Voter Data Exploitation

Yeah, I guess you’re confident the number is legit there’s no real reason not to. But the people asking me to be a mystery shopper at Kroger can go to hell.

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The situation with stores wanting to track your buying behavior is horrible, and the worst part is that you only get the sales at Kroger if you accept the Kroger Plus card so they can track your behavior.

This article by Forbes explains why Kroger tracks buying behavior of its customers:

Aitken said much of Kroger’s revenue growth came from understanding individual customers and not relying on demographics. Speaking at the Money2020 conference in Las Vegas, Aitken said “Demographics tell you nothing, yet too many companies are focused on them. Just because I am the same age as you, live next door and have 2.2 children doesn’t mean we have the same preferences.”

So dunnhumby [a data analytics firm] creates a DNA on each customer, rather than cramming customers into segments, to see what drives their behavior – do they have kids, do they skew toward healthy or fun, do they like organic or convenience, and where are they price sensitive – across all products or only on some.

“We tell our retailing customers there is no silver bullet. Take data from customers and look at the decisions the business is making and look at their impact on the consumer.” The company will work with only one company in any category and geography; Kroger is the largest US grocery chain using its data. dunnhumby also works with Raley’s, a regional grocery store chain in California and Nevada which has minimal overlap with Kroger. The customer data specialist also works with Macy’s and Dick’s Sporting Goods.

The worse part is how hard it is to avoid the data tracking of personal behavior. My parents live in a town of 10,000 people where there is only Kroger, Walmart and ALDI to buy food. Walmart is generally evil, and destroyed most of the local retailers in the town, so my parents refuse to guy groceries there. Kroger tracks their buying, so that only leaves ALDI which only stocks select items. My parents end up buying most of their food at Kroger, and they want the sales so they use the Plus card and Krogers knows exactly what they buy every week.

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Your parents should stop using their current grocery chain loyalty number and start over with this:


Or any other fake number that’s easily remembered! (Or just use the chain’s issued key tag after re-signing up.) Also use a fake name and address if asked.

It’s important to also opt out of all data sharing with your credit card issuers (and other payment systems). Incredibly, they might be sharing your purchase history with data aggregators.

I patch and compile all my used open source software by myself. I did not check every patch but have a versioning with git and a history of changes, i look at before compile and use it.

Did you read Wikipedia’s Entry of this Documentary? Its not that i think that its not probably to influence an election or voters with technology. From my viewpoint its just … not up to date. You do not need to use that kind of Data, if you have more Data available on the Market in the US.

And i think its more easy to change there worldview through Twitter, Facebook, Amazon or a popular Video App from China. The Internet and the new Information War don’t have Boarders.

However its not easy to attribute an attacker, from Money an Location. I think the first issue are too much personal Information flow away to a “secret extraction of personal Information”, through Computers like Smartphone from Humans.

But as long as we’re talking about the geo-tracking technology, it seems completely valid to point out here that the technology can be used and is being used, not only to violate your voting privacy, but also to gather evidence of vote rigging.

That geo-tracking is really bad. Have you read about that Apple-Issue with that Phone in the Plane?
Someone lost its Phone in the Plane and it flown over month from here to there. The Owners watch about it on “Track my Phone”. And the Phone was out of Battery but BLE (Bluetooth Low Energy) send an ID to other Apple Devices wich Track that Phone, if an Apple Device was near the Plane.

Even if the Device was in flymode. And here we have a passive ability of Tracking. You “other device” will snitch you for your location like Tracking and Maps of WLAN do this with Android and iOS too. Its free Money if a Phone collect and send that Information about nearby Mac-Devices to Apple or Google, and even Amazon or Cars in near future would do so. And i do not see why your Samsung or LG Screen would not have a 3 Cent Chip to collect and send this Data, in Future daily if it flush more Money into those Companies pocket. Its kind a dark future and i hope we will not end up there.

However right now, this is the great hot shit. And you can watch on China where it will lead us to. I am so sad for Society, cause it will destory so much of free speach and believe in technology.

Edit: Sorry i missed my Point. You can buy your last X Month of Geodata allready and in futer the (far future, year 0 to age of 16 for example if you are 18) will be available for free, recent/every minute data will be expansive.

Take a look at what’s on offer at these major U.S. databrokers that sell voter data:

https://www.aristotle.com/

They have easy online opt-outs on their sites.

