I've made a new video against low-carb diets

[LadyForCamus]

Is that how you think scientists determine the cause of some effect? They just try to imagine if it’s not?

Just stop. You’re embarrassing yourself.

No, I think they determine the cause and effect using the p-values. I think the p-value can be estimated analitically here, but I am not willing to spend time relearning statistics just for this, so I am going to estimate it numerically using this JavaScript program (just like I numerically estimated the p-value in the latest linguistics paper I have published):

Code:

const how_many_people_in_the_general_population_have_low_blood_pressure=1/3; // I think it's even less than that, but let's go with that.
const how_many_people_with_heart_attacks_have_low_blood_pressure=0.41;
const how_many_people_were_in_the_study=100; // And I am quite sure there were more, but let's go with that.
const how_many_times_will_we_run_the_simulation=10_000;
let how_many_times_did_we_get_the_expected_result=0;
for (let i=0; i<how_many_times_will_we_run_the_simulation; i++) {
  let counter=0;
  for (let i=0; i<how_many_people_were_in_the_study; i++)
    counter+=Math.random()<how_many_people_in_the_general_population_have_low_blood_pressure;
  if (counter/how_many_people_were_in_the_study>how_many_people_with_heart_attacks_have_low_blood_pressure)
    how_many_times_did_we_get_the_expected_result++;
}
console.log(`The p-value is ${how_many_times_did_we_get_the_expected_result/how_many_times_will_we_run_the_simulation*100}%.`);

That program prints:

Code:

The p-value is 4.32%.

Since the p-value is less than 5%, we conclude the relationship is causal.

Lol, wait. What data did you feed into that thing? Show your work. Also, P values don’t definitively prove cause and effect.