Do parents of two boys or two girls try for a third child more often?
Independent rebuild
The study said parents whose first two children were both boys or both girls were 6.8 points more likely to have a third. The Lab retraced it: ✓ same result. This can still be challenged.
Whose code is this?
Our own small program, run on a public copy of the paper's data: the same 254,654 married women. It isn't the authors' code. Nobody has run it on the real data yet, us included. It was tested only on made-up data with a known answer, and the Lab runs it once forecasting closes.
See the codeEconomists use this nudge to a bigger family as a natural experiment, to measure how children change their parents' working lives.
We test one thing: does this code and data give this number? That's not the same as the science being right. The forecast price never changes the verdict.
See the proof
Counts as holding up
Where the number comes fromdifference (2) - (1) 0.068 (0.002)Table 3 (continued), married women, 1980 census, of the working paper (NBER 5778), read from the page imageThe exact claim as posted
Do parents of two boys or two girls go on to have a third child more often? A 1980 US census study found 6.8 points more
Angrist and Evans (American Economic Review, 1998) looked at married women aged 21 to 35 in the 1980 US census with two or more children. When the first two children were both boys or both girls, 41.4% went on to have another child, against 34.6% when they were one boy and one girl: 6.8 percentage points more. This runs our own small program on a public copy of the paper's 254,654 women. The rebuild isn't the authors' code, so a mismatch ends as inconclusive.
Do parents of two boys or two girls try for a third child more often?
- Measured in
- share of families, 0 to 1
- Paper says
- 0.068
- Counts if
- 0.063 to 0.073
- Lab got
- 0.0675
This can still be challenged
Paper said 0.068. We got 0.0675.
The code and data produced the same result. That doesn't prove the study's method is right.
This slip is the Lab's .
✓ Verified on NEAR. See the contract's history
- People forecast
- Forecasting ends
- The Lab retraces it
- Verdict posted, open to challenge
- Winners collect
What we didn't check
- Whether the sample was fair or large enough.
- Whether test data leaked into training or tuning.
- Whether the result holds on new data.
- Whether the study's method was the right one for its question.
- Why parents do it. The study only counts births.
- Whether it still holds today. The data are from 1980.
Reading how the odds moved…
Watch the Lab work
Result posted, can still be challengedNo live log was kept for this run. Its receipt below has the log hash and the end of the output.
The evidence
See the full receiptHow much evidence is behind this?
Each step is a tougher test. Only the first one decides who wins the market.
- 1. ✓
The Lab's retrace of the code and data named in the claim
The Lab retraced the code and data and got a number inside the claim's range. YES wins.
- 2. –
Stress test: does the number depend on luck?
Fetching the extra runs…
- 3. –
Rebuilt from the description (experimental)
Fetching the AI's rebuild…
Coming next: a data-leakage check, for the same rows in training and test data, and a maths check on the statistics a paper reports. Neither has run on this claim.
Even all three steps can't prove the science is true. They show how well this result stands up to checking.
Verified
Your browser just re-checked these itself, so you don't have to trust this site.
Checking…
What the Lab retraces
- Source
- https://doi.org/10.3386/w5778
J. D. Angrist and W. N. Evans; rebuild by the RERUN project, Rebuild: MIT. Data: GPL (R package AER), fetched from Rdatasets, not redistributed. - Code, at this exact version
- https://github.com/Maveri-Q/rerun-rebuilds
commit 6b8ba2d5f26fdf4837a71dfffb43b175586424d3 - Commands
- python3.11
$ python third-child-1998/rebuild.py Fertility.csv > rerun_output.txt && cat rerun_output.txt - Where the result is read
- rerun_output.txt using regex same_sex_difference (-?[0-9.]+)
- Data files
- Fertility.csv
fingerprint ca9be592b79dddbc2f49ff80f45d0dbe31aac4afb57ff88dec57376c3f3e3452 - Limits
- 2 CPU, 4 GB, 15 minutes
- 3a87812133ada0a5f6a7b1cf3ad2a15907d1945b8fdbe683e392903c02a9e5c3
Show the claim exactly as stored on the blockchain
{"artifact":{"commit":"6b8ba2d5f26fdf4837a71dfffb43b175586424d3","data":[{"path":"Fertility.csv","sha256":"ca9be592b79dddbc2f49ff80f45d0dbe31aac4afb57ff88dec57376c3f3e3452","url":"https://vincentarelbundock.github.io/Rdatasets/csv/AER/Fertility.csv"}],"entrypoint":"python third-child-1998/rebuild.py Fertility.csv > rerun_output.txt && cat rerun_output.txt","output":{"extractor":{"expr":"same_sex_difference (-?[0-9.]+)","type":"regex"},"path":"rerun_output.txt"},"repo_url":"https://github.com/Maveri-Q/rerun-rebuilds","runtime":"python3.11","setup":[]},"metric":{"comparison":"within_tolerance","name":"extra share having another child when the first two are the same sex","reported_value":"0.068","tolerance":{"type":"abs","value":"0.005"}},"private_data":null,"resources":{"cpu":2,"max_minutes":15,"mem_gb":4},"source":{"authors":"J. D. Angrist and W. N. Evans; rebuild by the RERUN project","doi":"10.3386/w5778","license":"Rebuild: MIT. Data: GPL (R package AER), fetched from Rdatasets, not redistributed.","type":"paper","url":"https://doi.org/10.3386/w5778"},"statement":"Angrist and Evans (American Economic Review, 1998) looked at married women aged 21 to 35 in the 1980 US census with two or more children. When the first two children were both boys or both girls, 41.4% went on to have another child, against 34.6% when they were one boy and one girl: 6.8 percentage points more. This runs our own small program on a public copy of the paper's 254,654 women. The rebuild isn't the authors' code, so a mismatch ends as inconclusive.","title":"Do parents of two boys or two girls go on to have a third child more often? A 1980 US census study found 6.8 points more","version":1}Community notes
Notes are people's own words, kept on the blockchain. They never change a verdict, and the Lab's AI never reads them. Posting costs a little NEAR for storage, and what isn't used comes back.