Coin Flips Reveal Pi?!
46sA new math discovery: flipping a coin until heads outnumbers tails gives pi/4, a surprising connection.
▶ Play ClipEight years ago, the creator flipped a coin 10,000 times to study how often it lands on its edge. Recently, a new mathematical discovery revealed that if you flip a coin until you have more heads than tails, the average ratio of heads to total flips converges to π/4. This video uses that fact to calculate π from the old coin-flipping data, explaining the math behind it and showing the Python code used to process the results.
The video is about a new mathematical fact: if you flip a coin until there are more heads than tails, the average ratio of heads to total flips is π/4.
The creator flipped a coin 10,000 times eight years ago to study edge landings, and now uses that data to calculate π.
The range of possible average ratios is between 0.5 and 1, which narrows π to between 2 and 4.
The number of valid sequences of a given length is given by Catalan numbers.
The series from the coin-flipping process matches the Taylor expansion of arcsin(1), which equals π/2, leading to the average ratio being π/4.
The coin landed on its edge 14 times out of 10,000 flips.
The Python code processes the data, calculates the average ratio, and multiplies by 4 to get π.
The calculated value of π from the data is 3.2266.
"The title is accurate: the video does calculate pi from coin flips, and the 'without randomness' refers to using a deterministic series derived from the flips, not random sampling."
What is the average ratio of heads to total flips when you flip a coin until there are more heads than tails?
π/4
2:04
What sequence of numbers counts the number of valid head/tail sequences of a given length in this coin-flipping problem?
Catalan numbers
8:33
What is the value of arcsin(1) in radians?
arcsin(1) = π/2
13:20
How many times did the coin land on its edge in the 10,000 flips?
14 times
16:07
What value of pi was calculated from the 10,000 coin flips?
3.2266
21:24
Who discovered the mathematical fact linking coin flips to π/4?
James Propp
14:22
What is the range of possible average ratios of heads to total flips in this coin-flipping game?
0.5 to 1
3:54
What is the formula for the nth Catalan number?
1/(n+1) * (2n choose n)
11:39
What mathematical structure appears when you draw a tree diagram of the coin-flipping paths?
Pascal's triangle
10:19
Why did the calculated pi value (3.2266) differ from the true value (3.14159...)?
It converges slowly.
21:28
Pi/4 from coin flips
Reveals a surprising connection between a simple coin-flipping game and the constant π.
2:04Catalan numbers appear
Shows how a well-known combinatorial sequence naturally arises in this probability problem.
8:33Arcsin series matches
Demonstrates the key mathematical step linking the coin-flipping series to π via the arcsin function.
13:2014 edge landings
Provides a concrete data point from the original experiment, showing the rarity of edge landings.
16:07Calculated pi = 3.2266
Shows the practical outcome of applying the theory to real data, highlighting slow convergence.
21:24[00:08] [music]
[00:08] Eight years ago, a younger version
[00:13] 10,000 times. If you're wondering
[00:18] look, we don't welcome those sorts of questions
[00:23] how often it would land on its edge. And later on,
[00:31] it landed on its edge if you want to see if you
[00:35] and I have a ridiculous joke collaboration we
[00:41] That'll be right at the end of the video. See if
[00:46] we're going to speed forward 8 years to
[00:52] That's because of Pi Day. Yes, a few years ago I
[00:57] was thinking, but I've finally come up with a use
[01:02] So, hey, happy Pi Day 2026. Although, shouldn't
[01:07] Spoiler. This is not a video about that.