Exactly. A reputable sender will respect your “STOP”. A disreputable sender or an outright criminal will not. Hence it is necessary to be able to verify the number to relate to the sender and then make a judgement about the sender.

Verifying the number is usually difficult.

Yes. Also there is some risk in replying STOP at all if the message is malicious e.g. designed to exploit a Day 0 on your phone or e.g. designed to engage you in a way that might accidentally or ultimately result in a malicious outcome.

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Which perfectly illustrates why the government’s clueless “allow it until a person says ‘no’” rule is so ignorant.

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Just found out that (non-political) spam texts can be forwarded directly to the FTC at 7726 ( that spells “SPAM”), and they’ll look into who sent it and where it came from. Nice!

There may be something equivalent in other countries.

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I submitted a request to one data broker that specializes in providing voter profiles to campaigns, candidates, and only the gods know whom else. I asked for a copy of the data they had on me, and also to cease selling it, and to delete it.

Here are the categories they track (698 of them), not all of which were populated in my case:

requestid
requeststatus
uid
state
voterid
isregistered
ismostrecentregistration
isnewvoter
consumerverified
salutation
firstname
middlename
lastname
suffix
gender
dob
dob_year
dob_month
dob_day
agerange
r_householdid
m_householdid
m_numberinhh
hhmember_firstname
hhmember_middlename
hhmember_lastname
individual_order
ethnicity
ethnicitykey
religion
religionkey
language
racekey
regrace
race
coalescerace
isdeceased
phone
phonesource
phonelinetype
phonereliability
cellphone
cellphonesource
polgeo_pk
geomatchsource
cy
cname
cd
sd
sdname
ld
ldname
jd
i360_cd
i360_sd
i360_ld
cd_old
ld_old
sd_old
dma_name
dma_code
munic
munin
township
ward
pr
prsplit
bb
pname
i360_pname
vintage
geography
geometry
addressdifferent
rlocationid
r_addrline1
r_addrline2
r_city
r_state
r_zip5
r_uspszip4
r_addresstype
r_fips
r_countyname
r_housenumber
r_housenbrsuffix
r_stpredirection
r_streetname
r_addresssuffix
r_stpostdirection
r_streettype
r_bldgtype
r_bldgnum
r_oddeven
r_dpc
r_dpcd
r_carrierroute
r_elot
r_2010_block
r_2010_blockgroup
r_2010_fips
r_2010_tract
r_2010_vtd
r_mcd
r_census
r_2000_block
r_2000_blockgroup
r_2000_fips
r_2000_tract
mlocationid
m_addrline1
m_addrline2
m_city
m_state
m_zip5
m_uspszip4
m_addresstype
m_fips
m_countyname
m_housenumber
m_housenbrsuffix
m_stpredirection
m_streetname
m_addresssuffix
m_stpostdirection
m_streettype
m_bldgtype
m_bldgnum
m_oddeven
m_dpc
m_dpcd
m_carrierroute
m_elot
m_dpvstatuscass
m_dpvfootnotecass
m_census
m_2000_block
m_2000_blockgroup
m_2000_fips
m_2000_tract
m_2010_block
m_2010_blockgroup
m_2010_fips
m_2010_tract
m_2010_vtd
m_undeliverable
m_cass
m_mcd
ncoa
ncoa_type
ncoa_date
t_latitude
t_longitude
t_latlongmatchlevel
ni_latitude
ni_longitude
ni_latlongmatchlevel
p_latitude
p_longitude
p_latlongmatchlevel
rdate
party
r_rcnt
r_dcnt
r_ucnt
r_ocnt
m_rcnt
m_dcnt
m_ucnt
m_ocnt
ractive
pabs
vhtaxg
vhtaxp
pbf
vh15g
vh15p
vh15mg
vh15mp
vh15sg
vh15sp
vh14g
vh14p
vh14mg
vh14mp
vh14sg
vh14sp
vh13g
vh13p
vh13mg
vh13mp
vh13sg
vh13sp
vh12g
vh12p
vh12pp
vh12mg
vh12mp
vh12sg
vh12sp
vh11g
vh11p
vh11mg
vh11mp
vh11sg
vh11sp
vh10g
vh10p
vh10mg
vh10mp
vh10sg
vh10sp
vh09g
vh09p
vh09mg
vh09mp
vh09sg
vh09sp
vh08g
vh08p
vh08mg
