Newsgroups: can.general Path: utzoo!lsuc!dave From: dave@lsuc.uucp (David Sherman) Subject: Re: income tax: what's this nonsense? Date: Thu, 30-Mar-89 22:17:52 EST Summary: one can fight Revenue Canada Message-ID: <1989Mar30.221800.2894@lsuc.uucp> Distribution: can References: <144@mindlink.UUCP> Organization: Law Society of Upper Canada, Toronto In article <144@mindlink.UUCP> a283@mindlink.UUCP (Steve Miller) writes: >Yes I agree! Why don't we all just send in blank signed returns and let their >computer assess what is owed to whom. In the end it's up to them anyway and if >you disagree it doesn't matter since they can just take your money without a >court order. This is utterly and fundamentally misleading. While it is true that garnishment of bank accounts by Revenue Canada requires no court order if an assessment has been issued and the time for filing a notice of objection has expired, there are many many steps you can take long before that stage is reached. 1. You can have your say (on paper) when filing your return. 2. You may send in additional information at any time. 3. You may meet with District Taxation Office representatives to discuss your return. 4. You will, as a matter of departmental policy, be contacted before a reassessment is issued and be given a chance to state your case. 5. You can file a Notice of Objection to any assessment or reassessment. 6. You can state your case to independent Appeals Officers who deal with every Notice of Objection filed. 7. You can take the case to the Tax Court of Canada, which has informal procedures that do not require a lawyer. 8. You can appeal further to the Federal Court of Canada, Trial Division. 9. You can appeal further to the Federal Court of Appeal. 10.You can appeal to the Supreme Court of Canada, if leave to appeal is granted by either that Court or the Federal Court of Appeal. Rather a different picture than the one painted by Mr. Miller. It is not "up to them". David Sherman -- Moderator, mail.yiddish { uunet!attcan att utzoo }!lsuc!dave dave%lsuc@ai.toronto.edu