• joshhsoj1902@lemmy.ca
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    1 year ago

    What percentage increase do you feel is required for surge to be a reasonable definition. A 35% increase feels surge-y me.

      • joshhsoj1902@lemmy.ca
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        1 year ago

        That’s why we’re talking about relative percentages.

        In your example we would need to know how many trees existed on your road/city before. If there were less than 3 or 4 trees in your city before this, saying there was a surge is likely fine.

          • joshhsoj1902@lemmy.ca
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            1 year ago

            I’m super confused by your point.

            In this case we’re looking at Steam.

            I have no clue how many people submit to the steam survey, but I’ll assume it’s representative.

            A quick google suggests steam has about 120 million active users.

            Linux went from about 1.4% to 1.9%.

            Rough math says Linux went from 1.7 million to about 2.3 million.

            Or an increase of 600 000.

            That a lot, both in relative terms and in real terms.

            Here’s a counter example for you.

            You own stock in banana company. Over one day the price increases 2x. All the news agency’s are talking about how banana surged in price today. Will you then suggest that banana didn’t surge in price because it only makes up 1% of the overall stock market?

    • ImFresh3x@sh.itjust.works
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      1 year ago

      It’s not just a percentage thing. 1 person yesterday to 2 people today is a 100% increase. Not much of a surge, at least in terms of news worthiness. Going from 6% to 10% sounds more news worthy than going from 1% to 2% despite the latter being a much larger percentage increase.

      • joshhsoj1902@lemmy.ca
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        1 year ago

        Of course, percentage just help show relativity. It’s why people can look at a 0.5% increase and dismiss it as not significant.

        Would it help if I translated the percentage for you? Linux surged 600000 to 2.3 million.

    • Helix 🧬@feddit.de
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      1 year ago

      Small number random samples in big data sets have huge error margins. You need to smooth this over time to see the real trend.