Gyronomics.
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Reproduce the Index

The same file, assumptions and arithmetic. Download a specific dataset state and check it independently of the website.

Compare two archived datasets by year

Historical payroll under review: payments and before-tax comparison

Take the data with you

Version 2026.10.10-monthly-bulletin · 51 years · two gyro definitions.

Period gyros: without composition rescaling. Classic gyros: using the model's common reference product. The period price can itself be estimated or interpolated.

Exact citation: daily version and archive SHA-256.

111be5b6d29bb2823d1c85a12489f0b4382c869e4d01e3c33fd1b0c69dbd3d14

Verify in three steps

  1. Download all five files into one folder.
  2. With Node 24 or later, run this command in that folder. No packages or internet connection are needed.
  3. Read the per-year results. A mismatch in a checked field stops verification with an error.
node reproduce.mjs bundle.json data.csv manifest.json 111be5b6d29bb2823d1c85a12489f0b4382c869e4d01e3c33fd1b0c69dbd3d14

What is verified

File integrity, CSV/JSON agreement, original gross-wage conversion, contributions and annualisation convention, product composition, sequential rounding and both indices. Recorded observation adjustments and period-index price-bound propagation are also checked.

What remains outside

The complete price pipeline from original documents, source certification and a full historical payroll calendar. The period price is an input to the independent verifier. Composition weights are assumptions; ranges are not probabilities. A successful run establishes arithmetic consistency, not that the model is the only valid interpretation.

From the result to the calculation

Monthly equivalent = gross × (1 − deductions) × 14 / 12, rounded to cents only at the end. Gross and deductions are twelve-month means. Drachma conversion and the intermediate amount retain full precision. Income tax is not deducted. Lower-grade early evidence cells remain identified.

The full classic-conversion formula

Equivalence = 0.7 × min(grams / 88, 1.35) + 0.3 × (0.65 + 0.35 × fries share). Equivalence, its reciprocal factor and the classic price are successively rounded to 3 decimals. The wage is divided by that price and the quotient rounded to an integer. Historical meat weights and changes in composition are model assumptions, not a series of market measurements. The assumed peak and decline in portion size need verification. The present-day weight defines the reference product. The era price refers to the wrap sold at the time; the classic price and weight-adjusted index depend on these assumptions.

Published baseline series. Open a year for sources, estimates and the price calculation path.
YearMonthly equivalent €Period price €Classic price €PeriodClassic
2026919.724.34.3214214
2025876.774.174.103210214
2024821.463.723.605221228
2023766.953.132.986245257
2022698.892.852.679245261
2021651.262.52.315261281
2020640.752.312.109277304
2019632.892.32.07275306
2018574.362.251.996255288
2017574.362.251.969255292
2016575.782.21.899262303
2015577.782.151.83269316
2014574.362.051.757280327
2013570.942.051.769279323
2012597.782.051.781292336
2011728.7421.75364416
2010724.771.91.674381433
2009712.171.781.591400448
2008673.911.711.551394435
2007634.391.611.48394429
2006601.721.531.427393422
2005567.091.451.373391413
2004535.731.381.328388403
2003509.61.311.28389398
2002485.191.241.23391394
2001460.661.171.179394391
2000445.941.0871.114410400
1999427.790.971.021441419
1998413.070.8220.898503460
1997391.980.7540.848520462
1996363.520.6940.812524448
1995336.540.6180.747545451
1994308.090.5390.679572454
1993273.550.4760.621575440
1992249.040.4060.554613450
1991224.340.340.481660466
1990197.650.2750.409719483
1989169.010.220.335768505
1988142.360.1940.299734476
1987123.110.1720.272716453
1986111.520.1490.242748461
1985100.880.1220.2827504
198485.520.1030.174830491
198367.960.0840.146809465
198260.280.0710.127849475
198139.170.060.108653363
198031.470.0490.091642346
197925.930.0390.075665346
197822.440.0330.064680351
197718.180.0280.056649325
197615.70.0250.05628314

Reproduce your selected export

In the data table, the ZIP download gathers the CSV, companion JSON, pinned data, verification program and instructions. Extract the ZIP into one folder and run the command below. Alternatively, keep the separate CSV and JSON downloads together. The JSON records the period, unit, scenario, ordering and exact files needed to repeat the calculation.

Choose a view and download the reproduction package
  1. For separate downloads, download both files with the same table selections. Save them as selected.csv and companion.json in one folder.
  2. In companion.json, find dataset.bundle_url, dataset.manifest_url and verifier.url. Download those three exact files into the same folder, even if the website has since published a newer release.
  3. With Node 24 or later, run the command below. Once the files are downloaded, verification needs no network, packages or repository access.
node reproduce-data-view-v1.mjs companion.json selected.csv bundle.json manifest.json

Success means the exact same CSV was reconstructed: amounts, ranges, alternative scenarios, row order, labels and references. The verifier, data and export checksums are also checked. The period filters rows; it does not change the start of the counterfactual scenarios.

