Swiss housing resentment finally objectively quantified

HomeHate

The Swiss index for people who got PTSD from the national housing market.

National Home Hate Index 0 No votes yet. The market remains temporarily uninsulted.
Current diagnosis

Awaiting sufficient hatred to produce a statistically irresponsible accusation.

Latest vote
No evidence submitted yet.

Housing hate map

Switch between communes and cantons, then choose whether the map shows ranking score, raw average, or vote volume.

Loading hatemap...

The listings supplied the optimism. The public supplied the evidence.

Evidence Locker

Switzerland’s housing resentment, itemised

Loading the national case file…

Geographic prosecution

The national case

Switch between communes and cantons. Only the jurisdiction changes; the housing market remains guilty.

Commune

Most hated

The highest weighted hate scores currently before the court.

    Commune

    Least hated

    The lowest weighted hate scores, pending further evidence.

      Commune

      Most polarising

      Where the witnesses disagree most violently about how much prosecution the housing market deserves.

        Commune

        Strongest agreement

        Where the witnesses have achieved the rare administrative miracle of broadly agreeing.

          Commune prosecution table

          Vote volume over time

          Daily votes, a seven-day moving average, and the cumulative size of the case file.

          Preparing the deeper evidence…

          Vote-score distribution

          Where visitors place their rage on the 0–100 scale.

          Preparing the deeper evidence…

          Evidence volume versus weighted hate

          Every point is a commune. The upper-right corner is where grievance acquires witnesses.

          Preparing the deeper evidence…
          Methodology

          Home Hate methodology

          The statistics are designed to stop tiny samples from seizing control of the prosecution while keeping every submitted vote visible in the raw figures.

          Weighted average

          Commune and canton rankings use a Bayesian-style weighted average with a prior weight of 5 votes. Results with few votes are pulled toward the national average; results with many votes are barely adjusted.

          weighted = (votes × local average + 5 × national average) ÷ (votes + 5)

          Uncertainty penalty and allowance

          The two verdict cards add a statistical safety margin based on vote count and disagreement. Sparse or divided evidence produces a larger correction; numerous consistent votes produce a smaller one.

          Minimum-vote thresholds

          Polarisation and agreement rankings only include places with at least 10 votes, preventing one eccentric witness from being promoted to a national schism.

          Geographic aggregation

          Commune results use individual votes submitted for that commune. Canton results combine all valid votes from communes in that canton. The national average and median use every valid vote directly.

          Rounding and display

          Calculations and rankings use full precision. Values are rounded only when displayed, so two locations are not declared equal merely because the interface has run out of decimal places.