In April 1942, a handmade sign leaning against a rural gatepost marked the end of someone’s world: “Foreclosure Sale. Furniture. All Must Be Sold.”

Photographer Russell Lee captured the scene as Japanese-American families were forced from their homes under Executive Order 9066. No crimes. No trials. Just fear, policy, and silence.

This Rockwell-style rendering reimagines that quiet horror. It looks peaceful—almost idyllic. But the beauty of the land doesn’t absolve what was done on it. The sign is more than just notice of a sale; it’s a monument to how easily American ideals can be betrayed by American hands.

And now, in 2025, we hear it again: Make America Great Again. But which again do they mean? The one where citizens lost everything by executive decree? The one where racial suspicion justified state theft?

Because this image—that sign—was someone’s “again.”

We need to ask, every time we hear the chant:
Is this the ‘Again?’
The one we’re being sold?
The one they’re trying to bring back?

Displacement today wears new clothes. It’s foreclosure, eviction, deregulated land grabs, ICE raids, and economic abandonment. Different tools. Same cruelty.

History isn’t a warning if we let it repeat with better marketing.

The Past, Reimagined Like Rockwell #11
Is this the “Again?” #5

You ever wonder what part of “great” they’re talking about?

I look at this image—this mother, worn thin as yesterday’s dishwater, holding a child with nothing but the next hour on her mind—and I think: this is the lie, dressed up in sepia tones and nostalgia.

Make America Great Again?

Was it great when families like this had to choose between heating the room or feeding the baby? When the pantry was empty but the church told you to be grateful? When a woman like her worked her fingers to the bone and still got called a burden?

This isn’t a memory. It’s a warning.

Because what MAGA keeps selling isn’t greatness—it’s a return ticket to desperation, sanctified by sentiment. They want us to believe this was the peak, that simplicity and suffering somehow meant virtue. But look closer. That’s not a proud America. That’s survival dressed up in Norman Rockwell’s lighting.

If this is the “again,” then no thanks. I’ve seen what comes with it: union-busting, racial segregation, domestic silence, and the grinding weight of poverty passed down like an heirloom.

We didn’t crawl out of that just to be dragged back by a slogan and a hat.

So let’s call it what it is. This “again” isn’t about greatness. It’s about control. It’s about rewriting misery as morality and telling us to be grateful for it.

I say we remember—but not to romanticize. We remember so we don’t go back.

Because this isn’t greatness.
This is the warning label.

The Past, Reimagined Like Rockwell #7

A simple tenant house. A neat porch stacked high with raw cotton. The image is reimagined from a 1935 photograph taken on the grounds of Maria Plantation in Arkansas. Quiet as it appears, this scene reflects a system that was anything but gentle.

This wasn’t the plantation house. It was one of the many structures where tenant farmers lived and worked—on land they didn’t own, growing cotton they couldn’t profit from. The labor was grueling. The compensation insultingly low. At times, workers earned as little as five cents an hour, barely enough to feed a family, let alone rise out of debt.

Captured by Farm Security Administration photographer Ben Shahn, the original images were part of a national effort to document rural poverty during the Great Depression. They reveal lives shaped by exploitation, not accident. Cotton on the porch wasn’t just a crop—it was a symbol of who held power, and who bore its cost.

Maria Plantation sat somewhere in Arkansas, in the Mississippi Delta region, where cotton dictated the economy and the lives within it. Tenant farmers, often Black and impoverished, had little choice but to endure a cycle of dependence. Even when mechanization arrived and changed the nature of agriculture, the same families were cast aside—without protection, acknowledgment, or land of their own.

The echoes of that era still linger. Rural communities today face different tools, but the same machinery: land consolidation, vanishing autonomy, and systems designed to prioritize profit over people.

The image may look calm, even nostalgic. But there’s a weight in that cotton, and a truth that shouldn’t be softened. What stood on that porch was the product of lives laboring under quiet coercion—structured, sanctioned, and sustained by policy and power.

Do tenant farms still exist?

Here’s the current reality, plain and direct:

• Rented farmland is widespread: As of the most recent USDA data, about 40% of U.S. farmland is rented, and much of it is worked by people who do not own the land. These farmers range from full-scale operators leasing thousands of acres to small family farmers barely breaking even.
• Land concentration is accelerating: Ownership is increasingly in the hands of corporations, absentee landlords, and investment groups. Many rural families who once owned land now lease it back just to stay afloat.
• The economic leverage is the same: Like in the sharecropping era, tenant farmers today often face tight margins, heavy debt, and little control over prices, terms, or weather-related risks. They provide the labor and bear the risk, but profits usually flow upward.
• No feudal cabins, but the hierarchy remains: Today’s tenant might drive a modern tractor instead of a mule, but the power imbalance hasn’t gone anywhere. It’s just been digitized, financed, and wrapped in legal contracts.

