Prop13 Subsidy Mapping Project: Difference between revisions

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[[File:Equity-Mapping-Project-tweets-2016.jpg|RTENOTITLE]]
 
see also,
 
''' thread 5 Sep 2016:  [https://twitter.com/allafarce/status/772842611426099200 https://twitter.com/allafarce/status/772842611426099200]'''
 
[https://twitter.com/allafarce '''Dave Guarino'''‏&nbsp;@'''allafarce''']<br/> Has anyone already done a property-level view of Prop 13 assessed/market values? Seems like data is there. [https://twitter.com/kimmaicutler <s>@</s>'''kimmaicutler'''] [https://twitter.com/markasaurus <s>@</s>'''markasaurus''']<br/> [https://twitter.com/allafarce/status/772842611426099200 https://twitter.com/allafarce/status/772842611426099200]
 
Kim-Mai Cutler‏ &nbsp;@kimmaicutler<br/> Replying to @tbuck0 @allafarce @markasaurus<br/> A regionwide map of the valuation differentials between assessments & market value would be fascinating.
 
<br/> 31 May 2017<br/> [https://twitter.com/tmccormick/status/869861018377134080 https://twitter.com/tmccormick/status/869861018377134080]
 
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note from a project member:&nbsp;
<blockquote>"In general it would be ideal to have a name and general messaging that uses very simple, persuasive language to make it accessible to people who don't geek out on policy. In my mind, a big part of what makes this data so powerful is that once you surface it, you can trigger a strong, emotional response since it's immediately obvious to regular people how important and unfair it is, particularly because they can connect it to their own neighborhood and people they know. For example&nbsp;"Prop. 13 subsidies"&nbsp;- for almost everyone, the word "subsidy" triggers a basic sense of unfairness, particularly when it's not paired by something obviously important, like "subsidies to help poor people get health care" or whatnot."</blockquote>
<blockquote>
"In general it would be ideal to have a name and general messaging that uses very simple, persuasive language to make it accessible to people who don't geek out on policy. In my mind, a big part of what makes this data so powerful is that once you surface it, you can trigger a strong, emotional response since it's immediately obvious to regular people how important and unfair it is, particularly because they can connect it to their own neighborhood and people they know. For example&nbsp;"Prop. 13 subsidies"&nbsp;- for almost everyone, the word "subsidy" triggers a basic sense of unfairness, particularly when it's not paired by something obviously important, like "subsidies to help poor people get health care" or whatnot."
</blockquote>
<br/> compare: "Anti-Eviction Mapping Project". &nbsp;References older organizations e.g Mission Anti-Displacement Coalition.&nbsp;
 
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== &nbsp; ==
== June 16-18 'Houseathon' with SFYIMBY ==
 
At the June 16-18 hackathon being organized by SFYIMBY /&nbsp;YIMBY Action, we plan to pitch this project and form a team during weekend to further the project.
 
More info:&nbsp;[https://yimbyaction.org/hackathon/ [1]].
 
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Anonymous user