[01:13] about flipping Thank you. a coin to see
[01:28] Yes. Late last year, a new bit of math
[01:33] keep track of if it's heads or tails, and you
[01:39] And let's say you do that over and over. And
[01:43] I stop whenever there are more heads than tails,
[01:48] where I compare the number of heads to the
[01:51] more heads than tails, but how many more? And if
[01:59] turns out, and yes, this is why it's a Pi
[02:04] It's pi. It's pi on four. If you flip a coin until
[02:14] on four. So that's what we're going to do. This
[02:19] coin flips, which has actually come together quite
[02:24] us calculating pi on the moon. You may have seen
[02:29] Sadly, like a lot of space missions, it's been
[02:33] Pi Day hopefully. Previously, previously,
[02:39] I was going to try and break the record. Turns out
[02:42] that's also delayed, but will happen. link in the
[02:47] So, what I'm going to do is basically go back to
[02:51] but this time instead of doing long tedious
[02:56] a coin 10,000 times by hand. And from that, we
[03:05] no one noticed that you get this value of pi on
[03:12] And so I'm like, well, this is great. Breaking
[03:16] to explain why you get pi when you flip a coin.
[03:23] Let's do it. Right. I'm going to use these to
[03:27] can kind of arrange them across here.
[03:31] we've got a pretty tight range on what the average
[03:37] boom, straight out of the gate, you flip a heads.
[03:42] and it's 100% 100% heads. It's the highest
[03:48] thousands of flips before eventually we have
[03:54] it will have just because there's so many just
[04:02] Because we're calculating pi on four,
[04:07] to between two and four, which you know, compared
[04:16] Now, what if we didn't get head straight
[04:20] Well, now we're going to have to keep going.
[04:24] three flips. It can't be two because
[04:30] right? And but now it's 50/50. Has to be more
[04:37] another heads. So now that's the Whoops. Shortest
[04:46] And that's a well, I guess that's a a half time a
[04:52] of happening. And the ratio is two out of three.
[04:59] The next shortest would be five flips. So
[05:04] that would have to be tails there. Okay. And then
[05:12] right? Cuz we need to get it needs to be three
[05:17] So it would look like that. There it is. Okay.
[05:22] we flip this heads. And that's the one that
[05:26] probability of this sequence happening half times
[05:31] five. We can add that in and the ratio is 3 out of
[05:38] Yeah, this one works. But so does so is this
[05:45] That's five long and would end at the same
[05:51] I'll pick that up later. There's I can replace
[05:57] for each run of coins, we need the probability, we
[06:04] are. So we multiply this one by two. Let's have
[06:12] and we're going to think about what sequences
[06:16] by end, it means that has to be us flipping a
[06:21] more heads than tails and we stop. And at no point
[06:26] otherwise we would have stopped including the very
[06:30] would have stopped on the heads. The second one
[06:35] Let's start by the case where we flip three tails
[06:41] heads come slamming back and they get it right at
[06:49] which this one means we've got more heads and
[06:55] this third tails here, that could happen later.
[07:00] was a tails. That would work nicely. We can move
[07:05] move it down again. That could be uh heads. That
[07:12] because if this was heads and that was tails,
[07:18] at that. Two tails, three heads, we would have
[07:23] So, now we're up to uh three alto together. Now,
[07:30] Now, if that's a heads, this one can't
[07:34] heads than tails. It's got to be tails like
[07:39] And then these can go either way. This is either
[07:45] Both of those work. You can't delay it any
[07:50] pause and go through that yourself, you're very
[07:55] which I'm pointing down here because I've still
[07:58] the other night, and I got all these sketches
[08:04] get in the sequence of heads and tails and tails
[08:09] and I was right." So, I was able to fill that into
[08:15] nine. There's 14 ways to do it. I didn't bother
[08:26] the online encyclopedia of integer sequences and
[08:33] And I was like, turns out I do. So why the
[08:40] I then drew a diagram which I'm going to recreate
[08:45] where I thought, you know what? Let's represent on
[08:51] down. If you get a heads, you go up. I had to roll
[08:57] And the goal is to end up above water. Very
[09:03] and then if your first flip is a heads, you're
[09:10] you're down here. To clarify, when
[09:15] once we're one above this blue line. Because
[09:21] being one above our starting point means we've
[09:27] expanded the tree diagram because the next
[09:32] This one would bring you even further below the
[09:37] heads. And there's only one way that that's
[09:42] but there are multiple ways. If you go up here
[09:51] then if you count that, you're like, "Oh, actually
[09:53] way down and all the way back and out or down, up,
[09:59] this diagram of all the ways you can flip
[10:06] up and all the times that you break the
[10:11] count the number of paths. Ah, you know what this
[10:19] it's Pascal's freaking triangle. If you'd like
[10:23] Catalan numbers, my friend Sophie Mlan already
[10:28] highly recommend you check that out. And it works
[10:33] counting the number of ways you can get to any
[10:37] to normally cross over in the middle. Ah, it's
[10:43] But for our purposes, we're just going to
[10:46] the number of possible head or tail sequences.