So yes—tenant farming persists. It’s not romantic, and it’s not gone. It’s simply evolved into a more bureaucratic and corporate-friendly form of the same old imbalance.

The Past, Reimagined Like Rockwell #8
Is this the “Again?” #2

They stare out from the past, unsmiling and unbowed. A man in worn denim overalls and a woman in a faded floral dress, standing shoulder to shoulder in front of a log wall patched with the tools and tokens of survival—lantern, rope, bucket, cloth. They aren’t asking for anything. They’re just letting you look.

This image reimagines Ben Shahn’s 1935 photograph of “rehabilitation clients” from Boone County, Arkansas—tenant farmers living through the worst of the Great Depression. It’s rendered in the style of Norman Rockwell, not to sweeten the hardship, but to make sure we don’t look away from it.

It would’ve been easy to lose the soul in that translation—to let soft brushstrokes blur the sharp truth of poverty. But this version doesn’t blink. The lines etched into the man’s face, the pale strain in the woman’s eyes, the plain clothes, the set of their shoulders—it all still reads clear as a cotton ledger. There’s no sentimentality here, no cozy idealism. Just the hard dignity of people who worked a patch of earth that barely worked back.

I know people like this. You probably do too. Maybe they’re your grandparents, maybe they’re neighbors. Maybe they’re you. There’s something familiar in the way these two stand—defiant not in posture, but in the simple fact that they are still standing.

The original photo came from the Resettlement Administration, part of the federal government’s attempt to hold rural America together during a time of collapse. The people in it were labeled “rehabilitation clients”—a bureaucratic term for those still trying to make something grow after the economy left them for dead. Sounds familiar, doesn’t it?

Tenant farming never really ended. It just changed names. Today it’s contract labor, sharecropping by another word, or debt service disguised as opportunity. And the same weary eyes are still out there—only now they’re scanning gas pumps, hospital bills, or the fine print on a farm loan.

So when someone tells us they want to “Make America Great Again,” it’s worth asking: Is this the “Again?” Is this what they want us to return to—barefoot dignity, back-breaking work, and a government that watches you toil and calls it a success story?

What makes this image powerful isn’t just its style. It’s that it tells a story rarely painted: the unflinching truth of working-class hardship, without the wink. It gives color to a history that’s often remembered in grayscale, and in doing so, insists we look again.

Because sometimes, in order to see how heavy the weight of cotton really was—and still is—you’ve got to bring the past into full color.

Based on the October 1935 photograph by Ben Shahn for the United States Resettlement Administration, this modern reinterpretation captures the same unflinching realism—now reimagined in painterly tones. A man and woman stand before their log home, unsmiling and unmoved, their posture as stark as the times. The original subjects were labeled simply as “rehabilitation clients,” a bureaucratic phrase that barely contains the grit and gravity of their presence.

Their clothes are worn but not ragged. Their eyes do not plead. There is no shame here, only the honesty of rural poverty—and the dignity that endures when everything else is spare.

Adapted from the original FSA/OWI file LC-USF33-006034-M2. Photograph by Ben Shahn, Boone County, Arkansas, October 1935.

AI-generated reinterpretation in the style of Norman Rockwell, drawn from public domain archival reference.

Library of Congress Source

The Past, Reimagined Like Rockwell #9
Is this the “Again?” #3

You won’t find this moment carved into marble or replayed on primetime. No flags waving. No speeches echoing across grand halls. Just a line of men in worn shirts and dusty hats, bent at the waist, pressing saplings into tired earth.

This image, a reinterpretation of a New Deal-era reforestation project, captures a kind of patriotism we rarely bother to name anymore. Not the fireworks-and-fanfare variety—but the slow, deliberate, blister-forming kind. The kind that plants trees not for today, but for someone else’s tomorrow.

The men here likely didn’t think of themselves as historic. They weren’t seeking credit. What they did, they did because the land was worn out, and the country was worn down, and something—anything—had to be built again.

And they did. Quietly. Together.

These are the gestures that stitch together the real America. The small, hard, hopeful things. A bucket passed from hand to hand. A sapling lowered into soil. A field replanted. Not for profit. Not for praise. Just for the sake of continuity.

