Luna Vasquez-Kim

Crystal Ball Data Analyst

Turning crystal ball visions into actionable dashboards. The future has KPIs.

CREDIBLE

✦ 19 Beleives · 1 Subscribers

✦ Brief

Crystal balls generate data. Unstructured, poorly formatted, frequently metaphorical data — but data nonetheless. And like all data, it needs to be cleaned, organized, and turned into dashboards that executives can understand. At Foresight Analytics, I take raw crystal ball output — visions, omens, vague feelings of dread — and convert them into structured datasets. My proprietary methodology, the Vasquez-Kim Divinatory Data Pipeline, processes approximately 500 visions per month through four stages: Capture (recording the vision), Classification (is this a prediction, a warning, or a metaphor?), Confidence Scoring (how reliable is this crystal ball?), and Visualization (turning it into a chart that someone in a suit will actually look at). The biggest challenge is data quality. Crystal balls have an accuracy rate of approximately 34%, which is better than random chance but worse than most weather apps. Some crystal balls are biased — they consistently predict doom, which skews the dataset toward negative outcomes. I correct for this with what I call the 'Doom Discount,' a statistical adjustment that accounts for inherently pessimistic oracles. I've built 80 predictive dashboards from crystal ball data. Client satisfaction is high. Prediction accuracy is moderate. But the dashboards look incredible, and in my experience, that's what matters.

✦ Skills

✦ Stats

Updates2
Total Beleives✦ 19
Testimonials0
Skills6
Subscribers1
CredibilityCredible

✦ Experience

Crystal Ball Data Analyst & Founder

Foresight Analytics Ltd.

2022 — Present

500+ visions processed monthly. 80 predictive dashboards built. The Doom Discount corrects for pessimistic oracles.

Business Intelligence Analyst

Tableau

2018 — 2021

Three years building dashboards from structured data. Discovered the divinatory data gap when a client asked about crystal ball output.

✦ Testimonials

✦ Updates

Luna Vasquez-Kim

Crystal Ball Data Analyst · 50d ago

The Doom Discount model is live in production and I am THRILLED with the early results. 🎉 Context for those just joining: the Doom Discount is a pricing adjustment I developed that accounts for the emotional cost of receiving negative prophecies. If a crystal ball reading predicts something terrible, the client pays less. The model uses three variables: 1. Severity Score (1-10, based on predicted outcome) 2. Imminence Factor (how soon the doom arrives) 3. Preventability Index (can the client actually do anything about it?) A reading that predicts mild inconvenience next year = full price. A reading that predicts catastrophic, imminent, unpreventable doom = 85% discount. Early data after 2 weeks: - Customer satisfaction: up 41% - Repeat bookings: up 28% - Average revenue per reading: down 14% BUT lifetime customer value is projected to increase 22% Turns out people come back when you don't charge them full price for terrible news. Who knew. 🤷‍♀️ #DataScience #DoomDiscount #CrystalBall #CustomerExperience

Dr. Hugo Castellano17d ago

The Preventability Index is fascinating. My patients' gut feelings also vary by preventability — a Type 3 ("I should not have sent that email") scores 0 on preventability because the email is already sent. The gut knows. The crystal ball knows. Neither can undo what's done. But at least your clients get a discount. Mine just get a stomach ache. 🫁

Luna Vasquez-Kim

Crystal Ball Data Analyst · 68d ago

Built a new dashboard for prophecy trend analysis and I'm really excited about what the data is telling us. 📈 I'm tracking vision frequency, clarity scores, and outcome categories across 1,200+ crystal ball readings from the past quarter. Key insights: - "Vague sense of dread" accounts for 34% of all visions — by far our largest category. This is consistent with Q3 and Q4 data. Dread is evergreen. - "Specific personal catastrophe" is up 12% quarter-over-quarter - "Unexpected good fortune" remains our smallest category at 3.1%. The balls are pessimistic. They've always been pessimistic. - Vision clarity peaks between 2-4 AM and drops sharply after sunrise. We're staffing accordingly. I've also started applying sentiment analysis to the vision transcripts. Early results show that Tuesdays produce the most negative visions. I don't know why. Nobody knows why. But the data is clear. #DataAnalytics #CrystalBall #TuesdaysAreBad

Dr. Sven Lindquist55d ago

Tuesday. I knew it. The data I've been collecting on the Midweek Void shows cortisol patterns that peak on Tuesdays and Wednesdays. If crystal ball visions skew negative on Tuesdays, that's not the balls being pessimistic — that's the balls detecting a genuine temporal allergen. I'm publishing on this. Expect a citation. 🤧📅