, 3 tweets, 10 min read Read on Twitter
@terra155 @not_my_debt @ContrarCanberra @QcSilbert @aat_gov_au @VicLegalAid @DarrenODonovan @SenatorSiewert @WilkieMP @billshortenmp @Senator_Patrick @ato_gov_au @jeremy_gans Hey Thyra, our DMs are open here & on FB. Feel free to drop us a private msg to discuss specific #RoboDebt queries.

Meantime re ADEX: RHS Customer columns determine LHS columns. Apportioned Actual Income is derived from daily-level PAYG averages per table with yellow highlights.
@terra155 @not_my_debt @ContrarCanberra @QcSilbert @aat_gov_au @VicLegalAid @DarrenODonovan @SenatorSiewert @WilkieMP @billshortenmp @Senator_Patrick @ato_gov_au @jeremy_gans PS In case it helps, here's the #RoboDebt victim's redacted & annotated Employment Information Statement, showing the ATO PAYG match data (unhelpfully unsorted, as sent with the initial compliance intervention letter). This is the source for the daily-level averaging calcs above.
@terra155 @not_my_debt @ContrarCanberra @QcSilbert @aat_gov_au @VicLegalAid @DarrenODonovan @SenatorSiewert @WilkieMP @billshortenmp @Senator_Patrick @ato_gov_au @jeremy_gans BTW, this is an example of an Earnings Apportionment Tool (EAT) schedule per above #RoboDebt case - for Employer M. It provides extra proof of unlawful daily-level averaging over an extended period from raw ATO PAYG match data - as denounced by AAT Members Carney, Treble & Burke.
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