the-real-seebs:

sciencings:

I call bullshit on this calling of bullshit.

There are 7.046 billion (7,046,000,000) people on the planet right now. That times three spiders per person gives 21138000000 spiders per year.

21138000000/365.4 = 57,848,932.7 spiders per day.

57,848,932.7/24 = 2,410,372.2 spiders per hour.

2,410,372.2/60 = 40172.9 spiders per minute.

40172.9/60 = 669.5 spiders per second.

 Now, obviously this is an unreasonable number of spiders to eat in the usual fashion! However, it is possible to make flour from insects, and consume your spiders that way.

Assume a spider weighs about 0.003 to 0.005 grams (which is the average weight of a spider, I am unsure whether Spiders Georg’s spiders are above, below, or at average). There are about 236.6 grams in one cup, which would mean that it would take approximately 78,866.7 spiders to make one cup of spider flour. A loaf of bread uses approximately 5 cups of flour, or 394,333.3 spiders. So this method would require him to consume 6 loaves of bread per hour.

Considering that the world record for eating one slice of bread is about 10 seconds, and there are 20-30 slices in one loaf of bread, at top speed it would take 200-300 seconds or between 3.3 and 5 minutes to eat one loaf.

Therefore, to eat his daily spider allotment would take Spiders Georg approximately 12 hours using this method. (6 loaves per hour * 24 hours per day= 144 loaves * 5 min per loaf = 720 minutes/60 min per hour)   Totally doable.

This is all stupid. The “average” isn’t computed by dividing the number of spiders eaten by the entire world population. It’s a sample. They’d have sampled how many spiders a few thousand people eat in a year, or something. Well. Assuming Spiders Georg eats “over 10,000 each day”, let’s say he’s eating 10,001 per day, 365 days a year, so that’s 3,650,365 spiders per year. If the average reported is 3, that tells us that their sample space was actually about 1.22 million people. Which is pretty much the largest study ever done, and I totally understand why they just didn’t have the time to check the data set for outliers.