General Information
As of February 8, 2024
r/leangains
Leangains - for practitioners of Martin Berkhan's program
en
LeanGains is a specific program based on Martin Berkhan's methodology of lifting heavy weights reverse pyramid style, focusing on protein as the main macro-nutrient, and intermittent fasting (IF). It is body recomposition - losing fat and gaining muscle/strength the most effective way.
All about LeanGains, the intermittent fasting and macro cycling methodology, which combines daily 16 hour fast/8 hour feed windows with weight lifting. You can also see r/fasting for finding out more about IF in general. Feel free to post links, questions or your own experiences with leangains.
[L...
275,801
January 28, 2011
public
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Total Submissions
44,052
Total Comments
538,250
Earliest Submission
January 28, 2011
Earliest Comment
January 28, 2011
Metrics
Activity Over Time
Submission Flags
Comment Flags
Submission Score Distribution
Comment Score Distribution
Title Length
Submission Text Length
Comments per Submission
Most Distinctive Words
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 338 | 35,456 | 434.1 | 0.3 | 1468.33 | |
| #2 | 654 | 129,184 | 840.0 | 1.1 | 779.77 | |
| #3 | 78 | 15,974 | 100.2 | 0.1 | 752.10 | |
| #4 | 92 | 25,257 | 118.2 | 0.2 | 561.05 | |
| #5 | 165 | 46,314 | 211.9 | 0.4 | 548.74 | |
| #6 | 129 | 37,289 | 165.7 | 0.3 | 532.85 | |
| #7 | 93 | 27,433 | 119.4 | 0.2 | 522.16 | |
| #8 | 63 | 19,022 | 80.9 | 0.2 | 510.13 | |
| #9 | 56 | 18,211 | 71.9 | 0.2 | 473.64 | |
| #10 | 48 | 16,121 | 61.6 | 0.1 | 458.61 | |
| #11 | 305 | 106,584 | 391.7 | 0.9 | 440.76 | |
| #12 | 173 | 62,717 | 222.2 | 0.5 | 424.87 | |
| #13 | 234 | 86,045 | 300.5 | 0.7 | 418.88 | |
| #14 | 450 | 180,454 | 578.0 | 1.5 | 384.10 | |
| #15 | 77 | 33,392 | 98.9 | 0.3 | 355.18 | |
| #16 | 386 | 170,094 | 495.8 | 1.4 | 349.54 | |
| #17 | 291 | 130,091 | 373.7 | 1.1 | 344.54 | |
| #18 | 157 | 72,252 | 201.6 | 0.6 | 334.69 | |
| #19 | 361 | 166,641 | 463.7 | 1.4 | 333.67 | |
| #20 | 58 | 27,108 | 74.5 | 0.2 | 329.55 | |
| #21 | 160 | 81,217 | 205.5 | 0.7 | 303.44 | |
| #22 | 38 | 19,422 | 48.8 | 0.2 | 301.36 | |
| #23 | 53 | 27,650 | 68.1 | 0.2 | 295.24 | |
| #24 | 584 | 306,113 | 750.1 | 2.6 | 293.85 | |
| #25 | 50 | 26,577 | 64.2 | 0.2 | 289.77 | |
| #26 | 43 | 22,998 | 55.2 | 0.2 | 287.99 | |
| #27 | 166 | 101,781 | 213.2 | 0.8 | 251.21 | |
| #28 | 1,355 | 833,798 | 1740.3 | 7.0 | 250.31 | |
| #29 | 88 | 55,755 | 113.0 | 0.5 | 243.11 | |
| #30 | 33 | 21,016 | 42.4 | 0.2 | 241.86 | |
| #31 | 4,237 | 2,790,710 | 5441.8 | 23.3 | 233.85 | |
| #32 | 35 | 23,409 | 45.0 | 0.2 | 230.29 | |
| #33 | 137 | 91,676 | 176.0 | 0.8 | 230.18 | |
| #34 | 86 | 59,505 | 110.5 | 0.5 | 222.61 | |
| #35 | 72 | 50,836 | 92.5 | 0.4 | 218.15 | |
| #36 | 3,136 | 2,242,752 | 4027.8 | 18.7 | 215.37 | |
| #37 | 576 | 419,805 | 739.8 | 3.5 | 211.33 | |
| #38 | 30 | 21,891 | 38.5 | 0.2 | 211.08 | |
| #39 | 128 | 96,001 | 164.4 | 0.8 | 205.37 | |
| #40 | 1,091 | 822,921 | 1401.2 | 6.9 | 204.20 | |
| #41 | 88 | 72,150 | 113.0 | 0.6 | 187.86 | |
| #42 | 1,035 | 873,236 | 1329.3 | 7.3 | 182.56 | |
| #43 | 39 | 32,969 | 50.1 | 0.3 | 182.20 | |
| #44 | 3,719 | 3,280,844 | 4776.5 | 27.4 | 174.60 | |
| #45 | 37 | 32,762 | 47.5 | 0.3 | 173.95 | |
| #46 | 93 | 84,594 | 119.4 | 0.7 | 169.33 | |
| #47 | 153 | 150,383 | 196.5 | 1.3 | 156.71 | |
| #48 | 299 | 294,570 | 384.0 | 2.5 | 156.34 | |
| #49 | 819 | 824,467 | 1051.9 | 6.9 | 153.01 | |
| #50 | 1,460 | 1,484,436 | 1875.2 | 12.4 | 151.49 |