vh08mp
vh08pp
vh08sg
vh08sp
vh07g
vh07p
vh07mg
vh07mp
vh07sg
vh07sp
vh06g
vh06p
vh06mg
vh06mp
vh06sg
vh06sp
vh05g
vh05p
vh05mg
vh05mp
vh05sg
vh05sp
vh04g
vh04p
vh04mg
vh04mp
vh04pp
vh04sg
vh04sp
vh03g
vh03p
vh03mg
vh03mp
vh03sg
vh03sp
vh02g
vh02p
vh02mg
vh02mp
vh02sg
vh02sp
vh01g
vh01p
vh01mg
vh01mp
vh01sg
vh01sp
vh00g
vh00p
vh00pp
vh00sg
vh00sp
lastupdated
r_locpartyflag
m_locpartyflag
vh16g
vh16p
vh16pp
vh16mg
vh16mp
vh16sg
vh16sp
r_inmultiunit
m_inmultiunit
email
vh17g
vh17p
vh17mg
vh17mp
vh17sg
vh17sp
vh18g
vh18p
vh18mg
vh18mp
vh18sg
vh18sp
vh_json
polgeo_json
vh19g
vh19p
vh19mg
vh19mp
vh19sg
vh19sp
vh20g
vh20p
vh20pp
vh20mg
vh20mp
vh20sg
vh20sp
r_address_hash
r_address_validflag
m_address_hash
m_address_validflag
vh04gr
vh04pr
vh05gr
vh05pr
vh06gr
vh06pr
vh07gr
vh07pr
vh08gr
vh08pr
vh09gr
vh09pr
vh10gr
vh10pr
vh11gr
vh11pr
vh12gr
vh12pr
vh13gr
vh13pr
vh14gr
vh14pr
vh15gr
vh15pr
vh16gr
vh16pr
vh17gr
vh17pr
vh18gr
vh18pr
vh19gr
vh19pr
vh20gr
vh20pr
r_rural_route_number
m_rural_route_number
r_postal_box_number
m_postal_box_number
cellphonereliability
affinitymodel
propensitymodel
soconlife
soconmarriage
fisconmodel
govmodel
fiscontax
fisconspending
healthcaremodel
estimatedagemodel
propensitygovmodel
propensityvcmodel
undecidedmodel
affinitymodelbase
minwagemodel
guncontrolmodel
isismodel
immigrationmodel
criminaljusticemodel
energymodel
commoncoremodel
consumeraffinitymodel
certaintymodel
enthusiasmmodel
newspapermodel
socialmediamodel
streamingusagemodel
tvusagemodel
tvvsstreamingmodel
primarypropensitymodel
freetrademodel
affinitymodel2016
affinitymodelbase2016
trumpapprovalmodel
righttoworkmodel
schoolchoicemodel
dacamodel
propensitymodel2018
contributormodel
socialentrepreneurmodel
localsolutionsmodel
affinitymodel2018
affinitymodelbase2018
ticketsplittermodel
socialismmodel
climatechangemodel
cons_creditcardcount_hh
cons_adultcnt
cons_card_bankcard
cons_card_bankcarddate
cons_card_credit
cons_card_finance
cons_card_gas
cons_card_prembank
cons_card_retail
cons_card_spec
cons_card_travel
cons_card_upscaleret
cons_clustercode
cons_constabilityind
cons_credit_revolver
cons_creditcardcount
cons_dma
cons_education
cons_expirank
cons_familyincome
cons_familyincomecode
cons_familyincomecode_2
cons_familyincomerange
cons_householdincome
cons_potinvestscore
cons_purchasepower
cons_purchasepowerange
cons_purchasepowerind
cons_sesi
cons_wealth_2
cons_wlthcategory
demo_childcnt
demo_children_age_0_to_3
demo_children_age_13_to_17
demo_children_age_4_to_7
demo_children_age_8_to_12
demo_children_present
demo_ethnic_code
demo_female_occ
demo_gparentinhh
demo_group_code
demo_homeownr
demo_male_occ
demo_maritalstatus
demo_marketage_0_11
demo_marketage_0_17
demo_marketage_0_5
demo_marketage_12_17
demo_marketage_12_17_f
demo_marketage_12_17_m
demo_marketage_18_24_f
demo_marketage_18_24_m
demo_marketage_18_34_f
demo_marketage_18_34_m
demo_marketage_18_44_f
demo_marketage_25_34_f
demo_marketage_25_34_m
demo_marketage_35_44_f
demo_marketage_35_44_m
demo_marketage_35_54_f
demo_marketage_35_54_m
demo_marketage_45_54_f
demo_marketage_45_54_m
demo_marketage_50plus
demo_marketage_55_64_f
demo_marketage_55_64_m
demo_marketage_6_11
demo_marketage_65plus
demo_marriedscore
demo_nielsen_nreg
demo_nielsen_rank
demo_occupation
demo_original_country
demo_polparty
demo_religion_code
demo_spoken_language
demo_workathome
home_actualvalue
home_arrivaldate
home_bathcnt
home_bedcnt
home_equityestrange
home_fintype
home_garage
home_heattype
home_homeage
home_homeagesource
home_homesize
