# Snot Science: Stopping the sneeze

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### How well does a tissue help stop a spew of snot?

Cold and flu season mean that sneezing and runny noses are everywhere you look. Standing far away might seem like protection from infection. But you have to step pretty far back. Some scientific studies have shown that droplets from a sneeze can fly up to eight meters (26 feet)! If you’re lucky, the sneezer will have a tissue handy. But does sneezing into a tissue really stop the snot? Science has the answer.

In my very first DIY Science video, I asked how far a sneeze could travel and whether thick or thin snot traveled the farthest. I found that thin snot (using colored water as a stand-in, no real boogers involved) shot an average of three meters (9.8 feet). Thick snot (gelatin and corn syrup) only sprayed about a meter (3.3 feet).

If people are polite, though, they usually don’t just let a sneeze fly free. There’s an elbow or a hand in the way. If they’re very well prepared, they might have a tissue at the ready.

But tissues are flimsy, soft sheets of paper. Can something that tears so easily stop a virus in its tracks? To find out, I need to do another experiment.

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Snotty studies
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I’ll start with a
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hypothesis
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— a statement that I can test. I hypothesize that
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a tissue in front a sneeze will make snot fly a shorter distance than a free sneeze
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.

Instead of tickling the noses of a bunch of people to make them sneeze, I’m using a
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model
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of a sneeze. I filled a dropper with one milliliter of colored water. Then I squirted the dropper for my “sneeze.” To measure how far my “snot” flew, I used a plastic tarp marked every half meter (50 centimeters, or 20 inches).

Ideally, to detect a large difference I would repeat the experiment 26 times. Unfortunately, reality intervened, and I only had time for 12 repetitions of each sneeze type, tissue and no tissue.

Each time I squirted the dropper, I wrote down how far the farthest drop flew. That gave me the maximum distance for the sneeze. I also counted how many drops landed in each half-meter segment of tarp. That would tell me where the sneeze concentrated.

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Booger blockade
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The spreadsheet shows the maximum distance the sneezes flew, with and without a tissue. At the bottom I’ve calculated the mean — the average total distance — for each condition. For my no-tissue control, my sneezes spread a mean of 382 centimeters (150 inches), a little farther than in my previous study. With the tissue, the snot flew an average of 76 centimeters (29 inches).

These numbers seem very different, but to be sure, I need to do some statistics — tests to analyze data and interpret their meaning. In this case, I used a
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t test
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— a test used to find the differences between groups. I will be looking for two numbers. The first is a
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p value
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. This is a probability measure — or how likely it is that I would have found by accident a difference as big as the one I saw. Many scientists consider a p value of less than 0.05 (or a five percent chance) as statistically significant. There are lots of free sites that will do these calculations. I used this one.

The calculator told me that the
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p value
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for my data was 0.0001. That’s a 0.01 percent chance that this difference happened by accident. However, this doesn’t tell me how big the difference is in my data. To find that, I looked for a measure called
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Cohen’s d
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. I will need a
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standard deviation
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for this — a measure of how much the data spread around my means. You can find out more about that in one of my previous posts. I plugged the means, standard deviations and number of samples into this calculator.

My Cohen’s d value was 8.2. Generally, scientists define a Cohen’s d below 0.2 as a small effect size and above 0.8 as a large one. So this Cohen’s d is gigantic. A tissue, it turns out, makes a big difference.

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Snot spread
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The snot did not make it as far with a tissue as without. It also changed how the snot concentrated along the flight path. Below is the data for how many droplets fell per 50 cm (20 in) of tarp. I then took that data and created a graph to show what the two groups look like when compared to each other.