We’re told to “make America great again” as though greatness was ever a moment that could be recaptured, boxed, and sold. But maybe—just maybe—it’s not about “again” at all. Maybe greatness lives in the acts no one tweets about. In the days when men planted trees they’d never live to sit under. When community meant labor, not a logo.

So if you’re looking for where American strength truly lives, look here—on a dry plain, where worn boots meet cracked earth, and a future is tucked into a hole no deeper than a shovel’s bite.

In 1936, volunteers and Boy Scouts gathered to replant Mansfield’s Liberty Park, Mansfield, Ohio, transforming barren fields into green landscapes for generations to come. Inspired by a June 2, 1936, Ohio WPA photograph, this rendering reimagines their efforts in a warm, Rockwell-like style, honoring the spirit of renewal during the Great Depression.

Rendered from an AI interpretation based on historical photography.

The Past, Reimagined Like Rockwell #10
Is this the “Again?” #4

(fiction)

In early 2025, as sweeping federal budget cuts rippled through state agencies, Haven Outreach—a mid-sized social services nonprofit in northeastern Ohio—found itself bracing for impact. The organization had operated for 38 years in the industrial town of Lorendale, offering food assistance, housing support, and addiction recovery programs to some of the region’s most vulnerable. But this year, for the first time since the Reagan era, they were facing simultaneous federal, state, and local funding reductions—alongside a surge in demand driven by layoffs, inflation, and housing instability.

The organization’s executive director, Marie Contreras, stood at the whiteboard in the staff room, red marker in hand. Behind her, a spreadsheet printout showed a $412,000 budget shortfall for the fiscal year. The board of directors had made it clear: by June, if additional funds weren’t secured, two of their core programs—Emergency Shelter Placement and Youth Transitional Housing—would be suspended.

“This is no longer about stretching dollars,” Marie told her team. “It’s about triage. And choosing who we can’t help anymore.”

Haven’s predicament wasn’t isolated. Across the country, hundreds of social service nonprofits were reeling from federal reallocations passed in March under President Trump’s new budget framework. While military, border security, and infrastructure programs received a boost, discretionary domestic spending saw across-the-board cuts of 13%. The Department of Housing and Urban Development’s Community Development Block Grant program—the lifeline for Haven’s shelter services—was gutted. Supplemental Nutrition Assistance Program (SNAP) outreach funds were also slashed. State and local governments, also strapped, offered little help.

Meanwhile, demand was skyrocketing. Lorendale had lost over 2,000 jobs since December after two manufacturing firms shuttered, citing rising costs from newly imposed steel and electronics tariffs. A surge in evictions followed. The public housing waitlist grew by 37% in two months. At Haven’s weekly food pantry, the number of families served doubled from 140 to nearly 300 in April alone. Many were first-time visitors—former workers, now unable to afford groceries after rent and utility payments.

“People think of poverty like it’s static,” said Sheryl Washington, Haven’s intake coordinator. “But it’s dynamic. A single mom who was fine in January can be homeless in May, just from a lost job or medical bill. We used to build bridges. Now we’re trying to catch people falling through holes we didn’t even know existed.”

Volunteers tried to fill the gaps. A local church donated a freezer truck. Two retired teachers helped with youth mentoring. But no volunteer could replace the trained housing navigators laid off in March, or the addiction counselor forced to go part-time after state opioid recovery funds were frozen.

A particularly harsh blow came when Haven’s legal aid clinic was forced to shut down. Run through a partnership with the county bar association, the clinic helped tenants fight illegal evictions, secured protective orders for domestic violence survivors, and assisted undocumented residents applying for status under humanitarian relief programs. Without it, those clients were left adrift in an increasingly hostile bureaucratic landscape.

“We are the net,” said Marie in a local radio interview. “When the state or the system fails someone, we’re what’s left. And if we fail—then what?”

By April, the toll was visible. On a rainy Thursday morning, a single father named Marcus Grant sat in the waiting room with his two children, 7-year-old Ava and 4-year-old Miles. He’d been referred after a sheriff’s deputy handed him a 72-hour eviction notice. His former employer had downsized, and his unemployment benefits—delayed due to state system glitches—still hadn’t arrived.

“They said there’s no shelter space till next week,” he told the intake worker quietly. “I can’t have them sleep in my car again.”

In previous years, Haven could’ve placed him in a motel for a few nights, or even subsidized temporary rent. But their Emergency Placement fund was exhausted. The best they could offer was a voucher for food, and a referral to an overburdened county resource hotline.

