Neuroscience is strugling to perform experiments with a minimum of 95% level of confidence, keeping the margin of error at or below 5% -
these are the
usually expected values of a medical-related research.
In order to obtain such a level of confidence and a margin of error, research teams must collect at least 350 data-point - meaning, they must
recruit, say, 350 participants and perform the experiment with all of them.
This can be very time consuming, and also costly. Especially if the scope of the experiment is global (test participants around the planet),
you can imaging that the difficulties and the cost will dramatically increase. Working with a limited budget, achieving such a confidence level
and a margin of error is often not possible.
Luckily, some of the experiments can be conducted online. With a properly designed experiment, we can have many thousands of online participants easily.
Unfortunately, an online experiment lacks of sufficient control over the parameters that affects the outcome.
For example, for hearing experiments, it is important to have a reliable information whether the participant is wearing headphones or not.
Currently, there is no known method that can detect that with a sufficient confidence.
This is where we come in the picture: we are searching for such a method, and you can help in achieving that goal.
Please click the [CLOSE] button to return to the experiment - and thank you for helping the advancement of science!