HS-LS4-3

Apply concepts of statistics and probability to support explanations that organisms with an advantageous heritable trait tend to increase in proportion to organisms lacking this trait.

More Stories in HS-LS4-3

  1. Animals

    How can Baby Yoda be 50 years old?

    Animals with wings, big bodies or other protections from predators are more likely to evolve long lifespans.

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  2. Animals

    Some young fruit flies’ eyeballs literally pop out of their heads

    The first published photo shoot of developing Pelmatops flies shows how their eyes rise on gangly stalks in the first hour of adulthood.

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  3. Health & Medicine

    Should we use a genetic weapon against mosquitoes carrying malaria?

    One gene drive to eliminate malaria seems to work in the lab. Now it’s time to ask local people if they want it released in the wild.

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  4. Animals

    Living mysteries: This critter has 38 times more DNA than you do

    The genomes of salamanders are bloated with genetic “parasites.” That extra DNA slows down their lives and strands them in perpetual childhood.

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  5. Animals

    Analyze This: Bulky plesiosaurs may not have been bad swimmers after all

    Long-necked plesiosaurs were thought to be slow swimmers. But new research suggests the animals’ large size helped them overcome water resistance.

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  6. Animals

    How boa constrictors squeeze their prey without strangling themselves

    Tracking boas’ ribs in X-ray videos revealed the snakes’ squeezing secrets. It’s the latest Wild Things cartoon from Science News Explores.

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  7. Fossils

    Ancient ‘ManBearPig’ mammal lived fast — and died young

    Developing in the womb for a while — but being born ready to take on the world — may have helped post-dinosaur mammals rise to dominance.

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  8. Animals

    Butterfly ‘tails’ might be part of an escape tactic

    Slender, tail-like extensions on their wings may help some butterflies survive attacks by hungry predators.

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  9. Tech

    Virtual critters evolve bodies that help them learn

    A combination of evolution and learning may lead to more intelligent and agile robots.

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