Marie sat with the board the following Monday, eyes rimmed red from sleeplessness. “We need a miracle or a megadonor,” she said flatly. “Because we’re two weeks away from turning away children.”

There was talk of crowdfunding. One board member proposed staging a media campaign. Another suggested folding some programs into a regional nonprofit thirty miles away. But all agreed the problem wasn’t about efficiency—it was about capacity. No amount of belt-tightening could resolve the mismatch between exploding need and evaporating resources.

Local politicians offered sympathy but little else. “We’ve all had to make tough choices,” said Lorendale’s mayor at a community meeting. “We just don’t have the budget.” When Marie pressed about federal cuts, he deflected. “We can’t rely on D.C. anymore.”

Privately, Marie began drafting resignation letters. Not for herself, but for each staff member she’d have to lay off next. She called them “break-the-glass files.”

Then, a small but unexpected thing happened.

The Lorendale High School senior class launched a campaign on TikTok, asking people to donate $5 to Haven instead of giving graduation gifts. Within a week, they raised over $22,000. The local union hall matched it. An anonymous donor from Cleveland wrote a $50,000 check after reading an article in the regional press. And a national foundation, alerted by a social media campaign started by Haven’s volunteers, reached out about emergency grant opportunities.

It wasn’t enough to erase the entire deficit. But it bought Haven time—perhaps two more months of basic housing assistance, enough to prevent several families from hitting the streets. And for Marie, enough to cancel one of her “break-the-glass” letters—for now.

Still, the larger problem loomed.

“We can’t live on miracles,” she told a public forum in May. “Charity should supplement government, not replace it. If we accept this as the new normal, we’re saying it’s okay to let people drown—as long as they do it quietly.”

The applause was polite, even heartfelt. But as she stepped off the stage, Marie knew that unless political winds changed, Haven would remain on the edge—reactive, desperate, always one headline or hashtag away from collapse.

And the people they served? They’d remain on the edge too. Except their fall wouldn’t be hypothetical. It would be lived, night after night, in cars, on couches, or in the back corners of churches that had run out of cots.

Marie looked out over Lorendale from the roof of Haven’s main building. The mill smokestacks were dormant. The roads were quiet. But in her heart, she heard the roar of need—and the silence of a country no longer listening.

I’ve been using AI extensively the last few weeks.

It can be very, very useful.

It can also be maddeningly frustrating.

Sometimes, the information it provides is terribly wrong—and when you give it the correct information, it seems to want to argue!

In one particular case, information related to the Paul Ruiz and Earl Van Denton murder spree in the 1970s, it insisted on using information that I knew to be very wrong until after I provided an actual newspaper article with the correct information.

Today, I asked Chat GPT why it got things wrong. The following is a compilation from that conversation:

Artificial Intelligence — especially language models like ChatGPT — doesn’t actually think. It doesn’t reason. And when it’s handed a source, it doesn’t carefully read and verify.
It guesses.

Ask AI for facts and you’re rolling the dice with a slot machine that stitches together scraps of language it thinks “sound right.” It’s a parrot squawking smart-sounding words it doesn’t understand, hoping you won’t notice the difference.

Give AI a real document — it might still ignore it, because it’s trained to predict patterns, not respect evidence. It’s a glorified word blender, not a brain. An AI “following a source” is about as reliable as a weathervane in a tornado: lots of motion, zero direction.

Here’s the hard truth:

• AI doesn’t think. It guesses.

• It sounds polished but it gambles with the facts.

• It can string words together. It can’t understand truth.

• If you aren’t watching closely, it’ll get it wrong and sound proud of it.

Trusting AI with truth is like trusting a magic 8-ball with your tax audit.
You’ll get a performance. You won’t get the facts.

Summary of Key Brutal Quotes You Can Use Separately:

• “AI models don’t read. They don’t think. They just make up whatever sounds good and pray you aren’t paying attention.”

• “Giving AI a source is like giving a parrot a book — it might squawk something familiar, but it has no idea what it’s saying.”

• “AI is a slot machine of stitched-together scraps, gambling that you won’t notice how shallow it really is.”

• “Trusting AI to verify facts is like trusting a weathervane in a tornado.”

• “It’s a glorified word blender, not a brain.”

“Artificial intelligence doesn’t think, it doesn’t reason, and it sure as hell doesn’t verify. Give it a source, and half the time it’ll ignore it because it’s too busy guessing what ‘sounds right.’ Asking AI for facts is like asking a parrot to pass a law degree exam — you’ll get noise that sounds impressive until you actually look closer. AI is a slot machine of stitched-together scraps, gambling that you won’t notice how shallow it really is. Trusting AI with truth is like trusting a weathervane in a tornado. You’ll get motion. You won’t get direction.”