[10:52] So we can take our table from before and put it
[10:58] n equals 0. The zeroth Catalan number which is
[11:05] And the formula in general is going
[11:12] multiplied by the nth Catalan number multiplied
[11:21] the table. But now you put in whatever value of
[11:26] we want to sum these from n equals z up infinitely
[11:35] I wrote down here last night. You can see there
[11:39] and over here next to it, I've written the formula
[11:46] by 2 n choose n. And you can put that in terms
[11:53] And now we have one big chunky equation that
[12:01] all the way up. We just got to work out how we
[12:09] kind of substitution or a way to rearrange
[12:17] It's arc sign. It's the inverse
[12:23] as a series. Look at that. Isn't that amazing? I
[12:29] everything from first principles. It'll be a very
[12:34] boring video. So at some point you've just got to
[12:40] series expansion of aride. If you want to look
[12:45] binomials and once again Pascal's triangle. Lovely
[12:52] I'm saying is doesn't that look similar? In fact,
[12:59] one. Just put that in. Why not? And that means the
[13:05] looks pretty much exactly like what we had before.
[13:14] whatever the average ratio of heads to tails is
[13:20] sign of one? The inverse sign of one. What value
[13:27] It's pi on 2. So pi on 2 equals twice the average.
[13:35] angry. I mean, here's the thing. We're not
[13:42] dogs come over to see why I'm getting emotional.
[13:48] different length sequences of flips and adding
[13:52] we'd anticipate and we're not surprised that you
[13:58] classic pi. But I expect them to be separate
[14:06] for pi happens to match a series for flipping a
[14:16] Thank goodness I got my therapy dog right here.
[14:22] was discovered last year by a mathematician I know
[14:27] blog post for this pi day going through all the
[14:32] You can check it out if you want to go through
[14:37] if you're into that kind of thing. But
[14:42] like a such a good fact. I need to do a thing
[14:46] over and over and over again and calculate pi by
[14:52] turns out it's already been done by my longtime
[14:59] was flipping a coin 10,000 times. I've had this
[15:06] thick a three-sided coin would have to be, which
[15:13] tails, or edge. And I've talked about this
[15:18] but I found the current state-of-the-art.
[15:23] single paper. In fact, to this day, if you go to
[15:28] the one citation for landing on edge is the
[15:35] edge from 1993. So, I thought I would recreate
[15:44] in an attempt to investigate that.
[15:48] the data. I did recreate their experiment by
[15:54] off a horizontal surface a thousand times. Then,
[16:01] if you want to have a look at the data. You can
[16:07] landed on its edge 14 times. Now this whole
[16:13] a whole section in my book humble pie. But the
[16:20] until now. Until I wanted to calculate pi.
[16:26] link to this below if you want to check it out
[16:29] every single coin. Wow, that was a late night.
