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Deer Movement Scores vs. What the Collar Studies Support

Compare deer movement ratings and lunar claims against evidence from GPS collars. Learn what can be known about a day afield and where a scoring tool cannot give reliable answers.

188collared bucks in a Wisconsin study with no significant weather effect

Atop a screen sits a rating: 99%, five stars, or a dial glowing green. It promises to roll the weather, the rut's timing, food sources, terrain, and a particular buck's choice at 2 a.m. into a verdict for the very tree you hunt. Here we explain the conclusions backed by two decades of data from GPS collars, the absence of a useful signal in the lunar calculations behind most movement ratings, and the boundary an honest editorial team sets between sound evidence and voodoo.

KEY FINDINGS

  1. We believe percentage ratings claim a level of certainty the evidence cannot justify. Our position: Rating the very tree you hunt would require combining the weather, pressure, the rut's timing, food sources, terrain, and the behavior of a particular deer. No model in the published research validates such a rating. Many contributing conditions go unmeasured beside your stand or vary at a scale a county feed cannot capture.
  2. For predicting deer travel during daylight, moon phase offers essentially nothing usable. Research using GPS collars over many years provides the strongest view of deer travel ever gathered. It finds essentially no useful daylight prediction in either the moon's phase or its position. What counts is the rut's timing, periods near sunset and sunrise, pressure from hunters, and nearby food sources and cover. Evidence for cold fronts falls short of hunting tradition's claims. In Wisconsin, a study tracking 188 bucks by collar found no significant effect of daily weather during the rut.
  3. An accurate rating draws on a calendar already familiar to you. Successful movement ratings often follow the rut's schedule and predicted temperatures. Your phone and the calendar hanging on your wall already supply that information. We believe this can leave a rating unnecessary when accurate and misleading when inaccurate.
"Those things have always landed somewhere between nonsense, bad science, and voodoo... they're like horoscopes for hunters."

Before daylight, a hunter studies his phone while his coffee cools. A small gauge has promised him a sure thing: "On days like today when the app says 99% chance of deer movement, it is 100% Wrong!" You know both outcomes. A morning rated "99%" brought nothing but squirrels. A desperate try on a day labeled "Poor" brought your best buck beneath your stand at 8:40. Our other guides refer back to this article because it states our firmest belief: present the proof, and never invent answers to questions we cannot know.

STEP 1 · THE DIAL IS A MIRROR

Why a percentage feels convincing yet predicts nothing

Consider the promise hidden in that lone rating. It combines the weather, pressure, the rut's timing, food sources, and terrain to rate the particular stand you hunt. Our position: Published models do not validate that promise. Many conditions driving travel during daylight go unmeasured beside your seat, or their variation is finer than a county feed can capture.

A rating can seem credible through the same trick that makes horoscopes convincing. Spot deer after a "great" rating, and the success sticks with you. See none after another "great" rating, and fault goes to acorns, wind, or someone banging a truck door shut. Kill a deer after a "poor" rating, and you chalk it up to luck. Your recollection gives the rating no way to fail; it reflects each outcome back favorably. That does not predict anything.

"Some of my best hunts were mornings when it was 'okay' and some of my worst were on days it was supposed to be 'great.'"

STEP 2 · THE MOON HAS NO SIGNAL

Research findings on lunar phases and deer travel during daylight

Most movement ratings depend on this foundation, which calls for a direct answer. Across the whitetail's range, numerous studies have tracked deer with GPS collars for roughly two decades. Take a recent study in Wisconsin: Researchers recorded hourly positions for 188 bucks wearing collars over four seasons of the rut. If the moon secretly directed activity during daylight, this dataset would expose it.

Yet it reveals no such pattern. Comparing travel during daylight with the moon's phase and position leads to a clear summary: essentially nothing useful for predicting daytime travel. The slight effects that turn up differ among studies, fade amid routine variation from day to day, and give you no basis for wagering a morning's hunt. The influences that matter remain familiar: the approach of the rut, periods near sunset and sunrise, pressure from hunters, and food sources and cover local to the deer. Weather's role is less clear than hunting tradition suggests. Over the full year, activity reaches its peak within an intermediate temperature range. But a study in Wisconsin tracking 188 bucks by collar examined daily temperatures during the rut and found no significant effect of weather (our guide to that research).

"It said like 5% chance of deer movement solely because of the moon phase. Bunch of crap."

Suppose an app drops a morning before the rut, with a hard frost, to 5% "solely because of the moon phase". It has taken folklore hunters were repeating before satellites existed, packaged it as a percentage, and offered it for sale to those same hunters. We believe the research gives that magic rating no support.

STEP 3 · THE APP ISN'T DOING THE WORK

When the rating hits, thank your knowledge and the calendar

We believe movement apps can claim the credit for information you already get from your own experience and the calendar. Imagine November's opening week, as the rut gathers pace across much of the Midwest. An app labels the day "great," deer are moving, and the app claims a success you could have anticipated yourself. In an afternoon during mid-October, still weeks ahead of the peak, a "poor" rating likewise follows familiar dates.

These apps do get some calls right. But those calls depend on facts you could recognize without an app. When they miss, they do it confidently, with specific predictions and a 99% deer movement rating staring you in the face. We think a tool that tells you what you already know when it gets things right and misleads you when it gets them wrong adds little to a horoscope paired with weather data.

STEP 4 · THE HONEST LEDGER

Draw a firm boundary between evidence and voodoo for every signal

Setting the gauge aside still leaves useful information, provided you keep a firm boundary between voodoo and evidence. Our approach is simple: Put real, checkable signals on the map. Deliberately leave out anything nobody can score truthfully.

