OLS Regression Results                             
=================================================================================
Dep. Variable:     number O(n+1)-replies   R-squared:                       0.194
Model:                               OLS   Adj. R-squared:                  0.194
Method:                    Least Squares   F-statistic:                 7.311e+05
Date:                   Mon, 22 Jul 2024   Prob (F-statistic):               0.00
Time:                           09:31:51   Log-Likelihood:            -1.0415e+07
No. Observations:                6069971   AIC:                         2.083e+07
Df Residuals:                    6069968   BIC:                         2.083e+07
Df Model:                              2                                         
Covariance Type:               nonrobust                                         
==============================================================================
                 coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          1.1129      0.001   2037.629      0.000       1.112       1.114
upvotes        0.0893      0.001    162.278      0.000       0.088       0.090
downvotes      0.6433      0.001   1168.654      0.000       0.642       0.644
==============================================================================
Omnibus:                  3179849.625   Durbin-Watson:                   1.812
Prob(Omnibus):                  0.000   Jarque-Bera (JB):        138815450.026
Skew:                           1.836   Prob(JB):                         0.00
Kurtosis:                      26.138   Cond. No.                         1.13
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.