My Journey Diving into the 2019 Virgo Moon Sign Monthly Horoscope Data Mess
Man, 2019 was wild, right? Not just for the world, but especially when I decided to tackle what the stars had ‘planned’ for Virgo Moon signs. I’m a Virgo Moon myself, so I figured, why not use my own life as a test case for whether these monthly predictions actually align with reality? It started as a funny little side project, but it quickly became an obsession.
I started by scraping every single major astrology site I could find that offered free monthly horoscopes for Virgo Moon signs for the entire year of 2019. I wasn’t picky. I grabbed the big guys, the small blogs, even those weird forums. I didn’t care about their ‘reputation’; I just wanted raw text predictions. This took forever, hours just running Python scripts, dealing with CAPTCHAs and bizarre site structures. I ended up with a massive spreadsheet—hundreds of columns of text, month by month.
The next step was the brutal one: standardization and categorization. Holy cow, the language these astrologers use is intentionally vague. One site would say “financial opportunity knocks,” another would say “a chance to reorganize your budget,” and a third would cryptically mention “a green light concerning investments.” I had to read through every single entry for every month and assign it a category: Career/Money, Relationships/Love, Health/Wellness, and General/Vague Life Shit. I used simple keywords and a lot of manual judgment because no AI at the time could handle this level of BS abstraction.
For example, every mention of “tension with a partner” or “a romantic surprise” went straight into the Relationship bin. Anything about “new projects” or “salary increase” was Career/Money. If it said “listen to your gut” or “a period of introspection,” it usually ended up as Vague Life Shit.
Then came the fun part: scoring the predictions. I devised a super simple binary system: 1 for a ‘positive’ prediction (e.g., success, love, money flow), and -1 for a ‘negative’ prediction (e.g., challenge, conflict, delay). Neutral or purely descriptive ones got a 0. This allowed me to plot a sort of ‘sentiment score’ for Virgo Moons across 2019, month by month, averaging scores from all the different sources I tracked.
I distinctly remember hitting a snag around the summer months, June and July 2019. The predictions were wildly divergent. Some sites screamed ‘major career breakthrough,’ while others warned of ‘significant setbacks’ and ‘needed restructuring.’ This inconsistency forced me to create a ‘consensus’ score. I only marked a category as definitively positive or negative if over 60% of my collected sources agreed on the sentiment.
Finally, the moment of truth: overlaying my own life events. I went back through my 2019 calendar, old texts, and receipts. Did I get that promotion the predictions hinted at in April? (No, I didn’t.) Did the relationship issues predicted for October materialize? (Yes, big time.) I color-coded my life events against the consensus score. Green for alignment, red for total bust, and yellow for “kinda, maybe.”
The overall outcome? It was a glorious mess. Some months, especially February and November, the consensus prediction line perfectly mirrored my actual experience. Other months, like June’s predicted financial boom, were a complete flop for me. The biggest takeaway, after all that scraping and scoring, was just how much confirmation bias plays into reading these things. You always remember the hits and forget the nine misses.
I bundled all this messy data and my personal alignment notes into a lengthy internal document. It wasn’t for public consumption initially; it was just a proof-of-concept for myself. It was fascinating to see how vague, sweeping astrological language could sometimes accidentally nail a specific event, or completely miss major life changes. It took about three full weeks of solid, head-down work to compile, and it permanently changed how I view those monthly forecasts. It was a ton of effort, but honestly, seeing the numbers behind the magic was totally worth the grind.
