Summer of Math Exposition

Presented by 3Blue1Brown 3blue1brown

The normal distribution doesn't exist

Audience:

Tags: statisticsnormal-distributioncentral-limit-theoremsimulationlog-normal-distributiongrowth-ratesapproximation

In this video, I show you why the normal distribution is in so many cases the proper model to describe statistical data, even though it doesn't exist in reality. We talk about the cental limit theorem and try to simulate different kinds of data in order to see why the central limit theorem is applicable.


Analytics

5.13 Overall score*
112 Rank
16 Votes
7 Comments

Comments

5.3

I liked the novelty of his claim, although I think that he may have contradicted himself. I find that the claim that the normal distribution doesn’t exist is a novel idea that is worth to be explained; that being said, his second main argument is that a lot of real life situations should/can be modeled by a log-normal distribution instead of a normal distribution (which is true), but that doesn’t prove that the normal distribution does not exist. Moreover, the central claim is that the normal distribution is continuous on its domain, which is something that fails to represent real data as it is impossible to have an infinite amount of data points, but the log-normal distribution is also continuous on its domain which would also fall under the same argument for non-existence (which would constitute in a contradiction). I also liked the construction of simulations to represent and generate data.

3.1

Personally I don’t see how this serves as a good teaching tool, and how should it be used, and in what context.

7.3

I had never heard of log-normal distributions although you made them sound relevant, so that’s a win. I think the revelation would have been more satisfying if you had centred your narrative in this direction rather than the “no normal in real life” angle since I found the formal explanation for that underwhelming. The presentation was fine, though the sections with bare text on purple aren’t very appealing. Simple things like filling the background when showing plots could have gone a long way here.

4.9

The claim that the normal distribution doesn’t exist is clickbait-y, and the video did not convince that this was true. The log-normal examples were cherry-picked and there are still numerous examples, like quantum states and random walks, where a normal distribution would still be applicable. There is an obvious inherent discreteness in a finite universe, but in cases where the number is so large that it is easier represented in exponent form, it may as well be considered continuous. The title and video are misinformation at best and malicious at worst. Either way, the examples chosen in the video are nicely chosen, but presentation of the information is questionable.

3.5

This video has an interesting hook — that the normal distribution doesn’t exist in reality. I buy the reasoning that every variable we observe in the real world has finite range. But I’m not clear on what the video argues we should replace the normal distribution with. For most of the video, there is no alternative proposed. In the final two minutes, the log-normal distribution is explored, but this still has same problem as the normal distribution of having an infinite domain. So overall I’m not sure what the main takeaway of the video is.

6

Clarity is good

5

My score does not reflect my evaluation of this entry, the title is very attractive and I am genuinely curious to know what it is about; however, the mouth clicks made it impossible for me to watch. Constructive feedback: make sure to use a “mouth click filter” when you edit your audio, most free audio processing tools include such a filter. No matter how great your content and visuals are, audio is as important to avoid loosing your viewers. All the best!