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Recent population studies have shown that the variability Doppler factors canadequately describe blazars as a population. We use the flux density variationsfound within the extensive radio multi-wavelength datasets of the F-GAMMAprogram, a total of 10 frequencies from 2.64 up to 142.33 GHz, in order toestimate the variability Doppler factors for 58 $\gamma$-ray bright sources,for 20 of which no variability Doppler factor has been estimated before. Weemploy specifically designed algorithms in order to obtain a model for eachflare at each frequency. We then identify each event and track its evolutionthrough all the available frequencies for each source. This approach allows usto distinguish significant events producing flares from stochastic variabilityin blazar jets. It also allows us to effectively constrain the variabilitybrightness temperature and hence the variability Doppler factor as well asprovide error estimates. Our method can produce the most accurate (16\% erroron average) estimates in the literature to date.

F-GAMMA: Variability Doppler factors of blazars from multiwavelength monitoring