Replacing surveillance capitalism with truth, trust, and transparency.
A nonprofit alliance building the clean data economy.
Link: https://cleandata.world
Location: Global
Clean, anonymous, permissioned data builds trust; and trust builds loyalty.
Clean, anonymous, permissioned data builds trust; and trust builds loyalty.
Honest companies are shifting to continuous, revocable, logged consent; no tricks.
Respect is the new competitive edge.
Honest companies are shifting to continuous, revocable, logged consent; no tricks.
Respect is the new competitive edge.
If a company wants your trust, start with clarity.
One page. No dark patterns. Real consent.
Clean Data isn’t “nice to have.”
It’s the new standard.
If a company wants your trust, start with clarity.
One page. No dark patterns. Real consent.
Clean Data isn’t “nice to have.”
It’s the new standard.
open.substack.com/pub/cleandat...
open.substack.com/pub/cleandat...
They’re tired of being tricked, tracked, inferred, and mislabeled.
Clean Data means:
✔️ Revocable consent
✔️ You own your info
✔️ You get paid
✔️ It’s anonymous by default
When people have agency, everyone wins.
That’s the future.
They’re tired of being tricked, tracked, inferred, and mislabeled.
Clean Data means:
✔️ Revocable consent
✔️ You own your info
✔️ You get paid
✔️ It’s anonymous by default
When people have agency, everyone wins.
That’s the future.
But the data that fuels it? Mostly noise.
If your data is only 15–30% accurate, your budget isn’t optimized, it’s leaking.
Clean Data turns a liability into an asset.
For brands and for people.
But the data that fuels it? Mostly noise.
If your data is only 15–30% accurate, your budget isn’t optimized, it’s leaking.
Clean Data turns a liability into an asset.
For brands and for people.
70% accurate demographics × 40% interests × 30% propensities = 8.4% truth.
That means 91.6% of “likely buyers” aren’t.
This isn’t strategy. It’s statistical hallucination.
Time for verified, permissioned, longitudinal, anonymous data.
70% accurate demographics × 40% interests × 30% propensities = 8.4% truth.
That means 91.6% of “likely buyers” aren’t.
This isn’t strategy. It’s statistical hallucination.
Time for verified, permissioned, longitudinal, anonymous data.
Third-party “precision” data is wrong 70–85% of the time.
We’re not targeting audiences — we’re flipping coins.
The industry is burning $90–120B a year on mislabeled humans.
It doesn’t need a tune-up.
It needs a replacement.
Clean Data > Dirty Data.
Third-party “precision” data is wrong 70–85% of the time.
We’re not targeting audiences — we’re flipping coins.
The industry is burning $90–120B a year on mislabeled humans.
It doesn’t need a tune-up.
It needs a replacement.
Clean Data > Dirty Data.
open.substack.com/pub/cleandat...
open.substack.com/pub/cleandat...
People aren’t opting out because they read privacy policies.
They’re opting out because everything feels off:
• Weird pings
• Creepy ads
• Clingy apps
That gut feeling? It’s correct. The system doesn’t deserve your trust.
People aren’t opting out because they read privacy policies.
They’re opting out because everything feels off:
• Weird pings
• Creepy ads
• Clingy apps
That gut feeling? It’s correct. The system doesn’t deserve your trust.
Now it’s assumption → projection → illusion → policy.
And companies are making real decisions based on hallucinated humans.
That’s fiction with a dashboard.
Now it’s assumption → projection → illusion → policy.
And companies are making real decisions based on hallucinated humans.
That’s fiction with a dashboard.
Your thumb slipped? Tracked.
Clicked by accident? Profiled.
Gave a fake answer for a free pizza? Added to a segment.
This isn’t data; it’s digital gossip posing as truth.
Your thumb slipped? Tracked.
Clicked by accident? Profiled.
Gave a fake answer for a free pizza? Added to a segment.
This isn’t data; it’s digital gossip posing as truth.
Clicks ≠ consent.
Activity ≠ identity.
Dirty data ≠ truth.
We’re not dealing with a broken system. We’re living in one designed to misread people.
Time to start over.
Clicks ≠ consent.
Activity ≠ identity.
Dirty data ≠ truth.
We’re not dealing with a broken system. We’re living in one designed to misread people.
Time to start over.
open.substack.com/pub/cleandat...
open.substack.com/pub/cleandat...
open.substack.com/pub/cleandat...
open.substack.com/pub/cleandat...
We’re here to make the practices that harm people impossible to ignore.
Some will step up.
Some will opt out.
Either way, the line is drawn.
We’re here to make the practices that harm people impossible to ignore.
Some will step up.
Some will opt out.
Either way, the line is drawn.
They get upset because you’re naming the thing they hoped no one would call out publicly.
Accountability always feels personal to the people benefitting from the mess.
They get upset because you’re naming the thing they hoped no one would call out publicly.
Accountability always feels personal to the people benefitting from the mess.
Companies building with consent and transparency are gaining ground.
Companies pretending their surveillance habits are “innovation” are running out of excuses.
Your data model reveals who you really are.
Companies building with consent and transparency are gaining ground.
Companies pretending their surveillance habits are “innovation” are running out of excuses.
Your data model reveals who you really are.
It’s in avoidance.
Everyone wants the benefits of change without letting go of the behaviors that broke trust in the first place.
You can’t rebuild an industry on denial.
It’s in avoidance.
Everyone wants the benefits of change without letting go of the behaviors that broke trust in the first place.
You can’t rebuild an industry on denial.
People are tired of being tricked into agreeing to 30-page privacy policies.
They want transparency they can actually understand.
Clean Data isn’t the future. It’s overdue.
People are tired of being tricked into agreeing to 30-page privacy policies.
They want transparency they can actually understand.
Clean Data isn’t the future. It’s overdue.
Michael’s term artificial inferring hit hard today.
If AI depends on garbage input, it produces garbage output.
Clean human data is the fix.
Michael’s term artificial inferring hit hard today.
If AI depends on garbage input, it produces garbage output.
Clean human data is the fix.
dirty data
confused consumers
rising legal risk
declining trust
Clean Data solves all four by changing the relationship, not the surveillance tactic.
dirty data
confused consumers
rising legal risk
declining trust
Clean Data solves all four by changing the relationship, not the surveillance tactic.
What still works? Real connection, honest conversations, shared value.
Exactly the environment clean data was designed for — human first, then technology.
What still works? Real connection, honest conversations, shared value.
Exactly the environment clean data was designed for — human first, then technology.
No one reads them. No one responds.
Brands keep pushing messages at people who never asked for them.
Pull, not push. That’s the shift. Clean Data makes it real.
No one reads them. No one responds.
Brands keep pushing messages at people who never asked for them.
Pull, not push. That’s the shift. Clean Data makes it real.