>>173827,
>>173828,
>>173829,
>>173830,
>>173831,
>>173832,
>>173833,
>>173834,
>>173835,
>>173836,
>>173837,
>>173838,
>>173839,
>>173840,
>>173841,
>>173842,
>>173843,
>>173844,
>>173845,
>>173846,
>>173847,
>>173848,
>>173849,
>>173850,
>>173851A snow map two weeks out is usually just one possible solution, not a likely one
When people see a specific snow total:
They assume the science supports that precision — it does not.
That creates a false belief that forecasts are “always wrong” when the map inevitably vanishes.
*It erodes trust in meteorologists
This is the biggest long-term damage.
People remember:
“They said a foot of snow”
“It didn’t happen”
“Meteorologists can’t get anything right”
They don’t remember that:
It was a single model run
Well beyond skillful range
Shared without uncertainty or context
This degrades public trust in legitimate forecasts that actually matter (days 1–5).
*It creates emotional whiplash (especially in the South)
In places like Alabama, big snow is:
Rare
Emotionally charged
Heavily shared on social media
Two-week snow maps trigger:
Hype
Disappointment
Cynicism
Over time, people become numb—even when a real threat appears.
*It crowds out useful signals
Long-range snow maps distract from what is knowable that far out:
What can be discussed at day 10–15:
Pattern tendencies (cold vs warm)
Blocking potential
Storm track probabilities
Teleconnections (NAO, AO, PNA)
Instead, audiences fixate on:
Exact snow totals
Exact cities
Exact dates
Which are meaningless that far out.
*It encourages bad decision-making
Most people don’t just look “for fun.”
They may:
Adjust travel plans
Take off work
Cancel events
Stock up unnecessarily
Even if only a small fraction act, it’s still harm caused by misrepresented confidence.
*It blurs the line between forecasting and entertainment
There’s nothing wrong with:
Pattern discussion
Historical analogs
“If this were to happen…” scenarios
The harm comes when:
Maps are posted without disclaimers
Titles imply certainty (“Major Snowstorm Coming”)
Deterministic outputs are presented as forecasts
At that point, it’s clickbait, not meteorology.
*Why this problem is getting worse
Models are higher resolution → prettier maps → false confidence
Social media rewards extremes
Algorithms amplify emotionally charged weather content
Fewer people understand ensembles or uncertainty
Pretty snow maps travel farther than nuanced explanations.
Bottom line:
The harm isn’t that the maps are wrong.
The harm is that they are misleading.
They:
Undermine trust
Teach bad science
Create hype–disappointment cycles
Make real warnings easier to ignore later
Remember... please think before you share!!
https://x.com/spann/status/2011054837522190738James Woods @RealJamesWoods - And while we’re at it, I have a cousin named “Karen,” who is one of my favorite people on earth. A remarkable person. Enough with the “Karen” jokes, please.
And most importantly, special needs people suffer enough. “Retard” is a disgraceful and cruel word. Enough already.
https://x.com/RealJamesWoods/status/2010756396581863458Jason Miller @JasonMiller - MUST-READ
Today’s @NYPost cover story!
@SecScottBessent & the rest of @POTUS @realDonaldTrump’s team are coming for the fraudsters!!!
“Treasury Secretary Scott Bessent reveals up to 10% of US budget stolen each year”
https://nypost.com/2026/01/12/us-news/treasury-secretary-scott-bessent-reveals-up-to-10-of-us-budget-stolen-each-year/https://x.com/JasonMiller/status/2011054939653480812JD Vance @JDVance - Just spoke with a guy who owns a small business. Complaining about the fact that that he pays his employees $18-20hr (minimum) but the people who hire illegal aliens pay them $6.50 an hour and hurt his business.
Many of the people threatening law enforcement and interfering with deportations are just mad that this system is coming to an end.
https://x.com/JDVance/status/2010801994231918872 26