Poland · Sadul
- Recorded rule
- greedy
- Final alternative
- MES + Add1
- Winner similarity
- 33.3%
- Official winners replaced
- 50.0%
- Budget removed / added
- 49.9% / 11.6%
- Representation change
- +5.0 pp
- Voters gaining / losing
- 9 / 3
- Avg. choices change
- -0.40
Pabulib analysis
Explore how official participatory budgeting outcomes represent voters, use available budgets, and compare with alternative allocation rules.
1054 of 2015 current datasets can currently be analysed. Pabustats supports approval ballots with recorded winners.
selected values. Alternative allocations are computed with the maintained Pabutools rule engine, and Pabulib then derives the comparison indicators shown here. If you find an error or an unexpected result, please let us know.
Rule sensitivity
MES iterated with 1% increases of the virtual budget until the outcome is exhaustive or ceases to fit. Positive representation changes favour the alternative outcome.
Showing 13 cached comparisons from 1049 eligible datasets.
Cannot see the dataset you are interested in? Comparisons are loaded from cache, so a dataset appears here only after its result has been calculated. Select a dataset below to calculate it now.
|
Warszawa · 2017
Poland · Sadul
|
greedy | MES + Add1 | 33.3% | 50.0% | 49.9% / 11.6% | +5.0 pp | 9 / 3 | -0.40 |
|
Gdynia · 2022
Poland · Kamienna Góra | large
|
greedy-no-skip | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Gdynia · 2022
Poland · Kamienna Góra | small
|
greedy-no-skip | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Olsztyn · 2027
Poland · Brzeziny
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Olsztyn · 2027
Poland · Kętrzyńskiego
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Olsztyn · 2027
Poland · Zielona Górka
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2017
Poland · Nadwiśle
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2017
Poland · Plac Wojska Polskiego
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2018
Poland · Pole Mokotowskie
|
greedy-threshold | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2018
Poland · Przyczółek Grochowski
|
greedy-threshold | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2018
Poland · Sadul
|
greedy-threshold | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2019
Poland · Marysin Wawerski Południowy
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
|
Warszawa · 2019
Poland · Sadul
|
greedy | MES + Add1 | 100.0% | 0.0% | 0.0% / 0.0% | +0.0 pp | 0 / 0 | +0.00 |
Poland · Sadul
Poland · Kamienna Góra | large
Poland · Kamienna Góra | small
Poland · Brzeziny
Poland · Kętrzyńskiego
Poland · Zielona Górka
Poland · Nadwiśle
Poland · Plac Wojska Polskiego
Poland · Pole Mokotowskie
Poland · Przyczółek Grochowski
Poland · Sadul
Poland · Marysin Wawerski Południowy
Poland · Sadul
Open a dataset to inspect its projects and source data in Preview.