Open Menu
AllLocalCommunitiesAbout
lotide
AllLocalCommunitiesAbout
Login

how is pragent formed?

⁨489⁩ ⁨likes⁩

Submitted ⁨⁨11⁩ ⁨months⁩ ago⁩ by ⁨fossilesque@mander.xyz⁩ to ⁨science_memes@mander.xyz⁩

https://mander.xyz/pictrs/image/f6bc4b69-84e5-4d84-866e-294f41a3b748.jpeg

source

Comments

Sort:hotnewtop
  • Mr_Fish@lemmy.world ⁨11⁩ ⁨months⁩ ago

    If a women has starch masks on her body, does that mean she has been pargnet before.?

    source
    • dalekcaan@lemm.ee ⁨11⁩ ⁨months⁩ ago

      how do u use a Luigi bored?

      source
    • Xttweaponttx@sh.itjust.works ⁨11⁩ ⁨months⁩ ago

      Period question mark.

      source
  • Carvex@lemmy.world ⁨11⁩ ⁨months⁩ ago

    preganante

    source
    • DannyBoy@sh.itjust.works ⁨11⁩ ⁨months⁩ ago

      grengant

      source
      • NegativeLookBehind@kbin.social ⁨11⁩ ⁨months⁩ ago

        Can u get

        Preganté

        source
        • -> View More Comments
      • Linnce@lemmy.world ⁨11⁩ ⁨months⁩ ago

        Pegrent

        source
    • Huschke@lemmy.world ⁨11⁩ ⁨months⁩ ago

      Or am I OK?

      source
  • charonn0@startrek.website ⁨11⁩ ⁨months⁩ ago

    How is babby formed?

    source
    • ken_cleanairsystems@lemmy.sdf.org ⁨11⁩ ⁨months⁩ ago

      They need to do way instain mother who kill their babby

      source
      • pigup@lemmy.world ⁨11⁩ ⁨months⁩ ago

        And these baby can no friggith back?!?

        source
  • pigup@lemmy.world ⁨11⁩ ⁨months⁩ ago

    pgrenat

    source
    • moog@lemm.ee ⁨11⁩ ⁨months⁩ ago

      Pregnanan?

      source
      • fjordbasa@lemmy.world ⁨11⁩ ⁨months⁩ ago

        STARCH MASKS?

        source
        • -> View More Comments
  • JoBo@feddit.uk ⁨11⁩ ⁨months⁩ ago

    I’m going to have to object. We don’t use “false positive” and “false negative” as synonyms for Type I and Type II error because they’re not the same thing. The difference is at the heart of the misuse of p-values by so many researchers, and the root of the so-called replication crisis.

    Type I error is the risk of falsely concluding that the quantities being compared are meaningfully different when they are not, in fact, meaningfully different. Type II error is the risk of falsely concluding that they are essentially equivalent when they are not, in fact, essentially equivalent. Both are conditional probabilities; you can only get a Type I error when the things are, in truth, essentially equivalent and you can only get a Type II error when they are, in truth, meaningfully different. We define Type I and Type II errors as part of the design of a trial. We cannot calculate the risk of a false positive or a false negative without knowing the probability that the two things are meaningfully different.

    This may be a little easier to follow with an example:

    Let’s say we have designed an RCT to compare two treatments with Type I error of 0.05 (95% confidence) and Type II error of 0.1 (90% power). Let’s also say that this is the first large phase 3 trial of a promising drug and we know from experience with thousands of similar trials in this context that the new drug will turn out to be meaningfully different from control around 10% of the time.

    So, in a 1000 trials of this sort, 100 trials will be comparing drugs which are meaningfully different and we will get a false negative for 10 of them (because we only have 90% power). 900 trials will be comparing drugs which are essentially equivalent and we will get a false positive for 45 of them (because we only have 95% confidence).

    The false positive rate is 45/135 (33.3%), nowhere near the 5% Type I error we designed the trial with.

    Statisticians are awful at naming things. But there is a reason we don’t give these error rates the nice, intuitive names you’d expect. Unfortunately we’re also awful at explaining things properly, so the misunderstanding has persisted anyway.

    This is a useful page which runs through much the same ideas as the paper linked above but in simpler terms: The p value and the base rate fallacy

    And this paper tries to rescue p-values from oblivion by calling for 0.005 to replace the usual 0.05 threshold for alpha: Redefine statistical significance.

    source
  • vitamin@infosec.pub ⁨11⁩ ⁨months⁩ ago

    How is babby formed? How is babby formed How girl get pragnent

    source
  • Potatos_are_not_friends@lemmy.world ⁨11⁩ ⁨months⁩ ago

    I hate that for a decade, I keep forgetting the differences or how to explain it. And this meme is how I finally learned it.

    source
  • blanketswithsmallpox@lemmy.world ⁨11⁩ ⁨months⁩ ago

    Nobody’s going to mention that poor dude has ball cancer?

    Fortuitous false positive.

    False POSITIVE.

    source
    • GUBERNACULUM@lemmy.world ⁨11⁩ ⁨months⁩ ago

      I feel like this joke is too nuanced for your average nonmedical person to get. But I dig it, thank you.

      source
  • GBU_28@lemm.ee ⁨11⁩ ⁨months⁩ ago

    Babby

    source
  • Damaskox@kbin.social ⁨11⁩ ⁨months⁩ ago

    A YouTube video about this thing (I believe)

    source
  • RavenFellBlade@startrek.website ⁨11⁩ ⁨months⁩ ago

    Dangerops prangent sex? will it hurt baby top of his head?

    source
  • theodewere@kbin.social ⁨11⁩ ⁨months⁩ ago

    his whole world changed in an instant

    source
  • RIP_Cheems@lemmy.world ⁨11⁩ ⁨months⁩ ago

    “…your just fat”

    source
    • Frozengyro@lemmy.world ⁨11⁩ ⁨months⁩ ago

      My just fat what?

      source
      • RIP_Cheems@lemmy.world ⁨11⁩ ⁨months⁩ ago

        It was a joke for the false negative

        source
  • shath@hexbear.net ⁨11⁩ ⁨months⁩ ago

    how praginet get does babby appear am I/??

    source
  • RavenFellBlade@startrek.website ⁨11⁩ ⁨months⁩ ago

    Purgernant

    source
  • EndHD@lemm.ee ⁨11⁩ ⁨months⁩ ago

    better than any mnemonics the professors used back in uni

    source
  • shiveyarbles@beehaw.org ⁨11⁩ ⁨months⁩ ago

    Ummm you’re just fat

    source