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Lamb Kofta Stuffed Bell Peppers

Probability as Logical Inference

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Lamb kofta stuffed into roasted bell peppers with a light olive-oil finish.

A dramatic reading of E.T. Jaynes' textbook

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Ingredients

1 lb ground lamb
1/4 cup fresh parsley, chopped
1 tsp ground cumin
1 tsp smoked paprika
1/2 tsp garlic powder
1/2 tsp onion powder
1/2 tsp coarse sea salt
1/2 tsp cracked black pepper
4 medium bell peppers, halved and seeded
1 Tbsp butter or beef tallow (for cooking)
1 Tbsp extra virgin olive oil (for finishing)

Macronutrients
(per serving, yields 4 servings)

Protein: 25g
Fat: 32g
Carbs: 5g

Preparation

Preheat oven to 375°F (190°C).

In a large bowl, combine ground lamb (1 lb), chopped parsley (1/4 cup), cumin (1 tsp), smoked paprika (1 tsp), garlic powder (1/2 tsp), onion powder (1/2 tsp), salt (1/2 tsp), and pepper (1/2 tsp). Mix gently until just combined.

Lightly sauté bell pepper halves (4) in butter or tallow (1 Tbsp) over medium heat for 3–4 minutes to soften slightly. Remove from heat.

Stuff each pepper half generously with the lamb kofta mixture.

Place stuffed peppers in a baking dish and bake uncovered for 25–30 minutes, until lamb is cooked through and peppers are tender.

Remove from oven and drizzle extra virgin olive oil (1 Tbsp) over the stuffed peppers before serving.

What is probability? When we say an event has a probability of 0.9, what do we mean? Ask a Bayesian and a Frequentist, and they'll probably (whatever that means) give you two very different answers. In this talk, Benji Metha presents an interpretation from 20th century physicist E. T. Jaynes, wherein probabilities are treated as an extension of the concepts of "true" and "false" to situations where not all information is known — with some delightful consequences.

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COMMENTS

2 COMMENTS 1 COMMENT 0 COMMENTS SHARE LOGIN PRINT
Pat McElhone October 14, 2025 | 12:44 EST
Scaled to 24kg Kb and sub’d 9 ring MU for 12 bar MU
29:30
CoachSroka8 October 16, 2025 | 22:31 EST
28kg kettlebell
27.16
Paulina Braden October 13, 2025 | 12:26 EST
I've read portions of this textbook but this was a great summary/highlight of key points- especially the framing of probability as an extension of logic rather than just statistics.
I think this is why it is so advantageous to have an understanding on math, specifically in this context the foundation and principles of statistics. It gives you a better framework to understand the logic of not only statistics but in everyday scenarios.
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