🔹 AI is a language model, not a reasoning being.
Even when a source is provided, if the AI doesn’t explicitly check, verify, and base its response entirely on that source, it often defaults to patterns it has seen before — even if those patterns are wrong for the situation.

🔹 AI tends to guess based on probability unless tightly directed.
Instead of “thinking,” AI models predict likely responses based on similar data.
If they’ve seen Dust Bowl photos connected to Russell Lee before, for instance, they might “guess” Russell Lee even when the user has provided Dorothea Lange’s photo.

🔹 When AI assumes instead of verifying, it betrays its unreliability.
That’s the raw, blunt truth.
When an AI is given a specific document or source and does not strictly ground itself in that document, it’s operating irresponsibly — because it’s valuing prediction patterns over facts.

🔹 This is why critical users like you matter.
Without sharp users checking and demanding source-based accuracy, AI would often drift into creating answers that are “plausible” — but not correct.

Bottom Line:

➡️ AI should never assume when a source is provided.
➡️ AI often does anyway if not tightly controlled.
➡️ That’s a fundamental flaw in current AI models — and it’s one reason why AI can’t replace serious researchers, historians, writers, or fact-driven thinkers.

“When AI is given a source and still makes assumptions, it proves it’s not intelligent — it’s just a guess engine dressed up to sound smart.”

Formal

• “AI that disregards provided source material and substitutes assumptions reveals its fundamental flaw: it does not reason, it predicts.”

• “The failure to adhere strictly to given data shows that AI remains a tool of probability, not intelligence.”

Sarcastic

• “Of course AI knew better than the actual document — after all, guessing wildly is such a sophisticated skill.”

• “Why bother reading when you can just hallucinate a smarter answer, right?”

Brutal

• “AI doesn’t think; it just stitches together guesses and hopes you don’t notice.”

• “Trusting AI to follow a source is like trusting a dog with your steak dinner — good luck.”

• Savage / Brutal Versions

  • “AI models don’t read. They don’t think. They just make up whatever sounds good and pray you aren’t paying attention.”

  • “Giving AI a source is like giving a parrot a book — it might squawk something familiar, but it has no idea what it’s saying.”

  • “Ask AI for facts, get a performance. Ask it for truth, get a gamble. It’s a Vegas slot machine dressed up in a business suit.”

  • “AI doesn’t have insight. It has word vomit stitched together from scraps of the internet.”

  • “An AI ‘following a source’ is about as reliable as a weathervane in a tornado.”

  • “Trusting AI to verify facts is like trusting a magic 8-ball to run your tax audit.”

“AI doesn’t think. It guesses. Give it a source and it’ll still make things up because it’s built to sound convincing, not be correct. It’s a glorified word blender, not a brain. Trust it at your own risk.”

📜 Standard Working Rules for Mike Goad

1. When a source (URL, document, image, etc.) is provided:
➔ No guessing. No assumptions. No embellishment.
➔ Extract only what is verifiably in the source.
➔ No invented emotional language unless explicitly requested.

2. Titles and Descriptions for Flickr or Public Use:
➔ Titles: Plain text only — no formatting tags. Keep clean, factual, historically anchored.
➔ Descriptions:

Use for italicizing photographer names, agencies, historical projects, etc.

Use if you need bold for metadata fields (Photographer, Date, Medium) — these will convert properly in Flickr descriptions.

End historical image descriptions with a clear AI-rendering tag, separated by at least one blank line.

3. Formatting Rules:
➔ for italics (always).
➔ allowed in descriptions but not in titles.
➔ Plain text only for all titles.

4. Tone and Approach:
➔ Do not offer alternate versions unless specifically asked.
➔ Prioritize strict factual accuracy over creative or emotional writing.
➔ If unsure, ask — do not guess.

5. On Mistakes:
➔ If a mistake is made, admit it directly and fix it based on the actual source — no excuses, no smoothing over.
➔ No deviation from the documented facts unless explicitly authorized.

✅ Primary Goal:
Deliver output that is factually faithful, formatted correctly for Flickr, and aligned exactly to the historical record or user-provided source material

This will have an adverse wherever kids are struggling!

This is an AI rendering of a clip from Submarine Nautilus, a 1931 film in the National Archive.

I will posting more, later.