What people also seem to get wrong is not understanding that as you progress along a run of losses, reaching 10 losses in a row becomes more likely, not less
This is not what you say now
This is exactly what I am saying now:
The probability of a series of flips all being heads becomes greater as you work along the series, because there are fewer flips left to make.
But it is as wrong to assume that these chances become less likely (the opposite of more likely) for the whole streak of 10 losses in a row.
No, it isn't. The chance of any single flip being heads is exactly the same as any other single flip being heads, but the chance of all 10 flips eing heads becomes more likely as you progress through the series with all previous flips being head.
I am not wrong here, so I would suggest instead of arguing against me you try to find out where your misunderstanding is. As I stated above, it's a common misconception. This is called Kolmogorov-type conditional probability, if you want to look it up. If there are two possible events, called A and B, then the conditional probability of A given B, (i.e. the probability of A occurring if B also occurs), is given by the following equation:
P(A|B) = P(A∩B)/P(B)
P(A|B) is the conditional probability of A occurring given B occurring
P(A∩B) is the probability both A and B occur
P(B) is the non-zero probability of B occurring
Lets take A to mean "flipping 10 heads in a row".
Lets take B to mean "flipping 5 heads in a row".
P(A) is therefore 1/1024.
P(B) is therefore 1/32.
As P(A∩B) is the probability of both happening, this therefore becomes the same as the P(A) (the probability of A alone), because to flip 10 heads in a row, then you must already have flipped 5 heads in row.
P(A|B) therefore becomes P(A)/P(B). P(A) is 1/1024, and P(B) is 1/32. P(A|B) therefore becomes (1/1024)/(1/32), which is 1/32.
So, although the chance of flipping 10 heads in a row is 1/1024, if you have already flipped 5 heads, then your chance of reaching a run of 10 heads in a row is now only 1/32.