Statistics with teeth

Data Analytics

From exploratory analysis to causal inference, we treat your data with the respect it deserves and the skepticism it requires.

Numbers without uncertainty estimates are opinions in costume.

How it works

  1. Step 1

    Explore

    Distributions, missingness, outliers. We meet the data where it is before we ask anything of it.

  2. Step 2

    Model

    The simplest model that answers the question. Complexity earns its place.

  3. Step 3

    Test

    Specification curves, sensitivity analyses, falsification tests. We try to break our own findings.

  4. Step 4

    Communicate

    Effect sizes humans can act on, not coefficients only econometricians read.

What you get

  • ●Reproducible analysis scripts (R / Python / Stata)
  • ●Diagnostic plots and robustness checks
  • ●Effect sizes with confidence intervals — not just p-values
  • ●Plain-language interpretation

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