This check covers the selected data-table export. It does not certify historical sources or cover personal calculations or a different scenario start. A changed or incompatible file stops verification with an error.

Current replay program: selected-data-view-v1. For an older export, use the program identified by its own JSON.

Reproduce a personal budget or Reverse calculation

Save calculation JSON keeps the inputs, results and calculation version. Reverse includes every year under the selected target and wage basis. A personal budget also preserves optional delivery costs, price comparison and income when entered. The PNG image is a summary; reproduction requires the JSON.

  1. Save the JSON as scenario.json. Download the program from that file’s verifier.url as reproduce-personal-v1.mjs.
  2. If dataset contains an archive, download dataset.bundle_url and dataset.manifest_url as bundle.json and manifest.json. This applies to Reverse and a budget using the reference price. If dataset is null, prices are personal assumptions and no Index dataset is needed.
  3. With Node 24 or later, run the relevant command in that folder. Verification works offline after downloading.

Reverse or a budget using the reference price:

node reproduce-personal-v1.mjs scenario.json bundle.json manifest.json

Budget using your own price:

node reproduce-personal-v1.mjs scenario.json

The verifier recalculates results and checks file fingerprints. It does not certify personal inputs, original historical sources or the merits of an economic policy. Reverse is a mathematical purchasing-power equivalent. The image link opens the current application; the JSON identifies the saved calculation.

Current program: personal-calculation-v1. For an older calculation, use verifier.url in its saved JSON.

Continue a saved calculation

In the tool where you saved the file, choose Load calculation JSON. Reproduction JSON files are supported for Reverse, personal budgets, personal wages and future scenarios. Legacy personal JSON, CSV companion JSON and PNG images are not import files.

  1. Choose the file on your device. It is not uploaded to the Gyronomics database. Where needed, only the pinned public archive data is downloaded.
  2. Validation checks the format, fingerprints and arithmetic. Before anything changes, you see the saved inputs, results and dataset version.
  3. Apply inputs to the current calculation transfers the selections into the tool. The new calculation uses current data and can differ from the saved result. Read the preview note for treatment of an old reference price or a different scenario.

File limit: 512 KiB. Incompatible or changed files do not alter current selections. Inputs unsupported by the current tool are not silently truncated. Passing an arithmetic check does not certify personal assumptions.

Independent verification of the new exports

Save the JSON as scenario.json and download dataset.bundle_url, dataset.manifest_url and verifier.url from that file. In the same folder, with Node 24 or later, run the relevant command. Saved values and assumptions are recalculated offline after download.

Personal wage:

node reproduce-salary-v1.mjs scenario.json bundle.json manifest.json
salary-calculation-v1

Future scenario:

node reproduce-scenario-v1.mjs scenario.json bundle.json manifest.json
future-scenario-v1

These links point to the current programs. For an older file, follow its own verifier.url. Future scenarios express assumptions, not a forecast or policy recommendation.

Archive of exact dataset states

Every archive stays at the same address. There is still one dataset release per day; changed contents add another immutable artifact to that daily release. Keep its SHA-256 for exact reproduction. Archival coverage starts with the entries below. Earlier complete datasets have not been reconstructed from historical release notes.

