Clarify is a software package that uses Monte Carlo simulation to convert raw statistical results into interpretable outputs without altering statistical assumptions. It is designed for use with Stata and helps researchers interpret and present statistical findings. Clarify 2.0 supports a wide range of statistical models, including linear regression, logit, probit, and multinomial logit, among others. The software allows users to simulate parameters, set values for explanatory variables, and compute quantities of interest such as predicted values, expected values, and first differences. Clarify can be installed on computers connected to the internet by downloading and installing it via Stata commands, or on computers without internet access by downloading a zip file and extracting it. Updates can be performed by reinstalling the software or using the net install command. The software includes commands like estsimp, setx, and simqi, which are used to estimate models, set explanatory variable values, and simulate quantities of interest, respectively. Clarify 2.0 introduces several enhancements, including support for more models, the ability to apply transformations to dependent variables, and compatibility with multiple imputation methods. It also allows for antithetical simulations to reduce Monte Carlo variance and provides more powerful commands for setting explanatory variable values. The software is Amelia-compatible, allowing it to analyze multiple imputed datasets and combine results appropriately. Clarify uses stochastic simulation techniques to generate simulated parameters from their asymptotic sampling distribution, typically a multivariate normal distribution. These simulations are then used to compute quantities of interest, such as predicted values and probabilities. The software provides options for controlling the number of simulations, specifying variable names, and generating antithetical simulations. It also includes commands for summarizing results and generating graphs. Clarify is recommended for use after reading the paper by King, Tomz, and Wittenberg (2000), which discusses the techniques it implements. The software is available for free and can be shared under specific conditions. Users are encouraged to report bugs and provide feedback to the developers. Clarify is designed for advanced users who need detailed information about the algorithms used for parameter simulation, variable setting, and quantity computation.Clarify is a software package that uses Monte Carlo simulation to convert raw statistical results into interpretable outputs without altering statistical assumptions. It is designed for use with Stata and helps researchers interpret and present statistical findings. Clarify 2.0 supports a wide range of statistical models, including linear regression, logit, probit, and multinomial logit, among others. The software allows users to simulate parameters, set values for explanatory variables, and compute quantities of interest such as predicted values, expected values, and first differences. Clarify can be installed on computers connected to the internet by downloading and installing it via Stata commands, or on computers without internet access by downloading a zip file and extracting it. Updates can be performed by reinstalling the software or using the net install command. The software includes commands like estsimp, setx, and simqi, which are used to estimate models, set explanatory variable values, and simulate quantities of interest, respectively. Clarify 2.0 introduces several enhancements, including support for more models, the ability to apply transformations to dependent variables, and compatibility with multiple imputation methods. It also allows for antithetical simulations to reduce Monte Carlo variance and provides more powerful commands for setting explanatory variable values. The software is Amelia-compatible, allowing it to analyze multiple imputed datasets and combine results appropriately. Clarify uses stochastic simulation techniques to generate simulated parameters from their asymptotic sampling distribution, typically a multivariate normal distribution. These simulations are then used to compute quantities of interest, such as predicted values and probabilities. The software provides options for controlling the number of simulations, specifying variable names, and generating antithetical simulations. It also includes commands for summarizing results and generating graphs. Clarify is recommended for use after reading the paper by King, Tomz, and Wittenberg (2000), which discusses the techniques it implements. The software is available for free and can be shared under specific conditions. Users are encouraged to report bugs and provide feedback to the developers. Clarify is designed for advanced users who need detailed information about the algorithms used for parameter simulation, variable setting, and quantity computation.