Right now, the internet runs on:
π« Dark patterns
π« βAccept allβ buttons
π« Data extraction dressed up as convenience
@cleandataalliance.bsky.social
Giving people control of and compensation for their data. Replacing surveillance capitalism with truth, trust, and transparency. A nonprofit alliance building the clean data economy. Link: https://cleandata.world Location: Global
Right now, the internet runs on:
π« Dark patterns
π« βAccept allβ buttons
π« Data extraction dressed up as convenience
Hereβs what βsafeβ actually means π
βοΈ You own your data
βοΈ Consent is real, ongoing, and revocable β not buried in legal soup
βοΈ Your data is used with permission, not harvested
βοΈ Youβre paid when your data creates value
A safe internet isnβt about reminding people to update passwords once a year or telling kids not to click sketchy links.
Itβs about fixing the system that profits from surveillance every other day of the year.
From Dirty Data to Data Dignity
09.02.2026 02:12 β π 0 π 0 π¬ 0 π 0Protecting the public from a foreign adversary was easy because it required no self-reflection. Protecting the public from a domestic economy built on data people donβt understand, consent they never meaningfully gave, and systems no one is accountable for? Thatβs harder. So we didnβt try.
27.01.2026 13:57 β π 0 π 0 π¬ 0 π 0Truth doesnβt come from more data.
It comes from better data systemsβ
ones that respect humans, reward honesty, and make agendas visible.
Thatβs not reforming the system.
Thatβs replacing it.
Snapshots create opinions.
Longitudinal data reveals truth.
Who someone is over timeβwith agency and consentβwill always be more honest than what they clicked once under surveillance.
Multiple truths can coexist.
Manipulated narratives cannot.
The difference isnβt ideology.
Itβs transparency: consent, context, compensation, and the ability to say no.
Data doesnβt lie.
But incentives do.
When data is extracted, framed, and sold without consent, it will always tell the story its buyer wants to hear.
Truth requires aligned incentivesβnot bigger dashboards.
Truth is not a dataset.
Truth is what survives context, time, and scrutiny.
If data canβt show you who collected it, why, and for whose benefitβitβs not truth. Itβs persuasion.
The DunningβKruger effect thrives in extractive data systems.
Clean Data collapses the illusion by restoring signal, context, and agency.
Dirty data rewards arrogance; clean data demands humility.
Because real insight comes from listening, not harvesting.
Most data doesnβt reveal truthβit reinforces delusion.
Especially when itβs extracted without consent or context.
In data, overconfidence thrives on noise; but truth emerges from humility.
Dirty data creates false certainty; Clean Data, grounded in consent, context, and verification, replaces ego-driven guesses with accountable insight and real understanding.
Oops. Salesforce learned the hard way that you canβt replace experienced humans with AI and expect reliability by default.
When context matters, LLMs drift. When outcomes matter, drift breaks systems.
What is data β really? And who decides whatβs true when data shapes reality?
23.01.2026 03:34 β π 0 π 0 π¬ 1 π 0When you donβt own your data,you accumulate:
23.01.2026 03:30 β π 0 π 0 π¬ 0 π 0π¬ Alright, alright, alrightβ¦ but only if youβve got permission.
Matthew McConaughey just licensed his likeness and voice; because even in the age of AI, consent still matters. π
youtu.be/ySC_FQxZfqU
As customers gain data agency, clean metrics stop masking the gap between engagement and commitment.
martech.org/the-myth-of-...
Dirty data didnβt just weaken marketing; it taught the industry to mistake noise for truth; this piece breaks down how we got here and why clean, permissioned data is the only way back to meaning.
martech.org/how-dirty-da...
The New York Times exposed a scam center in Myanmar that looks like a legitimate office building, but its entire purpose is fraud. Think about the intelligence, coordination, and effort behind that operation. www.nytimes.com/2026/01/13/w...
14.01.2026 13:52 β π 2 π 0 π¬ 0 π 0For most of human history, our senses were reliable security tools.
A familiar voice.
A known face.
A trusted mannerism.
That era is over.
cleandataalliance.substack.com/p/the-evolut...
When you join a meeting, you think youβre joining a conversation.
And once recording or AI note-taking starts, a human moment becomes a permanent artifact.
cleandataalliance.substack.com/p/when-a-mee...
I earned my degree in Strategic Communication from @columbiauniversity.bsky.social.
It violated nearly every principle the discipline is supposed to stand for: accountability, clarity, stakeholder respect.
cleandataalliance.substack.com/p/an-ivy-lea...
This is the real cost of βdirty data.β
Impersonal language.
No accountability.
Outsourced apologies.
βFree credit monitoringβ instead of reform.
This was a failure of communication and humanity.
The real reset isnβt better personalization.
Itβs designing systems that respect impermanence.
Consent must be revocable.
Participation must be chosen.
Value must be mutual.
Clean data doesnβt create community.
It reveals whether it was ever real.
Most people donβt want a βrelationshipβ with brands.
They want utility, clarity, and the freedom to leave.
This isnβt disloyalty.
Itβs agency.
Weβre not in a loyalty economy.
Weβre in a discernment economy.
Community isnβt a feature you launch.
Itβs an outcome you earn.
Signups arenβt belonging.
Engagement isnβt commitment.
Dashboards donβt measure aliveness.
Clean data just makes the emptiness harder to ignore.