Additional benchmarks on the same dataset:
uncompressed - 19'291'709'440
bzip2 -9 - 3'491'493'993 (sanity check)
zstd -16 --long - 593'915'849
zstd -16 --long=31 - 122'909'756 (requires equivalent argument in decompressor due to needing ~4GB RAM)
zstd -19 --long - 505'728'419
zstd -19 --long=31 - 106'601'594 (requires equivalent argument in decompressor)
zstd --ultra -22 - 240'330'522
zstd --ultra -22 --long=31 - 64'899'008 (requires equivalent argument in decompressor)
rar a -m5 -md4g -s -mt8 - 64'837'044
As you notice my sanity check actually has a slightly different size. Not sure why. The benchmark is a bit underspecified because new perl versions were released in the interim. I used all releases up to perl-5.37.1 to get to the correct number of files. Just treat all numbers to have about 2% uncertainty to account for this difference.
I can't provide compression/decompression times, but the --long or --long=31 arguments should not have major impact on speed, they mostly impact used memory. --long=31 requires setting the same in the decompressor, making that option mostly useful for internal use, not archives meant for public consumption.
As you can see, the benchmark chosen by the author mostly comes down to finding similar data that's far away. I wonder if bzip3 can do this better than other algorithms (especially in less memory) or simply chose default parameters that use more memory.
Edit: added more benchmarks