r/FORScan
FORScan is a software scanner for Ford, Mazda, Lincoln and Mercury vehicles
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FORScan is a software scanner for Ford, Mazda, Lincoln and Mercury vehicles, designed to work over ELM327 and J2534 Pass-Thru compatible adapters. This is NOT an Official FORScan support channel.
For example, FORScan can detect modules which are not visible for regular OBD2 scanners, can show you trouble codes which are never displayed by OBD2 scanners, can show you PIDs which are not supported by any OBD2 scanner, run specific tests and service procedures. In other words, FORScan can do thi...
1,763
September 17, 2017
public
all_ads
Total Submissions
389
Total Comments
1,028
Earliest Submission
November 4, 2019
Earliest Comment
November 5, 2019
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 | 158 | 129,453 | 2136.8 | 1.1 | 1979.56 | |
| #2 | 33 | 37,057 | 446.3 | 0.3 | 1444.33 | |
| #3 | 37 | 45,482 | 500.4 | 0.4 | 1319.43 | |
| #4 | 60 | 100,188 | 811.5 | 0.8 | 971.31 | |
| #5 | 87 | 150,266 | 1176.6 | 1.3 | 939.04 | |
| #6 | 40 | 92,799 | 541.0 | 0.8 | 699.10 | |
| #7 | 86 | 315,518 | 1163.1 | 2.6 | 442.08 | |
| #8 | 38 | 161,206 | 513.9 | 1.3 | 382.32 | |
| #9 | 208 | 1,042,247 | 2813.1 | 8.7 | 323.68 | |
| #10 | 73 | 397,908 | 987.3 | 3.3 | 297.55 | |
| #11 | 44 | 260,158 | 595.1 | 2.2 | 274.31 | |
| #12 | 70 | 432,761 | 946.7 | 3.6 | 262.35 | |
| #13 | 34 | 215,090 | 459.8 | 1.8 | 256.38 | |
| #14 | 265 | 1,745,390 | 3583.9 | 14.6 | 246.25 | |
| #15 | 39 | 400,203 | 527.4 | 3.3 | 158.05 | |
| #16 | 73 | 860,741 | 987.3 | 7.2 | 137.55 | |
| #17 | 59 | 713,906 | 797.9 | 6.0 | 134.04 | |
| #18 | 32 | 408,568 | 432.8 | 3.4 | 127.03 | |
| #19 | 53 | 687,828 | 716.8 | 5.7 | 124.97 | |
| #20 | 30 | 414,364 | 405.7 | 3.5 | 117.43 | |
| #21 | 32 | 471,228 | 432.8 | 3.9 | 110.14 | |
| #22 | 31 | 509,320 | 419.3 | 4.2 | 98.72 | |
| #23 | 78 | 1,281,876 | 1054.9 | 10.7 | 98.69 | |
| #24 | 85 | 1,443,502 | 1149.6 | 12.0 | 95.50 | |
| #25 | 69 | 1,178,779 | 933.2 | 9.8 | 94.94 | |
| #26 | 73 | 1,304,518 | 987.3 | 10.9 | 90.76 | |
| #27 | 150 | 2,712,806 | 2028.6 | 22.6 | 89.68 | |
| #28 | 59 | 1,089,445 | 797.9 | 9.1 | 87.84 | |
| #29 | 32 | 594,118 | 432.8 | 5.0 | 87.36 | |
| #30 | 61 | 1,151,584 | 825.0 | 9.6 | 85.91 | |
| #31 | 36 | 695,687 | 486.9 | 5.8 | 83.93 | |
| #32 | 61 | 1,451,343 | 825.0 | 12.1 | 68.17 | |
| #33 | 31 | 895,196 | 419.3 | 7.5 | 56.17 | |
| #34 | 52 | 1,600,656 | 703.3 | 13.3 | 52.69 | |
| #35 | 41 | 1,320,799 | 554.5 | 11.0 | 50.35 | |
| #36 | 50 | 1,728,286 | 676.2 | 14.4 | 46.92 | |
| #37 | 92 | 3,302,297 | 1244.2 | 27.5 | 45.19 | |
| #38 | 32 | 1,149,679 | 432.8 | 9.6 | 45.14 | |
| #39 | 252 | 9,218,991 | 3408.1 | 76.9 | 44.33 | |
| #40 | 122 | 4,764,626 | 1650.0 | 39.7 | 41.53 | |
| #41 | 41 | 1,864,033 | 554.5 | 15.5 | 35.67 | |
| #42 | 41 | 1,887,007 | 554.5 | 15.7 | 35.24 | |
| #43 | 58 | 2,954,871 | 784.4 | 24.6 | 31.84 | |
| #44 | 72 | 3,689,562 | 973.7 | 30.8 | 31.65 | |
| #45 | 49 | 2,580,563 | 662.7 | 21.5 | 30.80 | |
| #46 | 83 | 4,464,832 | 1122.5 | 37.2 | 30.15 | |
| #47 | 74 | 4,254,490 | 1000.8 | 35.5 | 28.21 | |
| #48 | 128 | 7,946,469 | 1731.1 | 66.3 | 26.13 | |
| #49 | 50 | 3,234,520 | 676.2 | 27.0 | 25.07 | |
| #50 | 33 | 2,392,451 | 446.3 | 19.9 | 22.37 |