The default prior is fifty percent. With the medium evidence likelihood ratio of two, the model multiplies prior mass by two and then normalizes. Fifty percent times two is one, and the other half remains zero point five. Dividing one by one point five gives two thirds, displayed as sixty seven percent after rounding. The result is not one hundred percent; doubling the odds is different from doubling probability. Choose the strong preset with likelihood ratio four. Starting at fifty percent gives weighted masses two and zero point five, so the posterior is eighty percent. Starting at ten percent gives masses zero point four and zero point nine. Their total is one point three, and zero point four divided by one point three is about thirty point seven seven percent, displayed as thirty one. Strong evidence alone does not erase the prior. The tool rounds the posterior to an integer percent. Its exact zero and one hundred percent priors stay at those endpoints. All three supplied evidence presets have likelihood ratios above one, so this interface only shows evidence favoring the chosen hypothesis. Clicking Update again uses the slider’s same prior; it does not automatically feed the last posterior back in. These likelihood ratios are selected teaching assumptions, not measured credibility for any particular real world claim.