Course curriculum

    1. You're in!

    2. Advice on engaging with our content

    3. Getting the ball rolling

    1. Machines of exponential importance

    2. How to 10x your impact by choosing interventions carefully

    3. The probability distribution of impact is probably heavy-tailed

    4. Identifying pressing problems and the best solutions to them

    5. Multiple multipliers

    6. Effective altruism

    7. Life and death choices: moral mathematics in the driver’s seat

    8. Predicting the future with Bayes Theorem

    9. Farmer or librarian?

    10. Jamie’s (super?) forecast

    11. The big reveal: Bayes Theorem in all its glory

    12. Quick check

    13. Neema’s case: Putting numbers into action

    14. Neema’s case: Your answer

    15. Neema’s case walkthrough

    16. Messy mathematics in the real world

    17. Messy mathematics: Your answer

    18. Messy mathematics walkthrough

    19. Getting better at Bayes

    20. Waterfowl, waste-oil, wires, and willingness-to-pay

    21. The moral menace of neglecting numbers

    22. Scope insensitivity: your guess

    23. Scope insensitivity: the results

    24. What % utilitarian are you? Ethical theories by the numbers

    25. Summing up

    26. Further exploration

    27. New Lesson

    1. Tough choices in warzones and disasters

    2. Exploring landmark numbers on problem size

    3. A framework for prioritising pressing problems

    4. Shocking neglect

    5. Putting the framework into practice

    6. What did you think?

    7. You can quantify anything

    8. How to estimate anything

    9. Real decisions with real consequences

    10. Bus or bike?

    11. Saving 90 hours with a few minutes of maths

    12. From mundane to moral mathematics

    13. Quantifying Carefully

    14. Summing up

    15. Optional: Sanjay Joshi talk and Q&A

    16. Further exploration

    1. Your updated AI advisor

    2. Big Decisions

    3. What’s the price of a human life?

    4. Asking people how they want us to help them

    5. Helping the voiceless

    6. Weighing welfare across species

    7. Counting neurons to weigh welfare across species (activity)

    8. Don’t rely too much on neuron counts

    9. Species comparison in practice

    10. Predictions from the precipice: Climate modelling

    11. Expected value and probability theory

    12. Betting on big outcomes

    13. Exploring expectations

    14. Exploring expectations (activity)

    15. Summing up

    16. Annabella Wheatley talk and Q&A

    17. Further exploration

    1. Your updated AI advisor

    2. The long and short of it

    3. Machine learning and AI: maths at the forefront of emerging tech

    4. What is a neural network?

    5. Maths that might destroy the world

    6. Maths that might save the world

    7. Pandemic preparedness and battling biorisk

    8. Manipulating materials and mathematical models for a flourishing future

    9. The case for reducing existential risks

    10. Two kinds of lasting legacy

    11. Mistakes in the moral mathematics of existential risk

    12. Summing up

    13. Jack Parker Q&A

    14. Noah Siegel talk and Q&A

    15. Further exploration

    1. Your updated AI advisor

    2. A simple formula for career impact

    3. A simple formula for career impact (Activity)

    4. The best learning is targeted learning

    5. The best learning is targeted learning (Activity)

    6. Why study maths?

    7. Funnel vision, not tunnel vision

    8. Casting a wide net

    9. AIM high, DIY

    10. Plenty of paths to impact

    11. Multiply your income to maximise your impact?

    12. Careers beyond finance & quant trading

    13. Do you want to commit to this?

    14. There's more than one STEM subject

    15. Degrees that set you up for high-impact careers

    16. Considering relevant degrees (Survey)

    17. Making your degree research impactful

    18. Degrees and careers that capitalise on your strengths

    19. Making watertight plans

    20. Your next steps on the path to impact

    21. Your priority area to look into

    22. Congratulations!

    23. Spencer Greenberg Q&A

    24. Vicky Cox talk and Q&A

    25. Further exploration

About this course

  • Free
  • 103 lessons
  • 8 hours of video content

Discover your potential, starting today

Enroll today