[16:35] every single landing one. And that's just my kind
[16:43] we need to analyze this, which means we got
[16:47] fun to write the code. So, all I'm doing here is
[16:55] I've I've I've set up the name of the file and
[17:02] we've been through and that starts with
[17:06] useful names. That's also zero. And then for each
[17:14] and how many flips? What are
[17:20] Let's ignore them. [laughter] Let's say they
[17:26] got to be heads or tails. Lowerase H or T. So what
[17:38] then we increment head count. So that goes up by
[17:55] that's our total number of flips. Okay. So, all
[18:00] heads, we add to the running head count. If it's
[18:06] flips count. Great. Now, we got to check if we've
[18:13] we want to work out the ratio of heads to tails in
[18:19] uh headcount divided by flip count. I could
[18:25] I like to split things out because it makes my
[18:29] I'm going to take running ratio total add on
[18:35] So, uh what do we call our sequence count? Count
[18:42] me. So, we add one onto that. Now, we want to
[18:48] flip count and head count now get set back to
[18:55] I can't increment flip result. That's
[18:59] Okay, that fixed. I kind of want to check it's
[19:07] it first without calculating the result. That's
[19:14] and then down here we'll print what we think
[19:21] It'll do that for all 10,000 flips. make sure it
[19:26] You never know with code. It's like if you just
[19:32] make sure everything's working properly. It's
[19:37] Ah. Oh, there it is. It ran. Oh, these
[19:42] So, that was a super long run. Look at it. And
[19:48] Next one was a heads. So, it was one heads was
[19:57] 10 11 flips of which one two three four five six.
[20:09] tipped it over to six and five. It stopped and
[20:17] I'm going to undo that one. Now once
[20:27] Should we do it all at once? Should we just print
[20:35] pi val equals running ratio total divided by count
[20:44] divided by how many there are. That gives us
[20:49] And then we print pi val. So this is it folks.
[21:00] We're going to zoom. Let's get right in. I know
[21:04] Ready? Okay. Here we can't see producer Nicole is
[21:13] person Alex is over there wildly indifferent.
[21:24] That's better than I was braced for
[21:35] For everyone who keeps a running record of
[21:42] That's good stuff. Obviously, while I was
[21:47] did some ridiculous bits to camera and then I
[21:51] in a fake collaboration where a coin
[21:57] on its edge. In a previous video, I said there
[22:02] of it landing on its edge. And even though you
[22:07] misconception that that can happen when it's
[22:13] it lands on a physical surface. It will
[22:18] that's impossible, you need some very nice
[22:23] and some things you might not know. The first
[22:29] take a close look at what happens. If you watch
[22:41] Okay. Okay. All right. Okay. About about the
[22:47] No, you didn't. No. Seriously. Seriously. I
[22:51] I landed on its edge. Is we pro? We No, I know. I
[22:56] it happened. Do it again. There's no Look,
[23:07] See? No. Yes. Wait. No. Yeah. I don't
[23:12] happen. I know. I know. But I did
[23:17] Okay. You're kind of the worst
[23:23] I've got some terrible news about our collab.
[23:32] See you later.
[23:38] Yes, Steve Mold and Tom Scott did stand around
[23:45] coin to land on an edge. Absolute legends. Sorry
[23:51] here we are. And now back to Modern Matt for the
[23:59] 2026 literally 26 in the digits of pi. So write
[24:08] Ah, fantastic. Now, some updates for the people
[24:14] we will do pi by hand again. We've done some
[24:20] of research. We got a whole team on it. It's going
[24:25] long. I'm going to need so many volunteers that
[24:31] haven't really got a plan for that. We're trying
[24:36] a success on the first launch, the leftover
[24:41] which means we can probably do it at the scale
[24:47] 12 [music] months warning if you want to come
[24:52] Link in the description for the sign up form.
[24:56] more than a year in advance when we're going to
[25:01] Moonpie, the update is out. That's a lot of fun.
[25:08] will launch um at some point this year. Um we'll
[25:15] thanks for watching the videos. Oh my goodness.
[25:19] And I couldn't have done it without Passmat.
[25:25] for all things Catalan numbers. Jim Prop for
[25:31] uh I'll link his blog post. You should check that
[25:36] for waiting for a ridiculous amount of time for
[25:43] That's a pretty accurate representation of what
[25:49] it. Thanks. Thanks for supporting the videos.
[25:54] I feel like Pi Day is like uh end of one year.
[25:59] years. I run on pi years. So, that was the end of
[26:07] go uh into the next one. And so, um that's it. So,
[26:22] Oh, no. [laughter] Oh. Oh, that's so unfair.
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