Checking the tripadvisor of this hotel he mentions , I ' d probably finished there too based on trip advisor . 29 Excelentgood reviews , against 6 badreally bad . Fair point . But I tend to see it as a red flag if an otherwise wellreviewed place seems to have a disproportionate number of bad reviews . I also look at the dates of the reviews . If the more recent reviews tend to be more negative I take that as an indication that the standard of accommodation there may have gone downhill . <| sep |> The people of the past were terrible , read this . Hands you The Hunger Games <| sep |> yea , its sad that Ubisoft chose that route instead of adding more insight <| sep |> Science is inherently imperfect any measurement you take will have ' noise ' associated with it i . e . random variations not related to your question . Therefore , it is important to decide whether the result you ' ve got is actually a meaningful result , or just that by chance it looks like a result . To illustrate this , let ' s pick the very simple hypothesis that men are taller than women . 480 h 292 chart roughly illustrates the true distribution of heights in each sex just plucked from Google the details aren ' t important . As you can see , there is some overlap . Therefore , if you pick one male and one female at random , there is a chance you will pick a female who is taller than the male . Or you could pick a very tall male , and a very tall female . And so on . As your sample size increases , you will start to see a pattern , that the males tend to be taller than the females . At this point , you can ask the question what is the chance that this is because males are taller than females , or what is the chance that I ' ve just happend to pick some tall males and some short females ? . You would do a statistical test to answer this question probably just a Student ' s ttest ' sttest in this example and that will spit out an answer . The result could be p 0 . 1 , which would mean that there is a 10 % chance that there is no real difference and you ' ve just happened to pick many tall men and short women and hence a 90 % chance that there is in fact a difference . In general , scientists call p 0 . 05 to a significant result i . e . the probability that the result is just chance is sufficiently low that they ' re happy to say it ' s a true result . This level is pretty arbitrary , and open to some interpretation . Some people say 0 . 05 p 0 . 1 is ' almost significant ', and many publications will highlight results with p 0 . 01 or p 0 . 001 as being much more confidently true results . One final complication is that most science is much more complicated than just comparing two means from a normal distribution , which is why there are so many different statistical tests and techniques . I don ' t know exactly how the Higgs Boson result was arrived at . Tldr In science , there is a lot of random variation . You need to work out the probability that you found a ' true ' result versus the probability that what looks like a result is just random . In this case , they are 95 % happy that they found a true result although this still means there is a 5 % chance their result could be false .