home_intrate
home_intratesource
home_loanamt
home_loanamtsource
home_loantypecode
home_loantypesource
home_locationtype
home_lotsize
home_medianlengthofres
home_membercount
home_mortgage
home_occupancycnt
home_ownertype
home_ownrentcode
home_propertytype
home_roomcount
home_saledate
home_saledatesource
home_secondproprty
home_secondproprtyvalue
home_subfamily
home_valueestimatecode
home_valuesource
home_yearblt
home_yearsofresidence
home_yearsofresidence_2
mod_buyingchannel_internet
mod_buyingchannel_phone
mod_cruise
mod_countryoforigin
mod_spanishlanguage
bhav_boatownr
bhav_bookmusc
bhav_camping
bhav_carbuff
bhav_cat
bhav_childitm
bhav_collectibles
bhav_compownr
bhav_cont_animals
bhav_cont_arts
bhav_cont_charity
bhav_cont_children
bhav_cont_contbhlt
bhav_cont_contbpol
bhav_cont_contbrel
bhav_cont_contpol_d
bhav_cont_contpol_r
bhav_cont_environm
bhav_cont_international
bhav_cont_last2years
bhav_cont_veterans
bhav_cooking
bhav_craftsew
bhav_decortng
bhav_dieting
bhav_dog
bhav_doityrself
bhav_donrever
bhav_electrnc
bhav_fishing
bhav_fitness
bhav_foodwine
bhav_foreigntravel
bhav_fulfillcode
bhav_gambling
bhav_gardening
bhav_golf
bhav_heavyinet_score
bhav_hiticket
bhav_htechind
bhav_hunting
bhav_inetuse_score
bhav_internet_ads
bhav_invest
bhav_jewelry
bhav_magazine
bhav_magazine_ads
bhav_magsweepsscribe
bhav_mailord
bhav_mailres_4yr
bhav_mailres_current
bhav_mailres_ever
bhav_mobile_ads
bhav_newspaper_ads
bhav_osteoporosis
bhav_outdoor
bhav_outdoor_ads
bhav_petowner
bhav_photogrp
bhav_pool
bhav_radio_ads
bhav_stmpcoin
bhav_stocks
bhav_trvlentm
bhav_tv_daytime
bhav_tv_primetime
bhav_vcr
bhav_veteran
lifestyle_aframr
lifestyle_appacc
lifestyle_apparel
lifestyle_appkids
lifestyle_appmen
lifestyle_appwomen
lifestyle_arts
lifestyle_asian
lifestyle_auto
lifestyle_aviation
lifestyle_bargains
lifestyle_baseball
lifestyle_baskball
lifestyle_beauty
lifestyle_bible
lifestyle_birds
lifestyle_boating
lifestyle_books
lifestyle_business
lifestyle_buyint
lifestyle_camping
lifestyle_catalog
lifestyle_cats
lifestyle_collect
lifestyle_college
lifestyle_computer
lifestyle_cooking
lifestyle_crafts
lifestyle_creditcd
lifestyle_crochet
lifestyle_cruise
lifestyle_curevent
lifestyle_diet
lifestyle_dogs
lifestyle_donor
lifestyle_ego
lifestyle_electron
lifestyle_family
lifestyle_fiction
lifestyle_fishing
lifestyle_fitness
lifestyle_football
lifestyle_foreign
lifestyle_gamble
lifestyle_games
lifestyle_garden
lifestyle_giftgver
lifestyle_golf
lifestyle_gourmet
lifestyle_health
lifestyle_hightech
lifestyle_hispanic
lifestyle_histamer
lifestyle_history
lifestyle_hobbies
lifestyle_hockey
lifestyle_homedeco
lifestyle_homeoff
lifestyle_horses
lifestyle_humor
lifestyle_huntfish
lifestyle_hunting
lifestyle_inspire
lifestyle_intacc
lifestyle_internet
lifestyle_knit
lifestyle_liberal
lifestyle_magazine
lifestyle_menfash
lifestyle_mob
lifestyle_money
lifestyle_movies
lifestyle_mtrcycle
lifestyle_music
lifestyle_needlept
lifestyle_nonfict
lifestyle_ocean
lifestyle_outdoors
lifestyle_personal
lifestyle_pets
lifestyle_photo
lifestyle_politic
lifestyle_process
lifestyle_publish
lifestyle_quilt
lifestyle_racing
lifestyle_rural
lifestyle_science
lifestyle_scifi
lifestyle_seniors
lifestyle_sew
lifestyle_ski
lifestyle_soccer
lifestyle_sports
lifestyle_stamps
lifestyle_station
lifestyle_stocks
lifestyle_sweeps
lifestyle_tennis
lifestyle_tobacco
lifestyle_travel
lifestyle_travelrv
lifestyle_travelus
lifestyle_trucks
lifestyle_wildlife
lifestyle_womenfs
lifestyle_yourself
admin_acx_verifydate
cons_clustercode_super

