11 Matching Annotations
  1. Jan 2025
  2. Aug 2024
    1. Once we’ve donethis, we take all of ourstocks and put them into adashboard, which is just ourmaster Excel worksheetthat has all the valuations.Then we sort by reward-to-risk, and this is what reallydrives the framework forour portfolio. Sortingthrough that reward-to-riskhelps us make our buy andsell decisions and portfolio-weighting decisions.

      .

  3. May 2024
    1. In his renowned essay,“Battle of the Books” (1698), Jonathan Swift celebrated these texts asmore excellent than moderns realized—and he bequeathed a phraseto describe the honey of the ancients that Matthew Arnold wouldlater make infamous: “sweetness and light.”

      note the "honey of the ancients" description here with a tangential nod to the commonplace tradition

      see: <br /> - https://hypothes.is/a/mCsl9voQEeuP3t8jNOyAvw<br /> - https://hypothes.is/users/chrisaldrich?q=tag%3A%22jonathan+swift%22+tag%3A%22commonplace+books%22

  4. Jun 2022
  5. May 2015
    1. The estimate that 85% of research is wasted referred only to activities prior to the point of publication. Much waste clearly occurs after publication: from poor access, poor dissemination, and poor uptake of the findings of research.

      Good quote

    1. It’d be really great if the initial studies gave us an accurate summary of things. But they don’t. And so what happens is we waste a lot of money treating millions of patients and doing lots of follow-up studies on other themes based on results that are misleading.”

      Need to be able to reference these statements

    2. For Simmons, the steep rise and slow fall of fluctuating asymmetry is a clear example of a scientific paradigm, one of those intellectual fads that both guide and constrain research: after a new paradigm is proposed, the peer-review process is tilted toward positive results. But then, after a few years, the academic incentives shift—the paradigm has become entrenched—so that the most notable results are now those that disprove the theory.

      Interesting, but again points to a real need to accelerate this process.

    1. Academic investigator’s directly or indirectly pressured their labs to publish sensational “best of all experimental” results rather than the average or typical study; The “special sauce” of the author’s lab – how the experiment was done, what serum was used, what specific cells were played with, etc.. – led to a local optimum of activity in the paper that can’t be replicated elsewhere and isn’t broadly applicable; or, Systemically ignoring contradictory data in order to support the lab’s hypothesis, often leading to discounting conflicting findings as technical or reagent failures.

      Good material for the proposal