Dagger (usedagger.com) is a new tool for calculations with uncertainty. It uses Monte Carlo simulation.

There are two ways to specify your simulation model:

- Import an existing
**spreadsheet** - use
**Probly**a Python dialect designed for probabilistic simulation**,**

ℹ️ Each of the two links above has 4 interactive examples. You might want to start there.

# Spreadsheet

## Example

In this 15-second video, we take a complex existing spreadsheet (100+ rows) from GiveWell and turn it into a Monte Carlo simulation

The sheet already gives us "optimistic/pessimistic" values, so it's as simple as adding one column to specify the distribution as (e.g.) uniform

(Longer version of this video)

## Features

### Dependency graph

### Intuitive and mathematically rigorous sensitivity analysis

Our sensitivity analysis uses __Sobol’ global sensitivity indices__. The approach and the intuition behind it are explained in more detail here.

ℹ️ You need to enable the sensitivity analysis under "Advanced options"

Summary table

This table exposes the structure of your model by showing the dependency graph as a tree. Similar to Workflowy, you can **zoom** to any variable, or **expand/collapse**.

# Probly

Probly feels very like Python, except that any number can also be a probability distribution:

## Example

Here's a fuller example of the syntax and resulting output. It's part of a GiveWell CEA of iron and folic acid supplementation.

## Distribution support

Probly supports 9 probability distributions. Each can be constructed in multiple ways.

For example, you can construct a normal distribution in 5 ways:

This clickable table shows you everything that's supported, and includes example code:

ℹ️ Shortcut:

`probly.dev`

redirects to`usedagger.com/probly`

# Limitations

There are at the moment numerous limitations. A small selection of them:

- Probly:
- Doesn’t support the Sobol' sensitivity analysis
- Doesn't show the dependency graph

- Spreadsheet
- There is no UI in Dagger to edit the model. All changes must go via the spreadsheet.
- The spreadsheet must specify probability distributions in a specific format.

- All models are public

I've fully rewritten the spreadsheet tool, available at usecarlo.com:

The major improvements are:

Other improvements include: