About: How Statistics Can Lie
all the little shadows being drawn are terrible and ruin most of the drawings
Sounds like an ASMR video.
Oh... like the "wage gap."
Put some bass in you voice, sounds like a high school sissy, no one wants to see a toilet drawn
First off, super cool video! I love how engaging the artwork is. However, I would say this is more representative of a lurking variable, or mistaking causation for correlation, then it is about the efficacy of statistics. This is a small component of statistics which of course could have a disastrous effect, but in no way does it sum statistics. Other than that, It is a very interesting and well made video!
To add- statistics results and goals are first created and then statistics are used to back this up, that is often manipulated to fit the result/ goal. Like any business action, the goal is planned first then the how later.
Its not what the statistics will show but how can statistics show the goal of the action.
I've thought that before. You polled 1200 people out of 30 million. How can that be taken seriously?
Bravo, this deserves more views!
You didn't explain how statistics can lie. Spoiler they can't.
Its amazing how people can take two unrelated things, and make them look related simply by misusing statistics. It shows that marketing today can take a lot of things, and misrepresent it just to make consumers purchase more.
This was a very interesting video. Statistics are a big part of how we decide to buy certain things and make other common choices. I never knew how statistics could be manipulated so much, especially with false correlations and small sample sizes.
The feminists and anti-gun people hate you. You just destroyed their wage gap and crime stats! You need a fucking medal my friend!
I thought it was really interesting the way that this was broken down, the orange jelly bean/anarchy correlation really shows how broadly stats can be manipulated
Wow I never realized how small sample sizes can make coincidences seem more likely leading to flawed conclusion.
Useful info about how statisticians can manipulate data and mislead people. Many people lack a basic knowledge of probability and data interpretation. Advertisements in commercials or billboards often use graphs or charts that make a product more appealing but the data is often being altered in order to misrepresent the quality of the product.
I never really gave much thought to the "sample size" when advertisements presented statistics. I always just trusted that their statistics were based off a large enough population to be accurate, and never really thought that they could potentially be twisting in a way to make it seems as if what they are saying is true, even though it is really not. Thus, it is important to consider the methods of which the data was collected, as well as the sample size, in order to not be misled.
wow I didn't know that statistics can lie so much. You really need to look at all the different aspects and can't just hold something as true.
Really cool video. I think its important not to always consider statistics as the end all be all, and how its important to look at the factors that made them. Don't take all statistics at "face value".