw all of their assets in a short time frame. They don't have enough money to repay all the money in their customers accounts. It's been loaned out or invested in other financial products. If too many people try to withdraw too much it can trigger a run on the bank as people panic and try to get their money out before the bank runs out of money to hand back.

In the U.S. there is a government protection for the majority of the populace against losing money due to a bank run. It's the FDIC (Federal Deposit Insurance Corporation). This protects up to $250k in each type of financial deposit category covered. So if an FDIC covered bank fails and you had $80k in savings there you won't lose your $80k.

Another source of funds is the Federal Reserve (in the U.S.). This is the bank that literally creates $$ and loans it to other banks. The cost of these loans affects almost all other loans down the chain. The Fed increasing its loan rates is one reason why mortgage rates and other loan rates have been rising over the last year-ish.

> All credit cards are backed by a bank. Look at your credit card, it will say something like "Issued by XYZ bank" on the back somewhere

I have a Capital One card, it says nothing about being issued by bank. Are you not simply talking about debit cards?

That’s great, thank you very much

If you read the examples given, you can see this is the wrong definition for this context.

Besides charging interest on late payments, cash advances, etc., credit card companies / networks make money by charging the store/merchant a fee (usually a mix of a % and a fixed fee, something like 2.5% + 15¢); this is one reason as to why they can offer cash back/miles as rewards. Debit cards also have a fee, but a bit less.

This is also why American Express isn’t accepted everywhere, as they charge a higher fee.

One of my teachers used to say a pint is a pound the whole world around. US pints not the UK 20oz

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Hello, AI researcher here!

We borrow the term "prior" or "prior probability" from Bayesian statistics, and in simple language you can think of a "prior" as being "what we believed before we saw the evidence". Prior just means "former" or "before" in Latin. After we see some evidence we update our beliefs, and that becomes our new "prior" for any further reasoning. We use a calculation called Bayes Rule to find our current belief (posterior probability) from our previous belief (prior probability) and some evidence.

The least informative prior, and also the default if we have no information at all, is "I know nothing". If you know nothing about the probability of some event occurring then you regard all outcomes as equally likely. For example, when I roll a fair die I am completely ignorant about the outcome, so my prior is that any outcome has a probability of 1/6.

I can say I have a more informative prior when I know something about the probability of an outcome. If I want the probability of it raining tomorrow, I could say "I know nothing", or I could think about it and actually, the weather today is probably similar to the weather tomorrow, and it was sunny today, so actually my prior is that it's a bit more likely than not to be sunny tomorrow - let's say 65% or so.

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Your first example is saying that it's silly to spend effort finding a good prior and then forgetting to take into account the actual evidence. For example, if i want to know if it will rain today, it is silly to think about yesterday's weather and forget to just look out the window.

Your second example is talking about how "extreme" a prior is. In Bayesian calculations, if you believe a probability is at 100% or 0% then there is no mathematical way to change it. This is an extreme prior. The more confident you are something will or won't happen, the harder it is to change your mind. The example, then, is saying that it is strange to talk about a "high-uncertainty" prior (one which is nearer to the "I know nothing" default position) as being extreme - without context I cannot tell you why they are saying that.

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Any middle school algebra textbook I guess. The gravitation equation is thankfully very simple.