2026-10-10 · 2026.10.10-monthly-bulletin · 111be5b6d29b111be5b6d29bb2823d1c85a12489f0b4382c869e4d01e3c33fd1b0c69dbd3d14
2026-10-09 · 2026.10.09-what-holds · cc5338541680cc533854168067511a05cf8ad97ccce55af9d7b86b3d529cde473bfe473752e0
2026-10-05 · 2026.10.05-governments · 9257fbc0db259257fbc0db25e3c989f6c61df96a4310c62fdfd4c2c913d8331a37788536ffa7
2026-10-04 · 2026.10.04-gyro-eur · 80f380a52a8f80f380a52a8f88ee9dfe6ec5676682e524160c2925cddcd5ac77c0aacc431fc8
2026-09-29 · 2026.09.29-gross-domestic-pita · a6e6882fa6d3a6e6882fa6d3539823ca77e38b70d84d1ffa6e782ab9365fcb80f9ace4d679fe
2026-09-28 · 2026.09.28-1984-press-followup · a9d30e64fcf0a9d30e64fcf0b4300ac0b57c0061a39c2424d2266b05b411066ea222002e26cf
2026-09-27 · 2026.09.27-payroll-readiness · 855b97903e0d855b97903e0d30b3f7727359abe227a9454dacfc26f2c38d045f2e47f3fe9619
2026-09-27 · 2026.09.27-payroll-readiness · 54981a31d10654981a31d106275f4b9c62ef7a48da133a18039cc6d08a162e74ae59a2dc3aa6
2026-09-27 · 2026.09.27-payroll-readiness · 8e3951533d598e3951533d59721ade3d42a5a9781a6abf0bd7ab50ebda19b2479e70b1dc3133
2026-09-27 · 2026.09.27-payroll-readiness · 7c1e1cfd8a4b7c1e1cfd8a4b08be1d6acbc497a6b5d5cfb2557d2e4a60ec3bb1277976cd2870
2026-09-27 · 2026.09.27-payroll-readiness · 3791d296d0b23791d296d0b2ee7090d242a23be8d008a15c121f2c8468a76afc6ec1bf857d63
2026-09-27 · 2026.09.27-payroll-readiness · cb9e0a16b8f3cb9e0a16b8f3cd43534aa97d66bd70e66b83ecdfa41a9da25e0d9d73d7fcc2f5
2026-09-27 · 2026.09.27-payroll-readiness · 9dbbc11d14809dbbc11d14803710961ff15dc5f265a78e3e24ed5737678eeecd29921040c5df
2026-09-27 · 2026.09.27-payroll-readiness · 056b54aa0183056b54aa018348cd8006f836d7de5faf6ee2c1c67ea5c208c6a1c1c842619e11
2026-09-27 · 2026.09.27-payroll-readiness · 28d7f1fed33228d7f1fed332345ac77209f803e1e6301ea0a31a31c5613c1a1240c2f4daeb4d
2026-09-26 · 2026.09.26-mean-wage-source · 7fd6cd0ca5da7fd6cd0ca5da810cb19b2633c24133da706881e2f8086656d723514305a2c73f
2026-09-26 · 2026.09.26-mean-wage-source · 5ca2d1a961b35ca2d1a961b30a6dc46c7fa62ca291e6e0d8ae60d9a510a6ebdbc93b7b66e6fc
2026-09-25 · 2026.09.25-september-collection · 3186dece22573186dece2257193ef435d8b19ce9a657785ac560c592025efc125bd03b6d0161
2026-09-25 · 2026.09.25-september-collection · 8602614abcde8602614abcde3eac2794a0e602f2e5049405302676709bb320221bf14e62d04e
2026-09-24 · 2026.09.24-reader-corrections · 239d5d94cdcf239d5d94cdcffaf97b2144ee236608bfb42ec0581ab705a63f72668b7bf9e44f
2026-09-21 · 2026.09.21-short-book · 91db3a44e4c991db3a44e4c9ce5350602cbf1e5c9fcddc085bfda2fcd244b1b6e7d3f619404f
2026-09-19 · 2026.09.19-book · 5f09e583ab875f09e583ab87ac396670c2c482a80bc1da623cd062dc00ef214bf5f3f3963996
2026-09-16 · 2026.09.16-reproducible-views · ab52051122d2ab52051122d2f39ad5236303c31d90b9040ae3408c960a5cce7baa29da9146fe
2026-09-15 · 2026.09.15-historical-evidence · 7443a07f4ef57443a07f4ef5b40617bd9f7618f55c0642f6e3e03fafb084c3184b32677f9bce
2026-09-14 · 2026.09.14-historical-press · be99b2449ad1be99b2449ad184caef63329b44ddd63893654bc389929ac25823a5d92ee86f64
2026-09-14 · 2026.09.14-historical-press · e18122f6f27be18122f6f27bd4f94901738b5c4b441188efdfa801b6ebfa808b65d85a7a6cf2
2026-09-14 · 2026.09.14-historical-press · cd162eed7800cd162eed78008d5ecfdc372b82369485fb1e9f09f1eb5252f4370dc9fd5b63b8
2026-09-14 · 2026.09.14-historical-press · af0fc17ff1ebaf0fc17ff1ebcf4337d7b4c8950f2d1839963e31108086289989c7d9d8e18293
2026-09-13 · 2026.09.13-payroll-assumptions · b93d987a2603b93d987a260380d1707d2c8f22338d5f31a29dc04207c3028dae286ce25450cf
2026-09-13 · 2026.09.13-payroll-assumptions · 3e358c3bf1923e358c3bf192e0477e0e6899fac5d1c29577218a18875b7791f89dd17eb2216f
2026-09-13 · 2026.09.13-payroll-assumptions · 980789522a4a980789522a4ac15cccf1aa36d2798efbff4a90a78eeae9679089f5cc9fcd6f43
2026-09-12 · 2026.09.12-payroll-review · 259532fa0c05259532fa0c051de2d663c4acb1273d89106f33b56dd2820d452cae418cc345c1

Machine-readable archive catalogue (JSON)

The Index measures purchasing power in one product. It does not replace CPI or a comprehensive cost-of-living measure.