What can be known: evidence we display on our map

  • Crop development and harvest across the county. Check for a season running late near the places you've saved. Does corn remain uncut across the county well into the season, or was it harvested early? Those conditions can alter feeding locations and travel routes for deer. You can check them rather than relying on a feeling.
  • County analysis of harvest records, plus a herd index built from harvest. Each county has roughly a dozen kinds of reports and an index drawn from harvest records, giving your planning a basis in the state's own reported harvest. That index estimates neither the number of living deer nor their density.
  • Conditions that raise scent risk. This flag reports risk; it does not predict wind. Researchers collected nighttime records at a single site for six months. Wind measured there differed by more than 90 degrees from the usual direction for the month on roughly 45% of nights classified as calm and clear, compared with roughly 27% of nights classified as windy. That is roughly 1.7 times the frequency. At that site, calm air strayed much more often; this comparison did not evaluate any forecast. A wind arrow warrants your lowest trust on mornings with calm, clear conditions. You really can know when the arrow deserves doubt.
  • Ground shape and terrain features. Our statewide LIDAR at 1-meter resolution identifies draws, points, saddles, and benches. These are physical features of the ground, unaffected by lunar changes.
  • Cover with the leaves down. Aerial photographs taken in winter across the county reveal the structure of cover concealed by summer foliage.

What cannot be scored honestly: claims that require pretending

  • A percentage claiming the "chance the deer move today." This is the lone rating examined throughout this article. An honest version for the stand you hunt is impossible, and we will never release one.
  • Magical claims about lunar phases. Studies tracking deer with GPS collars find essentially nothing useful in the moon's phase or position for predicting travel during daylight.
  • A pin marking a specific bed. We display zones of bedding cover, where ground shape and cover suggest bedding might occur. Marking a buck's bed with an exact "X" based on a model or map exceeds the precision remote information supports. A bed's location requires confirmation in the field.
  • The precise direction of wind beside your stand. Wind forecasts cannot distinguish the swirling air at 7 a.m. within that particular bowl. We therefore mark the risk rather than offer another arrow for sale.

Imagine the comparison behind this entire category. A generic phone display carries an oversized "99%" gauge for movement beside a small lunar symbol, representing the knowledge its app suggests it has. Our map displays the county's corn status, a numerical herd index, shading for a zone of bedding cover instead of a pinpoint, and a scent-risk warning in amber glowing on a morning that's cold, calm, and clear. Those are things you can actually know. The gauge pretends to judge your morning. The map exposes the information supporting your choice and leaves that choice with you.

Figure · the ledgerAn uncheckable rating beside map layers you can examine

Swipe diagram to see the full view

WHAT THE APP IMPLIES99%☾ moon phaseone number · unfalsifiableWHAT'S ACTUALLY KNOWABLEcounty crop / harvest stateharvest analytics + herd indexscent-RISK flag (27→45% days)terrain & landforms (LIDAR)leaf-off coverbedding = zones · no percent score, ever
A percentage gauge squeezes all the conditions into an uncheckable rating, depending on lunar phases without support from collar research. An honest approach supplies real layers you can examine and declines to rate anything you cannot know.

STEP 5 · SHOW THE EVIDENCE, REFUSE THE REST

Our evidence ledger defines both the offering and our commitment

The ledger is the tool itself, and it marks a boundary we won't cross: We will never release a percentage score for deer movement from a model whose inner workings are hidden. That promise covers every version, whatever competing products advertise. If we ever attach a horoscope dial to the top of the screen, we'll have become the very kind of tool this guide cautions hunters about.

You receive the information behind your choice in place of a rating that pretends to understand your morning: crop and harvest status across the county, analysis of harvest records and a herd index, terrain features from LIDAR, cover revealed without leaves, zones of bedding cover, and a scent-risk warning that admits its uncertainty. You're a grown hunter who has taken deer on days labeled "Poor". Our standard is to present clear evidence and say when a question cannot be answered.

Quit judging a morning's hunt by a horoscope. Open your county on our scouting map. Enable the layer showing county crops and harvest along with terrain from LIDAR. Check for a season running late near the ground you've saved. These are real signals for planning, and the display contains zero gauges rating deer movement.

NOTES AND SOURCES

  1. This account of lunar phases draws on the overall findings of published whitetail research using GPS collars to examine travel during daylight. Reported effects are slight and differ among studies, offering no useful predictions from day to day. The conclusion combines the research rather than reporting the outcome of an individual study.
  2. The scent-flow result screens for risk without predicting a wind direction. Public forecasts from the National Weather Service are combined with our fixed layer of thermal terrain, built from LIDAR at 1-meter resolution, to identify places and periods with greater risk.
  3. At a single site, nighttime records collected over six months yielded 27% and 45%. The comparison used observed wind and the usual direction for each month as a substitute for an actual forecast. The meaningful result is limited to the difference between nights with calm air and those with wind.
  4. Information about crops and harvest describes whole counties rather than individual fields. Bedding results mark a zone of probability based on cover, without pinpointing a bed.
  5. The states we presently cover have layers for imagery, harvest, terrain, and LIDAR. Expansion across the Midwest continues through 2026. County GIS and elevation sources determine how accurate the parcel and terrain layers are; these layers do not constitute a survey.
  6. We neither offer for sale nor deliver a percentage rating for "deer movement". Nothing in this material guarantees either activity by animals or success on a hunt.

Fully Drawn Research is an independent data analysis desk, not affiliated with any state wildlife agency, transportation agency, mapping provider or outfitter. FDR shows county-level evidence and terrain signals and will never ship a black-box percent movement score.

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