If anyone needs me to clarify a category, I’ll explain it if I can.

(Only 216 327 fields contained an entry for me, by the way. )

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How many were populated in your case? (approx.)

Either way, it is all very intrusive - but we knew that already.

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I initially said 216, but I missed a few; it’s actually 327. (Corrected now.)

A lot of the fields and entries are cryptic - numerical codes and such. My full name, date of birth, address, mobile number, voter/party status, email address, and geocoordinates of my house were all spot on. Also race, but where it got my ethnicity (it assumes “my people” must be from a specific area of the UK) and religion (I’m an atheist, but that’s not what they think), I have no clue. Income was off by a bit.

I would like to know what all the numerical codes correspond to, such as my score for “consumeraffinitymodel,” “certaintymodel,” “propensitymodel,” etc., as well as the more cryptic category designations (as listed above).

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Campaign season is about to kick off in the U.S.

This graphic from Reuters agency provides some interesting detail about how “they” acquire and use people’s personal data for targeting: How political campaigns use your data in elections

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Every Data got sold today. So we have to minimize the available amount of data in the first place.
Kill Sensors or cut them of from the web or ble. Overwrite collected Data with the picture you will paint.

But if some code or A.i. get it… you know. Not lost but your not bff will tell stories about you.

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The following may be of interest to U.S. voters, as Primary season is getting underway, annoying poltical campaign flyers are starting to fill mailboxes, and canvassers will start knocking on doors. (They know your name and address.)

One data broker that specializes in collecting and selling voter data is https://politicaldata.com/

There are instructions on their Privacy Policy page for getting your private data removed. I suggest using an alias-email address to send the request.

Campaigns that use this sort of broker allegedly often update the lists they have in order to find out if anyone has already voted and no longer worth trying to persuade, or to capture any new registered voters, so it’s worth opting out now.

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The owner of this website has taken it upon himself to obtain and publish (contrary to legally authorized voter roll usage) every U.S. voter’s name, date of birth, address, party affiliation, and status: https://www.voteref.com/

He has already attracted the attention of several Secretaries of State and been subjected to take-down notices, but unfortunately most states’ voter data is still there.

There’s no personal data opt-out that I can find on the site.

Simply unbelievable.

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Feel free to contact them about your concerns.

There are indications in at least one external news article I saw that they don’t honor opt-out requests, but people can express their displeasure there, I guess. Fortunately, California voters aren’t uploaded to the site.

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Data is like that. I can’t comment on the situation in the US but here it is difficult for the government to balance legitimate uses of electoral roll information, that may(?) enhance democracy, with illegitimate uses, that may just help scammers and other criminals, as well as being generic privacy fail. The problem is that once the data is released, you simply can’t control what happens to it. I wonder whether any democracy is doing better with this problem?

Party affiliation is at least not a problem here since that is not collected on a wide-spread or general basis. That said, I’m not sure what “party affiliation” means in your context. Whether the voter is a member of a political party? Whether the voter generally votes for that party? Something else?

Maybe the answer is that electoral roll information ceases to be available “publicly” for any purpose but, with the express consent of any given voter, “the public” can communicate to that voter via the gatekeeper that manages the electoral roll (in much the same way that you can use this forum to email me without knowing my email address).

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Yes, that.

California’s regulation, as one example, on obtaining and using the data: Access to Voter Registration Information :: California Secretary of State

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