A statistically significant result is defined as an outcome that is unlikely to have occurred by chance. Generally, if the significance level is .05 or below, making it a less than 5% chance that the results were due to an external factor, then it is taken to be significant. However, by saying something is statistically significant, doesn’t necessarily mean that the results are significant in the real world. Statistically significant basically means that what we have found is not nothing – there is definitely something happening as the results are not zero. But this doesn’t mean that the results show something important. This is where scientific findings can be misinterpreted. In day to day life, we take significance to mean the finding of something important, whereas in science it just means that they have found something. It has also been found that in every 20 studies that find a statistically significant result, at least one of these is flawed in some way. This means that even if statistical significance did always mean that it was significant in the real world; these results are not always reliable; again meaning that it is not sufficient to assume that all statistically significant findings mean that there is definitely an effect.