Ganin wadannan goma halaye na babban data kafofin da muhimmi takaitar ma daidai lura data, da abin da irin bincike dabarun ne da amfani? Wancan ne, yadda za mu iya koya a lokacin da ba mu tambayoyi, kuma kada ku gudu gwaje-gwajen? Yana iya ba da alama cewa kawai kallon mutane ba su iya kai wa ga m bincike, amma shi ke ba haka al'amarin.
Ina ganin uku main dabarun koyo daga observational data: kirgawa abubuwa, kiyasin kõme, kuma approximating gwaje-gwajen. Zan bayyana kowane daga cikin wadannan hanyoyin, wanda za a iya kira "bincike dabarun" ko "bincike girke-girke" wato zan kwatanta su da misalai. Wadannan dabarun ne ba iri dabam dabam, ko iyakarsa, amma sun yi kama mai yawa da bincike tare observational data.
To foreshadow da'awar cewa bi, kirgawa abubuwa ne mafi muhimmanci lokacin da muna empirically adjudicating tsakanin tsinkaya daga daban-daban theories. Kiyasin, kuma musamman nowcasting, zai iya zama da amfani ga manufofin masu. A karshe, babban data qara mu ikon yi causal kimomi daga observational data.