forecasted
2024
33,084
119,924,722,855
Rank↕ | Subreddit↕ | Occurrences in Subreddit | Total Words in Subreddit | Rate in Subreddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|
| #1 | r/AdAddiction | 214 | 127,180 | 1682.7 | 6099.38 |
| #2 | r/u_SmoothDish9750 | 65 | 54,864 | 1184.7 | 4294.54 |
| #3 | r/u_accapitalmarket | 52 | 56,854 | 914.6 | 3315.38 |
| #4 | r/FortuneBI | 85 | 102,495 | 829.3 | 3006.12 |
| #5 | r/Nim2908 | 2,002 | 4,344,118 | 460.9 | 1670.53 |
| #6 | r/financialmodelling | 40 | 346,479 | 115.4 | 418.48 |
| #7 | r/SolarMax | 72 | 653,429 | 110.2 | 399.42 |
| #8 | r/hurricane | 179 | 1,957,321 | 91.5 | 331.50 |
| #9 | r/TropicalWeather | 211 | 2,423,436 | 87.1 | 315.60 |
| #10 | r/ahead_market | 74 | 1,008,165 | 73.4 | 266.07 |
| #11 | r/EarningsCalls | 32 | 457,490 | 69.9 | 253.55 |
| #12 | r/weather | 142 | 2,388,515 | 59.5 | 215.50 |
| #13 | r/meteorology | 61 | 1,093,242 | 55.8 | 202.26 |
| #14 | r/icecoast | 130 | 3,087,550 | 42.1 | 152.62 |
| #15 | r/wmnf | 35 | 963,640 | 36.3 | 131.66 |
| #16 | r/solareclipse | 84 | 2,385,774 | 35.2 | 127.63 |
| #17 | r/mitski | 73 | 2,085,243 | 35.0 | 126.90 |
| #18 | r/COsnow | 61 | 1,780,728 | 34.3 | 124.17 |
| #19 | r/Wallstreetbetsnew | 31 | 930,379 | 33.3 | 120.78 |
| #20 | r/tornado | 150 | 6,313,265 | 23.8 | 86.12 |
| #21 | r/FPandA | 76 | 3,353,995 | 22.7 | 82.14 |
| #22 | r/TradingEdge | 41 | 1,864,898 | 22.0 | 79.69 |
| #23 | r/swingtrading | 30 | 1,664,435 | 18.0 | 65.33 |
| #24 | r/StockInvest | 33 | 1,926,784 | 17.1 | 62.08 |
| #25 | r/WallStreetbetsELITE | 47 | 2,781,309 | 16.9 | 61.25 |
| #26 | r/formuladank | 229 | 13,737,952 | 16.7 | 60.42 |
| #27 | r/ValueInvesting | 143 | 10,816,079 | 13.2 | 47.92 |
| #28 | r/fearofflying | 97 | 7,679,571 | 12.6 | 45.79 |
| #29 | r/Yosemite | 34 | 2,728,317 | 12.5 | 45.17 |
| #30 | r/stocks | 266 | 24,667,670 | 10.8 | 39.09 |
| #31 | r/ufo | 81 | 8,434,393 | 9.6 | 34.81 |
| #32 | r/NVDA_Stock | 41 | 4,352,239 | 9.4 | 34.15 |
| #33 | r/AMD_Stock | 41 | 4,429,869 | 9.3 | 33.55 |
| #34 | r/datascience | 58 | 6,586,537 | 8.8 | 31.92 |
| #35 | r/PowerBI | 50 | 6,378,859 | 7.8 | 28.41 |
| #36 | r/VisitingIceland | 49 | 6,410,254 | 7.6 | 27.71 |
| #37 | r/surfing | 49 | 6,809,088 | 7.2 | 26.09 |
| #38 | r/collapse | 163 | 24,914,887 | 6.5 | 23.71 |
| #39 | r/PrepperIntel | 33 | 5,189,199 | 6.4 | 23.05 |
| #40 | r/pennystocks | 39 | 6,212,359 | 6.3 | 22.76 |
| #41 | r/sailing | 35 | 5,680,164 | 6.2 | 22.34 |
| #42 | r/lawncare | 110 | 18,530,079 | 5.9 | 21.52 |
| #43 | r/StockMarket | 35 | 6,424,550 | 5.4 | 19.75 |
| #44 | r/kroger | 30 | 5,660,547 | 5.3 | 19.21 |
| #45 | r/CanadianInvestor | 30 | 5,737,140 | 5.2 | 18.95 |
| #46 | r/tampa | 45 | 9,269,326 | 4.9 | 17.60 |
| #47 | r/flying | 178 | 37,158,809 | 4.8 | 17.36 |
| #48 | r/skiing | 72 | 15,242,886 | 4.7 | 17.12 |
| #49 | r/newhampshire | 70 | 14,820,047 | 4.7 | 17.12 |
| #50 | r/Reno | 42 | 8,960,152 | 4.7 | 16.99 |